{"id":258,"date":"2026-04-13T09:37:24","date_gmt":"2026-04-13T09:37:24","guid":{"rendered":"https:\/\/www.devopsschool.com\/tutorials\/aws-compute-optimizer-tutorial-architecture-pricing-use-cases-and-hands-on-guide-for-management-and-governance\/"},"modified":"2026-04-13T09:37:24","modified_gmt":"2026-04-13T09:37:24","slug":"aws-compute-optimizer-tutorial-architecture-pricing-use-cases-and-hands-on-guide-for-management-and-governance","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/tutorials\/aws-compute-optimizer-tutorial-architecture-pricing-use-cases-and-hands-on-guide-for-management-and-governance\/","title":{"rendered":"AWS Compute Optimizer Tutorial: Architecture, Pricing, Use Cases, and Hands-On Guide for Management and governance"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Category<\/h2>\n\n\n\n<p>Management and governance<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Introduction<\/h2>\n\n\n\n<p>AWS Compute Optimizer is an AWS service that analyzes the resource utilization of your compute workloads and generates right-sizing recommendations to reduce cost and improve performance. It\u2019s commonly used by platform, DevOps, SRE, and finance (FinOps) teams to identify over-provisioned and under-provisioned resources and take action safely.<\/p>\n\n\n\n<p>In simple terms: <strong>AWS Compute Optimizer looks at how your workloads actually run and suggests better-sized configurations<\/strong>\u2014for example, a smaller Amazon EC2 instance, a different Auto Scaling configuration, a different Amazon EBS volume type\/size, or an adjusted AWS Lambda memory setting\u2014based on observed usage.<\/p>\n\n\n\n<p>Technically, AWS Compute Optimizer uses historical utilization metrics (primarily from Amazon CloudWatch, and optionally more detailed \u201cenhanced\u201d metrics) to evaluate CPU, memory (when available), network, disk, I\/O, and other signals. It then ranks candidate configurations and provides recommendations with supporting evidence (utilization graphs, performance risk indicators, savings estimates, and findings such as \u201cover-provisioned\u201d or \u201cunder-provisioned,\u201d depending on resource type).<\/p>\n\n\n\n<p>The core problem it solves is <strong>continuous optimization<\/strong>: most environments drift away from optimal sizing over time due to changing traffic patterns, product changes, seasonal demand, and infrastructure evolution. Manual right-sizing is slow, risky, and often neglected. AWS Compute Optimizer helps you prioritize and operationalize optimization work as part of your <strong>Management and governance<\/strong> practice.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. What is AWS Compute Optimizer?<\/h2>\n\n\n\n<p><strong>Official purpose (what it\u2019s for):<\/strong> AWS Compute Optimizer helps you <strong>optimize compute resources<\/strong> by providing <strong>recommendations<\/strong> that can reduce cost and\/or improve performance based on analyzed utilization data.<br\/>\nPrimary docs: https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/what-is.html<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Core capabilities<\/h3>\n\n\n\n<p>AWS Compute Optimizer typically provides recommendations for these resource categories (verify current supported resource types in the official docs because AWS expands coverage over time):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Amazon EC2 instances<\/strong>: instance type recommendations based on utilization<\/li>\n<li><strong>EC2 Auto Scaling groups<\/strong>: recommended instance types and group configuration guidance<\/li>\n<li><strong>Amazon EBS volumes<\/strong>: volume type\/size and performance characteristics recommendations<\/li>\n<li><strong>AWS Lambda functions<\/strong>: memory configuration recommendations (which directly affects performance and cost)<\/li>\n<\/ul>\n\n\n\n<p>It also commonly supports:\n&#8211; <strong>Findings and ranking<\/strong> (e.g., under\/over-provisioned vs optimized)\n&#8211; <strong>Savings and performance impact signals<\/strong> (estimates and\/or risk indicators)\n&#8211; <strong>Export<\/strong> recommendations for reporting and automation workflows\n&#8211; <strong>Organization-level visibility<\/strong> (multi-account governance) when using AWS Organizations<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Major components<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Compute Optimizer console<\/strong>: interactive UI for viewing findings, utilization, and recommendations<\/li>\n<li><strong>Compute Optimizer APIs<\/strong>: programmatic access for automation and reporting<\/li>\n<li><strong>Compute Optimizer CLI commands<\/strong> (via AWS CLI): to query recommendations and create exports<\/li>\n<li><strong>Service-linked role<\/strong>: permissions AWS Compute Optimizer uses to read necessary metrics\/configuration (created when you enroll\/enable)<\/li>\n<li><strong>Recommendation export jobs<\/strong>: optional workflow to export recommendations to Amazon S3 for analytics<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Service type<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Management and governance \/ optimization advisory service<\/strong><\/li>\n<li>It does <strong>not<\/strong> automatically resize resources; it provides <strong>recommendations<\/strong> that you choose to apply.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Scope (regional\/global\/account)<\/h3>\n\n\n\n<p>AWS Compute Optimizer is an AWS service you <strong>enable (enroll)<\/strong> for an account (and optionally across an AWS Organization). Recommendations are produced for supported resources in supported Regions. The service has regional characteristics (resources are regional), and you typically view recommendations in the context of Regions and accounts.<\/p>\n\n\n\n<p>Because AWS capabilities and region coverage change, <strong>verify the exact region availability and organization\/delegated admin behavior in the official docs<\/strong>:\n&#8211; Compute Optimizer user guide: https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/what-is.html\n&#8211; Region coverage: https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/regions.html (verify)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How it fits into the AWS ecosystem<\/h3>\n\n\n\n<p>AWS Compute Optimizer complements (not replaces) other AWS cost and governance tools:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Amazon CloudWatch<\/strong>: provides the utilization metrics Compute Optimizer analyzes<\/li>\n<li><strong>AWS Organizations<\/strong>: enables multi-account governance and consolidated views<\/li>\n<li><strong>AWS Cost Explorer \/ Billing<\/strong>: for tracking actual spend and realized savings after changes<\/li>\n<li><strong>AWS Trusted Advisor<\/strong>: offers broader best-practice checks; Compute Optimizer is specialized for compute sizing<\/li>\n<li><strong>AWS Systems Manager<\/strong>: can help safely operationalize changes (maintenance windows, automation, patching)<\/li>\n<li><strong>Amazon S3 + Amazon Athena<\/strong>: store and query exported recommendation data for reporting\/FinOps dashboards<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">3. Why use AWS Compute Optimizer?<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Business reasons<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reduce cloud spend<\/strong> by identifying over-provisioned compute resources.<\/li>\n<li><strong>Improve cost predictability<\/strong> by continuously detecting drift away from optimal sizing.<\/li>\n<li><strong>Support FinOps practices<\/strong> with evidence-based recommendation exports and reporting.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Technical reasons<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Right-size based on observed workload behavior<\/strong> instead of guesswork.<\/li>\n<li><strong>Improve performance<\/strong> by detecting under-provisioning and suggesting larger or more appropriate resource configurations (where supported).<\/li>\n<li><strong>Accelerate modernization<\/strong> by nudging workloads toward more appropriate compute shapes as your application changes (exact options depend on current recommendation catalog).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Operational reasons<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Prioritize work<\/strong>: focus on the highest-impact opportunities (savings or risk reduction).<\/li>\n<li><strong>Standardize optimization reviews<\/strong>: run periodic recommendation reviews, track progress, and audit decisions.<\/li>\n<li><strong>Automate reporting<\/strong>: export recommendations to S3 and build dashboards, alerts, and ticket workflows.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Security\/compliance reasons<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Least privilege &amp; auditability<\/strong>: recommendations can be reviewed and applied through controlled change management, with CloudTrail logging for actual resize actions (Compute Optimizer itself is advisory).<\/li>\n<li><strong>Multi-account governance<\/strong>: apply consistent optimization policies across accounts (for example, sandbox vs production).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Scalability\/performance reasons<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Protect performance at scale<\/strong>: in large fleets, a small percentage of mis-sized resources can create incident patterns.<\/li>\n<li><strong>Informed scaling decisions<\/strong>: recommendations can guide Auto Scaling group configuration reviews.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">When teams should choose it<\/h3>\n\n\n\n<p>Choose AWS Compute Optimizer when:\n&#8211; You run <strong>EC2, Auto Scaling groups, EBS, or Lambda<\/strong> at meaningful scale.\n&#8211; You need an evidence-based way to right-size resources repeatedly.\n&#8211; You want a native AWS approach that ties into CloudWatch and AWS Organizations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">When teams should not choose it<\/h3>\n\n\n\n<p>Avoid relying on AWS Compute Optimizer as your only tool when:\n&#8211; You need <strong>application-level profiling<\/strong> (code hotspots, DB query analysis); use APM tools or AWS X-Ray instead.\n&#8211; You need <strong>Kubernetes-specific resource optimization<\/strong> (requests\/limits tuning) across clusters; consider Kubernetes-native tools (and verify if your environment is covered by Compute Optimizer\u2019s current scope).\n&#8211; You expect <strong>automatic changes<\/strong> without human review\u2014Compute Optimizer is primarily advisory.\n&#8211; You have <strong>very spiky or highly irregular workloads<\/strong> where historical metrics may not represent future demand (you can still use it, but treat recommendations cautiously).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. Where is AWS Compute Optimizer used?<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Industries<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>SaaS and technology<\/li>\n<li>E-commerce and media streaming<\/li>\n<li>Financial services (with strong change control)<\/li>\n<li>Healthcare and life sciences<\/li>\n<li>Education and research<\/li>\n<li>Gaming (bursty demand patterns)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Team types<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Platform engineering \/ cloud infrastructure teams<\/li>\n<li>DevOps and SRE teams<\/li>\n<li>FinOps \/ cloud cost management teams<\/li>\n<li>Security and governance teams (as part of operational governance)<\/li>\n<li>Application teams that own performance and cost KPIs<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Workloads<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Microservices and APIs on EC2 \/ Auto Scaling<\/li>\n<li>Batch workers and schedulers (often over-provisioned \u201cjust in case\u201d)<\/li>\n<li>CI\/CD runners and ephemeral environments<\/li>\n<li>Data processing workloads with variable utilization<\/li>\n<li>Lambda-based serverless backends where memory tuning impacts both cost and latency<\/li>\n<li>EBS-heavy workloads where volume type\/size mismatches are common<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Architectures<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Multi-account AWS Organizations with centralized governance<\/li>\n<li>Shared services account for logging\/analytics, with exported recommendations aggregated in S3<\/li>\n<li>Mixed workload accounts (dev\/test\/prod) where different optimization policies apply<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Real-world deployment contexts<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Production<\/strong>: typically run as a continuous optimization signal with change review and safe rollout.<\/li>\n<li><strong>Dev\/test<\/strong>: quickly identifies chronic over-provisioning and can reduce waste significantly, but beware of \u201cdeveloper convenience\u201d workloads that intentionally idle.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">5. Top Use Cases and Scenarios<\/h2>\n\n\n\n<p>Below are realistic, high-impact scenarios. Each includes the problem, why AWS Compute Optimizer fits, and a short example.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1) EC2 right-sizing for steady-state services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> EC2 instances were sized for peak traffic during launch and never revisited.<\/li>\n<li><strong>Why this service fits:<\/strong> Uses historical utilization to recommend smaller instance types while considering performance risk signals.<\/li>\n<li><strong>Example:<\/strong> A web tier running at 5\u201310% CPU most of the day gets recommendations for smaller instances across the fleet.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2) Detecting under-provisioned EC2 instances causing latency<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Users see intermittent latency; instances show sustained high utilization.<\/li>\n<li><strong>Why this service fits:<\/strong> Identifies instances that may be under-provisioned and suggests larger or different configurations (depending on supported signals).<\/li>\n<li><strong>Example:<\/strong> API instances regularly hit high CPU; recommendations suggest a bigger size for stability.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3) Auto Scaling group configuration review<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Auto Scaling group uses an instance type chosen years ago; scaling behavior is noisy.<\/li>\n<li><strong>Why this service fits:<\/strong> Provides ASG-focused recommendations to right-size the group\u2019s compute configuration.<\/li>\n<li><strong>Example:<\/strong> An ASG supporting background workers gets guidance to use a different instance type family and right-size capacity.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4) EBS volume type\/size optimization for cost and performance<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Volumes are over-sized and over-provisioned; some are under-performing.<\/li>\n<li><strong>Why this service fits:<\/strong> Analyzes volume throughput\/IOPS usage patterns and recommends more appropriate EBS types\/sizes.<\/li>\n<li><strong>Example:<\/strong> A fleet using higher-cost EBS volumes with low IOPS usage receives recommendations to switch types.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">5) Lambda memory tuning for cost and latency balance<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Lambda functions are configured with too much memory \u201cfor safety,\u201d increasing cost.<\/li>\n<li><strong>Why this service fits:<\/strong> Recommends memory settings based on observed execution characteristics.<\/li>\n<li><strong>Example:<\/strong> Image thumbnail Lambda at 2048 MB gets a recommendation to reduce memory while maintaining acceptable duration.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6) FinOps monthly optimization sprints<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Cost optimization tasks are ad hoc and lack measurable backlog prioritization.<\/li>\n<li><strong>Why this service fits:<\/strong> Exports and rankings support a repeatable cadence (monthly\/quarterly).<\/li>\n<li><strong>Example:<\/strong> A FinOps team exports recommendations weekly to S3 and tracks \u201csavings opportunity accepted vs completed.\u201d<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">7) Multi-account governance and reporting<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Large org can\u2019t consistently optimize across dozens of accounts.<\/li>\n<li><strong>Why this service fits:<\/strong> With AWS Organizations patterns, central teams can review and report across accounts (verify exact delegated admin capabilities in current docs).<\/li>\n<li><strong>Example:<\/strong> Platform team collects exports from all accounts into a centralized S3 bucket for dashboards.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">8) Pre-migration right-sizing (data center to AWS)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Lift-and-shift workloads were mapped conservatively; AWS bill is higher than expected.<\/li>\n<li><strong>Why this service fits:<\/strong> Helps validate and tune initial sizing after migration using real metrics.<\/li>\n<li><strong>Example:<\/strong> A migrated app runs at low utilization; recommendations suggest smaller instances and EBS adjustments.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">9) Reducing wasted spend in non-production accounts<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Dev\/test workloads run 24\/7 with minimal activity.<\/li>\n<li><strong>Why this service fits:<\/strong> Quickly surfaces consistently underutilized resources so teams can downsize or schedule shutdowns (shutdown scheduling is separate).<\/li>\n<li><strong>Example:<\/strong> A staging environment shows consistently low usage; rightsizing reduces baseline spend.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">10) Continuous optimization with change-control safety<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Teams fear performance regressions from cost-cutting.<\/li>\n<li><strong>Why this service fits:<\/strong> Provides evidence, utilization charts, and risk indicators to support approvals and staged rollouts.<\/li>\n<li><strong>Example:<\/strong> Ops team applies recommendations to 10% of instances first, validates SLOs, then expands.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">11) Optimization evidence for leadership reporting<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Leadership asks, \u201cWhat are we doing to control AWS spend?\u201d<\/li>\n<li><strong>Why this service fits:<\/strong> Exports and dashboards create measurable KPIs (recommendations applied, savings realized).<\/li>\n<li><strong>Example:<\/strong> Monthly report: number of \u201cover-provisioned\u201d findings reduced by 35%.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">12) Tuning EBS for bursty I\/O workloads<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Occasional I\/O spikes cause queue depth issues; current volumes are misaligned.<\/li>\n<li><strong>Why this service fits:<\/strong> Volume recommendations can highlight performance risk patterns (depending on collected metrics).<\/li>\n<li><strong>Example:<\/strong> Logging workloads with periodic spikes get recommendations to adjust volume characteristics.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">6. Core Features<\/h2>\n\n\n\n<blockquote>\n<p>Note: AWS adds features over time. The list below covers widely used, well-established capabilities. <strong>Verify the current supported resource types and feature set in the official user guide<\/strong>: https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/what-is.html<\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">6.1 Enrollment (enable\/opt-in) and analysis<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Lets you enable AWS Compute Optimizer for an account (and optionally an organization pattern).<\/li>\n<li><strong>Why it matters:<\/strong> The service must be enabled before it can analyze metrics and generate recommendations.<\/li>\n<li><strong>Practical benefit:<\/strong> Centralizes optimization signals in one place.<\/li>\n<li><strong>Caveats:<\/strong> Recommendations require enough historical utilization data; new resources may show \u201cinsufficient data\u201d initially.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.2 EC2 instance recommendations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Suggests alternative EC2 instance types\/sizes based on utilization history.<\/li>\n<li><strong>Why it matters:<\/strong> EC2 rightsizing is a top cost lever.<\/li>\n<li><strong>Practical benefit:<\/strong> Reduce spend for over-provisioned instances and improve performance for under-provisioned ones.<\/li>\n<li><strong>Caveats:<\/strong> Recommendations are only as good as the metrics window; workloads with recent changes may need longer observation.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.3 Auto Scaling group recommendations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Provides recommendations tailored to EC2 Auto Scaling groups (e.g., instance types and capacity patterns).<\/li>\n<li><strong>Why it matters:<\/strong> Many fleets run behind Auto Scaling; optimizing at group level can be more effective than per-instance.<\/li>\n<li><strong>Practical benefit:<\/strong> Improve fleet efficiency and reduce scaling noise.<\/li>\n<li><strong>Caveats:<\/strong> Mixed instance policies and custom scaling behaviors may require additional review.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.4 EBS volume recommendations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Suggests EBS volume changes (type\/size\/performance characteristics) based on observed usage.<\/li>\n<li><strong>Why it matters:<\/strong> EBS configuration is frequently over-provisioned or mismatched.<\/li>\n<li><strong>Practical benefit:<\/strong> Lower storage cost and\/or reduce performance risk.<\/li>\n<li><strong>Caveats:<\/strong> Changing volume type\/size has operational and performance considerations; follow EBS best practices and verify application requirements.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.5 Lambda function recommendations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Recommends Lambda memory settings (and related performance\/cost implications).<\/li>\n<li><strong>Why it matters:<\/strong> Lambda cost and performance are tightly coupled to memory configuration.<\/li>\n<li><strong>Practical benefit:<\/strong> Reduce cost while meeting latency goals, or improve performance if under-provisioned.<\/li>\n<li><strong>Caveats:<\/strong> Functions with unpredictable payload sizes may need conservative settings.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.6 Findings, utilization graphs, and supporting evidence<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Shows findings such as optimized vs not optimized, plus utilization history and reasoning.<\/li>\n<li><strong>Why it matters:<\/strong> Engineers need evidence to trust recommendations.<\/li>\n<li><strong>Practical benefit:<\/strong> Faster approvals in change control and clearer prioritization.<\/li>\n<li><strong>Caveats:<\/strong> Evidence depends on metric availability (basic vs enhanced metrics).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.7 Performance risk \/ confidence signals (where provided)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Communicates the potential risk of performance impact for a recommendation (terminology varies; verify in docs).<\/li>\n<li><strong>Why it matters:<\/strong> Helps you choose safer changes first.<\/li>\n<li><strong>Practical benefit:<\/strong> Enables staged rollout strategies (low-risk first).<\/li>\n<li><strong>Caveats:<\/strong> Risk models are probabilistic; always validate with load tests or canaries when needed.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.8 Recommendation preferences (constraints\/filters)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Lets you influence recommendation outputs (for example, limiting certain instance families or settings\u2014exact options vary; verify).<\/li>\n<li><strong>Why it matters:<\/strong> Prevents recommendations that violate organizational standards.<\/li>\n<li><strong>Practical benefit:<\/strong> Reduces churn and aligns with approved platforms.<\/li>\n<li><strong>Caveats:<\/strong> Over-constraining preferences can reduce quality of recommendations.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.9 Enhanced infrastructure metrics (optional, where supported)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Uses additional metrics (commonly memory and other OS-level signals) when available to improve recommendation accuracy.<\/li>\n<li><strong>Why it matters:<\/strong> CPU alone can be misleading for memory-bound workloads.<\/li>\n<li><strong>Practical benefit:<\/strong> More accurate sizing recommendations for real bottlenecks.<\/li>\n<li><strong>Caveats:<\/strong> Collecting enhanced metrics may require CloudWatch Agent and can introduce <strong>CloudWatch custom metric and log ingestion costs<\/strong>.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.10 Export recommendations to Amazon S3<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Generates exports of recommendations into your S3 bucket for analytics and reporting.<\/li>\n<li><strong>Why it matters:<\/strong> Essential for enterprise FinOps workflows and dashboards.<\/li>\n<li><strong>Practical benefit:<\/strong> Query with Athena, load into BI tools, attach to tickets, and track trends over time.<\/li>\n<li><strong>Caveats:<\/strong> S3 storage, Athena queries, and any downstream analytics costs apply.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6.11 API\/CLI automation<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it does:<\/strong> Programmatically fetch recommendations and build workflows (dashboards, alerts, ticketing).<\/li>\n<li><strong>Why it matters:<\/strong> Makes optimization continuous, not a one-time project.<\/li>\n<li><strong>Practical benefit:<\/strong> Integrate with Slack\/Jira\/ServiceNow (integration is custom-built; not a built-in feature).<\/li>\n<li><strong>Caveats:<\/strong> Be careful with automation that applies changes\u2014Compute Optimizer is advisory; resizing should follow change management.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">7. Architecture and How It Works<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">High-level architecture<\/h3>\n\n\n\n<p>AWS Compute Optimizer sits in your management\/governance toolchain and analyzes utilization and configuration data to produce recommendations.<\/p>\n\n\n\n<p>At a high level:\n1. Your workloads run on AWS resources (EC2, ASG, EBS, Lambda).\n2. Utilization metrics are emitted to <strong>Amazon CloudWatch<\/strong> (basic metrics by default; enhanced metrics optionally).\n3. AWS Compute Optimizer analyzes historical metrics and resource configuration.\n4. Recommendations are shown in the console and available via API\/CLI.\n5. Optionally, recommendations are exported to <strong>Amazon S3<\/strong> for centralized reporting and automation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data\/control flow<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data plane (metrics):<\/strong> CloudWatch metrics (and optional enhanced metrics) provide the time series used for analysis.<\/li>\n<li><strong>Control plane:<\/strong> You enable\/enroll Compute Optimizer, configure preferences, request exports, and query recommendations using IAM-authorized calls.<\/li>\n<li><strong>Action plane:<\/strong> You apply changes using the resource\u2019s own API (e.g., <code>ModifyInstanceAttribute<\/code>, <code>StopInstances<\/code> + <code>StartInstances<\/code>, EBS <code>ModifyVolume<\/code>, Lambda configuration update). These actions are separate from Compute Optimizer and are logged in AWS CloudTrail.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Integrations with related services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Amazon CloudWatch<\/strong>: metric source<\/li>\n<li><strong>AWS Organizations<\/strong>: multi-account governance (verify current delegated admin behavior)<\/li>\n<li><strong>Amazon S3<\/strong>: store exported recommendations<\/li>\n<li><strong>Amazon Athena<\/strong>: query exports for reporting (optional)<\/li>\n<li><strong>AWS Cost Explorer<\/strong>: validate realized savings after changes (optional but recommended)<\/li>\n<li><strong>AWS CloudTrail<\/strong>: audit who enabled enrollment and who applied resizing changes<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Dependency services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>CloudWatch (metrics)<\/li>\n<li>IAM (access control)<\/li>\n<li>Service-linked roles (created\/used by Compute Optimizer)<\/li>\n<li>S3 (if exporting)<\/li>\n<li>Potentially CloudWatch Agent (if you enable enhanced metrics collection)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Security\/authentication model<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Uses <strong>AWS IAM<\/strong> for all access (console, API, CLI).<\/li>\n<li>Typically creates\/uses a <strong>service-linked role<\/strong> to read required telemetry and resource metadata.<\/li>\n<li>Supports least privilege by scoping who can read recommendations vs who can apply changes.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Networking model<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>No VPC networking configuration is required to use Compute Optimizer itself; it\u2019s an AWS-managed service.<\/li>\n<li>If you export to S3 and query with Athena, you may need to consider:<\/li>\n<li>S3 bucket policies (cross-account access)<\/li>\n<li>Private access patterns (S3 Gateway VPC endpoints) for internal analytics workflows<\/li>\n<li>CloudWatch Agent traffic from EC2 instances uses normal outbound AWS endpoints (consider VPC endpoints for CloudWatch Logs\/Metrics if required by policy).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Monitoring\/logging\/governance considerations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>CloudTrail<\/strong>: track enrollment changes and export job creation; track actual resizing actions separately.<\/li>\n<li><strong>Tagging<\/strong>: use tags to filter and prioritize (e.g., <code>Environment=Prod<\/code>, <code>Owner=TeamA<\/code>, <code>CostCenter=123<\/code>).<\/li>\n<li><strong>Change management<\/strong>: treat recommendations as inputs to a controlled workflow.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Simple architecture diagram<\/h4>\n\n\n\n<pre><code class=\"language-mermaid\">flowchart LR\n  A[EC2 \/ ASG \/ EBS \/ Lambda] --&gt;|Utilization metrics| B[Amazon CloudWatch]\n  B --&gt; C[AWS Compute Optimizer]\n  C --&gt; D[Console: Findings &amp; Recommendations]\n  C --&gt; E[AWS CLI \/ API]\n<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">Production-style architecture diagram (multi-account + reporting)<\/h4>\n\n\n\n<pre><code class=\"language-mermaid\">flowchart TB\n  subgraph Org[AWS Organizations]\n    M[Management \/ Delegated Admin Account]\n    A1[Prod Account]\n    A2[Dev Account]\n    A3[Shared Services Account]\n  end\n\n  subgraph Metrics[Telemetry]\n    CW1[CloudWatch Metrics\\n(EC2\/ASG\/Lambda\/EBS)]\n    AG[CloudWatch Agent\\n(optional enhanced metrics)]\n  end\n\n  subgraph CO[AWS Compute Optimizer]\n    CO1[Recommendations Engine]\n    CON[Console \/ API]\n    EXP[Export Job]\n  end\n\n  subgraph Data[Reporting &amp; Governance]\n    S3[(Amazon S3\\nRecommendation Exports)]\n    ATH[Amazon Athena\\nQueries]\n    BI[BI \/ Dashboards\\n(QuickSight or external)]\n    ITSM[Ticketing \/ Change Mgmt\\n(custom integration)]\n  end\n\n  A1 --&gt; CW1\n  A2 --&gt; CW1\n  A1 --&gt; AG\n  CW1 --&gt; CO1\n  AG --&gt; CO1\n\n  M --&gt; CON\n  CO1 --&gt; CON\n  CO1 --&gt; EXP\n  EXP --&gt; S3\n  S3 --&gt; ATH\n  ATH --&gt; BI\n  ATH --&gt; ITSM\n<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">8. Prerequisites<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Account requirements<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>An active <strong>AWS account<\/strong> with billing enabled.<\/li>\n<li>If using multi-account governance, an <strong>AWS Organizations<\/strong> setup (optional).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Permissions \/ IAM<\/h3>\n\n\n\n<p>You need IAM permissions for:\n&#8211; Enrolling\/enabling AWS Compute Optimizer\n&#8211; Reading recommendations\n&#8211; Creating export jobs (optional)\n&#8211; Writing to an S3 bucket (for exports)<\/p>\n\n\n\n<p>AWS-managed policies may exist for Compute Optimizer access; <strong>verify current IAM policy names in official docs<\/strong>. At minimum, your principal needs permissions for <code>compute-optimizer:*<\/code> actions you intend to use and S3 write permissions for export destinations.<\/p>\n\n\n\n<p>Example (illustrative) IAM policy for a \u201cCompute Optimizer Read + Export\u201d role (review and tighten for production):<\/p>\n\n\n\n<pre><code class=\"language-json\">{\n  \"Version\": \"2012-10-17\",\n  \"Statement\": [\n    {\n      \"Sid\": \"ComputeOptimizerReadAndExport\",\n      \"Effect\": \"Allow\",\n      \"Action\": [\n        \"compute-optimizer:Get*\",\n        \"compute-optimizer:Describe*\",\n        \"compute-optimizer:Export*\",\n        \"compute-optimizer:CreateRecommendationExportJob\",\n        \"compute-optimizer:UpdateEnrollmentStatus\"\n      ],\n      \"Resource\": \"*\"\n    },\n    {\n      \"Sid\": \"S3WriteForExports\",\n      \"Effect\": \"Allow\",\n      \"Action\": [\n        \"s3:PutObject\",\n        \"s3:AbortMultipartUpload\",\n        \"s3:ListBucket\",\n        \"s3:GetBucketLocation\"\n      ],\n      \"Resource\": [\n        \"arn:aws:s3:::YOUR-BUCKET-NAME\",\n        \"arn:aws:s3:::YOUR-BUCKET-NAME\/*\"\n      ]\n    }\n  ]\n}\n<\/code><\/pre>\n\n\n\n<p>Use condition keys (like <code>aws:PrincipalTag<\/code>, <code>s3:x-amz-server-side-encryption<\/code>, <code>aws:RequestedRegion<\/code>) where appropriate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Tools<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AWS Console<\/strong> access<\/li>\n<li><strong>AWS CLI v2<\/strong> installed and configured: https:\/\/docs.aws.amazon.com\/cli\/latest\/userguide\/cli-chap-getting-started.html<\/li>\n<li>Optional: <code>jq<\/code> for JSON parsing in terminal<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Region availability<\/h3>\n\n\n\n<p>AWS Compute Optimizer is not necessarily available in every Region. <strong>Verify region support<\/strong> in the docs:\n&#8211; https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/regions.html (verify)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Quotas\/limits<\/h3>\n\n\n\n<p>Service quotas can apply (for example, export job concurrency). <strong>Check Service Quotas<\/strong> and Compute Optimizer docs for current limits:\n&#8211; https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/what-is.html (verify)\n&#8211; AWS Service Quotas console (search for \u201cCompute Optimizer\u201d)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Prerequisite services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Amazon CloudWatch<\/strong> metrics must exist for analyzed resources.<\/li>\n<li>For enhanced metrics: <strong>CloudWatch Agent<\/strong> (optional, and may add cost).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">9. Pricing \/ Cost<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Current pricing model<\/h3>\n\n\n\n<p>AWS Compute Optimizer is generally offered <strong>at no additional charge<\/strong> for the recommendations service itself (verify the current statement in official docs\/product page), but you can incur costs from the AWS services it relies on or integrates with.<\/p>\n\n\n\n<p>Official product page:\n&#8211; https:\/\/aws.amazon.com\/compute-optimizer\/<\/p>\n\n\n\n<p>Official documentation (pricing note is typically included in docs; verify current wording):\n&#8211; https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/what-is.html<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Pricing dimensions (what you might pay for)<\/h3>\n\n\n\n<p>Even if Compute Optimizer doesn\u2019t have a direct line-item charge, you may pay for:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\n<p><strong>CloudWatch metrics<\/strong>\n   &#8211; EC2 basic monitoring metrics are typically included, while <strong>detailed monitoring<\/strong> and <strong>custom metrics<\/strong> can cost extra.\n   &#8211; Enhanced infrastructure metrics (via CloudWatch Agent) can generate <strong>custom metrics<\/strong> and <strong>log ingestion<\/strong> charges.<\/p>\n<\/li>\n<li>\n<p><strong>S3 storage and requests<\/strong> (if you export recommendations)\n   &#8211; Storage for exported files\n   &#8211; PUT\/GET\/LIST requests<\/p>\n<\/li>\n<li>\n<p><strong>Athena queries<\/strong> (if you analyze exports)\n   &#8211; Charged per TB scanned (region-specific). Use partitioning and columnar formats where possible (Compute Optimizer export format is defined by AWS; you can transform downstream).<\/p>\n<\/li>\n<li>\n<p><strong>Downstream analytics\/BI<\/strong>\n   &#8211; Amazon QuickSight, third-party BI tools, data pipelines<\/p>\n<\/li>\n<li>\n<p><strong>Indirect costs from applying recommendations<\/strong>\n   &#8211; Resizing EC2 might change cost up or down\n   &#8211; EBS type changes alter ongoing storage cost\n   &#8211; Lambda memory changes alter per-invocation costs\n   &#8211; Operational costs: maintenance windows, testing, potential downtime<\/p>\n<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Free tier<\/h3>\n\n\n\n<p>There isn\u2019t typically a \u201cfree tier\u201d concept for Compute Optimizer itself if it\u2019s already no additional charge; instead, think in terms of:\n&#8211; Whether the service is free\n&#8211; Whether CloudWatch\/S3\/Athena usage stays within any AWS Free Tier quotas (varies by account age and service)<\/p>\n\n\n\n<p>Always validate in:\n&#8211; AWS Free Tier: https:\/\/aws.amazon.com\/free\/\n&#8211; AWS Pricing Calculator: https:\/\/calculator.aws\/<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key cost drivers<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enabling <strong>enhanced metrics<\/strong> broadly without controls (CloudWatch custom metrics\/logs)<\/li>\n<li>Export frequency and size (more resources \u2192 more export data)<\/li>\n<li>Athena query patterns (unoptimized queries scanning lots of data)<\/li>\n<li>Applying recommendations without considering commitment discounts (Savings Plans\/Reserved Instances) and licensing implications<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Hidden\/indirect costs and data transfer<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Exports to S3 stay within a region unless you replicate; cross-region replication or cross-account transfers can add cost.<\/li>\n<li>If you centralize data in one account, consider S3 replication vs exporting directly to a central bucket (architecture-dependent).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">How to optimize cost<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Start with <strong>read-only recommendations<\/strong>; apply changes gradually.<\/li>\n<li>Use enhanced metrics only for:<\/li>\n<li>Workloads known to be memory-bound<\/li>\n<li>High-cost fleets where better accuracy matters<\/li>\n<li>Export recommendations on a cadence that matches your process (weekly\/monthly), not every hour.<\/li>\n<li>If querying exports with Athena:<\/li>\n<li>Keep exports partitioned by date\/account\/region in separate prefixes<\/li>\n<li>Query only needed columns and prefixes<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Example low-cost starter estimate (no fabricated numbers)<\/h3>\n\n\n\n<p>A low-cost way to begin:\n&#8211; Enable Compute Optimizer in one dev account and one region.\n&#8211; Do not enable enhanced metrics initially.\n&#8211; Review recommendations in console.\n&#8211; Export once per month to S3.\nCosts are primarily:\n&#8211; Minimal\/no Compute Optimizer charge (verify)\n&#8211; Small S3 storage and request costs\n&#8211; Optional Athena query cost if you run queries<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Example production cost considerations<\/h3>\n\n\n\n<p>In production, costs are dominated by:\n&#8211; CloudWatch enhanced metrics at scale (if enabled)\n&#8211; Reporting\/analytics infrastructure (S3 + Athena + BI)\n&#8211; Engineering time for safe rollout and validation\n&#8211; Potential duplication of spend if you right-size without considering Savings Plans\/RIs (not a direct charge, but a financial optimization issue)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">10. Step-by-Step Hands-On Tutorial<\/h2>\n\n\n\n<p>This lab walks you through enabling AWS Compute Optimizer, generating a recommendation export, and retrieving recommendations via AWS CLI. It\u2019s designed to be safe and low-cost, but note that recommendations may take time to appear because they require historical metrics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Objective<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enable AWS Compute Optimizer in an AWS account.<\/li>\n<li>Create an S3 bucket for recommendation exports.<\/li>\n<li>Use AWS CLI to:<\/li>\n<li>Check enrollment status<\/li>\n<li>Request an export job<\/li>\n<li>Retrieve EC2 recommendations (if available)<\/li>\n<li>(Optional) Apply a right-sizing change safely to a test EC2 instance.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Lab Overview<\/h3>\n\n\n\n<p>You will:\n1. Choose a supported AWS Region and set up AWS CLI.\n2. Create an S3 bucket for exports.\n3. Enroll (enable) AWS Compute Optimizer.\n4. Launch a small EC2 instance for testing (optional if you already have instances).\n5. Wait for metrics collection, then query recommendations.\n6. Export recommendations to S3.\n7. Validate outputs.\n8. Clean up resources.<\/p>\n\n\n\n<p><strong>Expected time:<\/strong> 30\u201360 minutes hands-on, plus a waiting period (often hours to a day) for recommendations depending on resource type and metric history (verify in docs).<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 1: Choose a Region and set up AWS CLI<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Pick a Region that supports AWS Compute Optimizer (verify region list in docs).<\/li>\n<li>Configure your AWS CLI:<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws configure\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>Set a default region (replace as needed):<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws configure set region us-east-1\n<\/code><\/pre>\n\n\n\n<p><strong>Expected outcome:<\/strong> AWS CLI can call AWS APIs in your chosen region.<\/p>\n\n\n\n<p><strong>Verification:<\/strong><\/p>\n\n\n\n<pre><code class=\"language-bash\">aws sts get-caller-identity\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 2: Create an S3 bucket for Compute Optimizer exports<\/h3>\n\n\n\n<p>Create a uniquely named bucket (S3 bucket names are global). Replace <code>YOUR_BUCKET_NAME<\/code> and region accordingly.<\/p>\n\n\n\n<pre><code class=\"language-bash\">export AWS_REGION=us-east-1\nexport BUCKET_NAME=your-unique-compute-optimizer-export-bucket-12345\n\naws s3api create-bucket \\\n  --bucket \"$BUCKET_NAME\" \\\n  --region \"$AWS_REGION\" \\\n  $( [ \"$AWS_REGION\" != \"us-east-1\" ] &amp;&amp; echo \"--create-bucket-configuration LocationConstraint=$AWS_REGION\" )\n<\/code><\/pre>\n\n\n\n<p>Enable default encryption (recommended):<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws s3api put-bucket-encryption \\\n  --bucket \"$BUCKET_NAME\" \\\n  --server-side-encryption-configuration '{\n    \"Rules\": [{\n      \"ApplyServerSideEncryptionByDefault\": {\"SSEAlgorithm\": \"AES256\"}\n    }]\n  }'\n<\/code><\/pre>\n\n\n\n<p><strong>Expected outcome:<\/strong> An encrypted S3 bucket exists for exports.<\/p>\n\n\n\n<p><strong>Verification:<\/strong><\/p>\n\n\n\n<pre><code class=\"language-bash\">aws s3api get-bucket-location --bucket \"$BUCKET_NAME\"\naws s3 ls \"s3:\/\/$BUCKET_NAME\"\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3: Enroll (enable) AWS Compute Optimizer<\/h3>\n\n\n\n<p>Use the AWS CLI to enable enrollment. The API name may be <code>UpdateEnrollmentStatus<\/code> (as commonly used). If the exact command\/parameters differ in your environment, verify the latest CLI reference.<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer update-enrollment-status --status Active\n<\/code><\/pre>\n\n\n\n<p>Check enrollment status:<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer get-enrollment-status\n<\/code><\/pre>\n\n\n\n<p><strong>Expected outcome:<\/strong> Enrollment status reports as active.<\/p>\n\n\n\n<p><strong>Notes:<\/strong>\n&#8211; When you enroll, AWS may create a <strong>service-linked role<\/strong> for Compute Optimizer.\n&#8211; If you use AWS Organizations, you may need to configure delegated administration for centralized management (verify current org workflow in docs).<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 4 (Optional): Launch a small EC2 instance for testing recommendations<\/h3>\n\n\n\n<p>If you already have EC2 instances, you can skip this step. Otherwise, create a simple test instance.<\/p>\n\n\n\n<p><strong>Important:<\/strong> Creating EC2 resources costs money. Choose a small instance and terminate it in cleanup.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>In the AWS Console, go to <strong>EC2 \u2192 Instances \u2192 Launch instance<\/strong>.<\/li>\n<li>Choose:\n   &#8211; A common Amazon Linux AMI\n   &#8211; A small instance type (e.g., t3.micro\/t4g.micro depending on region and availability)\n   &#8211; Default VPC<\/li>\n<li>Add tags (useful for filtering later):\n   &#8211; <code>Name=ComputeOptimizerLab<\/code>\n   &#8211; <code>Environment=Lab<\/code><\/li>\n<li>Launch with a key pair if you need SSH (optional).<\/li>\n<\/ol>\n\n\n\n<p><strong>Expected outcome:<\/strong> A running EC2 instance that emits CloudWatch metrics.<\/p>\n\n\n\n<p><strong>Verification:<\/strong>\n&#8211; In EC2 console, confirm instance is <strong>Running<\/strong>\n&#8211; In CloudWatch, confirm the instance has metrics (CPUUtilization etc.)<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 5: Wait for sufficient utilization data<\/h3>\n\n\n\n<p>AWS Compute Optimizer needs historical utilization data to generate recommendations. New instances often show <strong>Insufficient data<\/strong> until enough metrics are collected.<\/p>\n\n\n\n<p><strong>What to do while waiting:<\/strong>\n&#8211; Leave the instance running for a day (common) or generate some predictable load.\n&#8211; If your goal is purely to test the workflow, proceed to export anyway; the export may include \u201cinsufficient data\u201d findings.<\/p>\n\n\n\n<p><strong>Expected outcome:<\/strong> After the required window, recommendations become available for eligible resources.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 6: Retrieve EC2 recommendations via AWS CLI<\/h3>\n\n\n\n<p>Fetch EC2 instance recommendations:<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer get-ec2-instance-recommendations \\\n  --max-results 10\n<\/code><\/pre>\n\n\n\n<p>If you want to filter to your test instance, you can pass instance ARNs\/IDs depending on the API shape. If unsure, list recommendations first, then narrow down. (Verify the latest parameters in CLI docs.)<\/p>\n\n\n\n<p><strong>Expected outcome:<\/strong> JSON output with:\n&#8211; findings \/ recommendation options\n&#8211; utilization metrics summaries\n&#8211; suggested instance types<\/p>\n\n\n\n<p><strong>Verification tips:<\/strong>\n&#8211; Look for fields like \u201cfinding\u201d (e.g., optimized \/ not optimized \/ insufficient data)\n&#8211; Check recommended instance type(s)\n&#8211; Review projected utilization if provided<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 7: Create a recommendation export job to S3<\/h3>\n\n\n\n<p>Create an export job to deliver recommendation data to your S3 bucket.<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer create-recommendation-export-job \\\n  --destination-config \"s3DestinationConfig={bucket=$BUCKET_NAME,keyPrefix=compute-optimizer-exports\/}\" \\\n  --file-format Csv\n<\/code><\/pre>\n\n\n\n<p>List export jobs:<\/p>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer describe-recommendation-export-jobs --max-results 5\n<\/code><\/pre>\n\n\n\n<p><strong>Expected outcome:<\/strong> An export job is created, then transitions to a completed status when the export is delivered to S3.<\/p>\n\n\n\n<p><strong>Verification:<\/strong><\/p>\n\n\n\n<pre><code class=\"language-bash\">aws s3 ls \"s3:\/\/$BUCKET_NAME\/compute-optimizer-exports\/\" --recursive\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 8: Download and inspect the export locally<\/h3>\n\n\n\n<p>Once objects exist in S3, copy them down:<\/p>\n\n\n\n<pre><code class=\"language-bash\">mkdir -p compute-optimizer-export\naws s3 cp \"s3:\/\/$BUCKET_NAME\/compute-optimizer-exports\/\" compute-optimizer-export\/ --recursive\nls -lah compute-optimizer-export\/\n<\/code><\/pre>\n\n\n\n<p>Inspect a CSV:<\/p>\n\n\n\n<pre><code class=\"language-bash\">head -n 20 compute-optimizer-export\/*.csv\n<\/code><\/pre>\n\n\n\n<p><strong>Expected outcome:<\/strong> You can see the exported recommendation records, which you can load into spreadsheets or data tools.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Step 9 (Optional): Apply a safe EC2 right-sizing change (test only)<\/h3>\n\n\n\n<p>Only do this for a <strong>non-production<\/strong> instance. Changing EC2 instance type typically requires a stop\/start (downtime) unless using specific mechanisms.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Identify a recommendation you\u2019re comfortable applying.<\/li>\n<li>In EC2 console:\n   &#8211; Stop the instance\n   &#8211; Actions \u2192 Instance settings \u2192 Change instance type\n   &#8211; Select the recommended type\n   &#8211; Start the instance<\/li>\n<\/ol>\n\n\n\n<p><strong>Expected outcome:<\/strong> The instance runs with the new type.<\/p>\n\n\n\n<p><strong>Verification:<\/strong>\n&#8211; Instance type changed in EC2 console\n&#8211; Application still responds (if you deployed one)\n&#8211; CloudWatch metrics look healthy<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Validation<\/h3>\n\n\n\n<p>Use these checks:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Enrollment:<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer get-enrollment-status\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>Recommendations exist (may be \u201cinsufficient data\u201d at first):<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer get-ec2-instance-recommendations --max-results 10\naws compute-optimizer get-ebs-volume-recommendations --max-results 10\naws compute-optimizer get-lambda-function-recommendations --max-results 10\naws compute-optimizer get-auto-scaling-group-recommendations --max-results 10\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>Export exists in S3:<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws s3 ls \"s3:\/\/$BUCKET_NAME\/compute-optimizer-exports\/\" --recursive\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">Troubleshooting<\/h3>\n\n\n\n<p>Common issues and realistic fixes:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\n<p><strong>AccessDenied on Compute Optimizer APIs<\/strong>\n   &#8211; Cause: Missing IAM permissions.\n   &#8211; Fix: Attach the correct IAM policy allowing <code>compute-optimizer:Get*<\/code>, <code>compute-optimizer:Describe*<\/code>, and export actions as needed.<\/p>\n<\/li>\n<li>\n<p><strong>Enrollment status won\u2019t become Active<\/strong>\n   &#8211; Cause: Organizational restrictions (SCP), region not supported, or policy denial.\n   &#8211; Fix: Check AWS Organizations SCPs and confirm the region is supported. Verify in official docs.<\/p>\n<\/li>\n<li>\n<p><strong>Recommendations show \u201cInsufficient data\u201d<\/strong>\n   &#8211; Cause: Not enough metrics history; instance too new; low activity.\n   &#8211; Fix: Wait longer, ensure resource is running and emitting metrics, or enable enhanced metrics where appropriate (be mindful of CloudWatch costs).<\/p>\n<\/li>\n<li>\n<p><strong>Export job created but no files in S3<\/strong>\n   &#8211; Cause: S3 permissions\/bucket policy, KMS policy (if using SSE-KMS), wrong prefix, or export still processing.\n   &#8211; Fix: Confirm bucket policy allows <code>s3:PutObject<\/code> from your principal; verify job status with <code>describe-recommendation-export-jobs<\/code>.<\/p>\n<\/li>\n<li>\n<p><strong>S3 bucket creation fails in us-east-1<\/strong>\n   &#8211; Cause: <code>create-bucket-configuration<\/code> not allowed for <code>us-east-1<\/code>.\n   &#8211; Fix: Use the conditional logic shown in Step 2.<\/p>\n<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Cleanup<\/h3>\n\n\n\n<p>To avoid ongoing costs:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\n<p><strong>Terminate the EC2 instance<\/strong> (if created)\n   &#8211; EC2 console \u2192 Instances \u2192 select \u2192 Terminate<\/p>\n<\/li>\n<li>\n<p><strong>Delete exported objects and S3 bucket<\/strong><\/p>\n<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws s3 rm \"s3:\/\/$BUCKET_NAME\" --recursive\naws s3api delete-bucket --bucket \"$BUCKET_NAME\" --region \"$AWS_REGION\"\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li><strong>Optional: Disable Compute Optimizer enrollment<\/strong>\nIf you enabled it only for a lab:<\/li>\n<\/ol>\n\n\n\n<pre><code class=\"language-bash\">aws compute-optimizer update-enrollment-status --status Inactive\n<\/code><\/pre>\n\n\n\n<p>(Verify if the status value is <code>Inactive<\/code> in your region\/account using official CLI reference.)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">11. Best Practices<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Architecture best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Treat recommendations as signals, not commands.<\/strong> Apply changes through your standard change management process.<\/li>\n<li><strong>Segment by environment<\/strong>: production vs dev\/test will have different risk tolerance and optimization thresholds.<\/li>\n<li><strong>Use multi-account governance<\/strong> with AWS Organizations where appropriate; centralize reporting with exports.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">IAM\/security best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use <strong>least privilege<\/strong>: separate roles for:<\/li>\n<li>Viewing recommendations<\/li>\n<li>Exporting recommendations<\/li>\n<li>Applying resizing changes (EC2\/EBS\/Lambda permissions)<\/li>\n<li>Restrict exports:<\/li>\n<li>Only to approved S3 buckets<\/li>\n<li>Enforce encryption (SSE-S3 or SSE-KMS) and bucket policies<\/li>\n<li>Use <strong>SCPs<\/strong> carefully to avoid blocking needed read-only telemetry access.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Cost best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Start with <strong>big wins<\/strong>: focus on top-cost accounts\/services first.<\/li>\n<li>Be cautious with <strong>enhanced metrics<\/strong> at scale; pilot before broad rollout.<\/li>\n<li>Use exports + Athena to track:<\/li>\n<li>Potential savings<\/li>\n<li>Recommendations applied<\/li>\n<li>Time-to-remediate<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Performance best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Validate changes with:<\/li>\n<li>Load testing (where feasible)<\/li>\n<li>Canary deployments<\/li>\n<li>SLO monitoring (latency, errors)<\/li>\n<li>Don\u2019t downsize below safe thresholds for:<\/li>\n<li>Memory-bound workloads<\/li>\n<li>High network throughput requirements<\/li>\n<li>Storage IOPS\/throughput requirements<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Reliability best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Roll out rightsizing changes in phases:<\/li>\n<li>5\u201310% of fleet \u2192 validate \u2192 expand<\/li>\n<li>Ensure you can roll back quickly:<\/li>\n<li>Keep prior instance type documented<\/li>\n<li>Use infrastructure as code so changes are reversible<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Operations best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Establish a cadence:<\/li>\n<li>Weekly review for fast-changing workloads<\/li>\n<li>Monthly for stable platforms<\/li>\n<li>Integrate with ticketing:<\/li>\n<li>Create issues for top recommendations<\/li>\n<li>Track acceptance\/rejection and reasons<\/li>\n<li>Use tagging standards to route ownership:<\/li>\n<li><code>Owner<\/code>, <code>Team<\/code>, <code>Service<\/code>, <code>Environment<\/code>, <code>CostCenter<\/code><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Governance\/tagging\/naming best practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Adopt consistent tagging to make filtering actionable.<\/li>\n<li>Maintain a \u201cpolicy\u201d for:<\/li>\n<li>Which instance families are allowed<\/li>\n<li>Which EBS volume types are allowed<\/li>\n<li>When to apply recommendations automatically (if ever)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">12. Security Considerations<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Identity and access model<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AWS Compute Optimizer is accessed through <strong>IAM-authenticated<\/strong> console\/API\/CLI calls.<\/li>\n<li>Use:<\/li>\n<li>IAM roles with least privilege<\/li>\n<li>Permission boundaries where required<\/li>\n<li>MFA for privileged roles<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Encryption<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recommendations data in the console is managed by AWS.<\/li>\n<li>For exports:<\/li>\n<li>Enforce <strong>S3 bucket encryption<\/strong><\/li>\n<li>If using SSE-KMS, ensure KMS key policy allows the exporting principal to encrypt objects<\/li>\n<li>Consider bucket policies requiring <code>s3:x-amz-server-side-encryption<\/code><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Network exposure<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>No inbound network exposure is required for the service.<\/li>\n<li>For EC2 enhanced metrics:<\/li>\n<li>CloudWatch Agent requires outbound connectivity to AWS endpoints; consider VPC endpoints if your security posture restricts internet egress.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Secrets handling<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Don\u2019t store secrets in scripts that run export jobs.<\/li>\n<li>Use IAM roles (instance profiles, AWS SSO roles, or CI\/CD roles) instead of long-lived access keys.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Audit\/logging<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use <strong>AWS CloudTrail<\/strong> to audit:<\/li>\n<li>Enrollment status changes<\/li>\n<li>Export job creation<\/li>\n<li>Changes applied to EC2\/EBS\/Lambda (these changes are made via their service APIs, not \u201cby\u201d Compute Optimizer)<\/li>\n<li>Centralize logs in a logging account if you have multi-account governance.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Compliance considerations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Export files may contain:<\/li>\n<li>Resource ARNs\/IDs<\/li>\n<li>Configuration details<\/li>\n<li>Potentially tag-derived context (depending on what\u2019s exported)<\/li>\n<li>Treat exports as operational data; apply your data classification and retention policies.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Common security mistakes<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overly broad permissions like <code>compute-optimizer:*<\/code> to all users<\/li>\n<li>Exporting to an S3 bucket with public access or weak bucket policy<\/li>\n<li>Allowing uncontrolled \u201cauto-apply\u201d scripts without approvals<\/li>\n<li>Ignoring SCP effects and then troubleshooting by granting excessive privileges<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Secure deployment recommendations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use separate roles for read-only vs change execution.<\/li>\n<li>Require encryption and block public access on S3 export buckets.<\/li>\n<li>Use CloudTrail + guardrails to detect unauthorized resizing actions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">13. Limitations and Gotchas<\/h2>\n\n\n\n<p>Because AWS Compute Optimizer is advisory and metrics-driven, expect these practical constraints:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Time-to-recommendation:<\/strong> New resources can show <strong>insufficient data<\/strong> until enough metrics are collected (verify required windows per resource type).<\/li>\n<li><strong>Metric quality matters:<\/strong> CPU-only views can mislead; memory-bound services benefit from enhanced metrics (but that can add cost).<\/li>\n<li><strong>Not all workloads fit historical analysis:<\/strong> Highly unpredictable demand can reduce recommendation usefulness.<\/li>\n<li><strong>No automatic remediation by default:<\/strong> You must apply changes (or build automation carefully).<\/li>\n<li><strong>Region coverage varies:<\/strong> Not all regions may be supported.<\/li>\n<li><strong>Multi-account governance requires planning:<\/strong> Organizations\/SCPs\/bucket policies can block exports or visibility.<\/li>\n<li><strong>EBS recommendations must respect application requirements:<\/strong> Storage performance and durability requirements are workload-specific.<\/li>\n<li><strong>Commitment discounts and licensing:<\/strong> Rightsizing can interact with Savings Plans\/Reserved Instances and license models. Compute Optimizer recommendations don\u2019t automatically account for every commercial constraint\u2014validate with FinOps and licensing stakeholders.<\/li>\n<li><strong>Operational downtime risk:<\/strong> Some changes (like EC2 instance type changes) commonly require stop\/start.<\/li>\n<li><strong>Export analytics pitfalls:<\/strong> Athena costs can surprise if you scan large datasets repeatedly.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">14. Comparison with Alternatives<\/h2>\n\n\n\n<p>AWS Compute Optimizer is specialized for rightsizing compute-related resources. You may still use other tools depending on your goals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Comparison table<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Option<\/th>\n<th>Best For<\/th>\n<th>Strengths<\/th>\n<th>Weaknesses<\/th>\n<th>When to Choose<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>AWS Compute Optimizer<\/strong><\/td>\n<td>Rightsizing EC2\/ASG\/EBS\/Lambda (supported resources)<\/td>\n<td>Native AWS integration, actionable recommendations, exports for governance<\/td>\n<td>Advisory only; depends on metric history; scope limited to supported resources<\/td>\n<td>You need continuous rightsizing recommendations in AWS<\/td>\n<\/tr>\n<tr>\n<td><strong>AWS Trusted Advisor<\/strong><\/td>\n<td>Broad best-practice checks (cost, security, fault tolerance, etc.)<\/td>\n<td>Wide coverage, quick checks, governance-friendly<\/td>\n<td>Less specialized for deep compute rightsizing<\/td>\n<td>You want a broad governance dashboard alongside optimization signals<\/td>\n<\/tr>\n<tr>\n<td><strong>AWS Cost Explorer (Rightsizing\/Recommendations features)<\/strong><\/td>\n<td>Billing-oriented optimization tracking<\/td>\n<td>Cost-centric views; ties to spend<\/td>\n<td>May not provide the same depth of utilization-driven sizing guidance as Compute Optimizer<\/td>\n<td>You need cost reporting tightly coupled to billing and chargeback<\/td>\n<\/tr>\n<tr>\n<td><strong>EC2 Auto Scaling (policies, predictive scaling)<\/strong><\/td>\n<td>Automatically adjust capacity to demand<\/td>\n<td>Directly manages scaling behavior<\/td>\n<td>Doesn\u2019t \u201cright-size\u201d instance types by itself; scaling \u2260 sizing<\/td>\n<td>You need elasticity; combine with Compute Optimizer for sizing<\/td>\n<\/tr>\n<tr>\n<td><strong>Open-source: Prometheus + Grafana + custom scripts<\/strong><\/td>\n<td>Custom optimization logic<\/td>\n<td>Highly flexible; works across environments<\/td>\n<td>Engineering heavy; risk of mistakes; no managed recommendations<\/td>\n<td>You have unique constraints and strong internal platform maturity<\/td>\n<\/tr>\n<tr>\n<td><strong>Third-party FinOps platforms (e.g., VMware Aria Cost\/CloudHealth, Spot by NetApp)<\/strong><\/td>\n<td>Multi-cloud cost optimization and governance<\/td>\n<td>Cross-cloud visibility, advanced automation<\/td>\n<td>Extra cost; vendor lock-in; integration effort<\/td>\n<td>You manage multi-cloud or want advanced automation beyond AWS-native tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Azure Advisor<\/strong><\/td>\n<td>Azure optimization recommendations<\/td>\n<td>Native Azure advisor<\/td>\n<td>Not applicable to AWS<\/td>\n<td>Choose if you\u2019re optimizing Azure workloads<\/td>\n<\/tr>\n<tr>\n<td><strong>Google Cloud Recommender<\/strong><\/td>\n<td>GCP optimization recommendations<\/td>\n<td>Native GCP recommender<\/td>\n<td>Not applicable to AWS<\/td>\n<td>Choose if you\u2019re optimizing GCP workloads<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">15. Real-World Example<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Enterprise example (regulated industry, multi-account)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> A financial services company runs 200+ AWS accounts with thousands of EC2 instances and strict change control. Costs increased after multiple product launches, and teams struggle to prioritize optimization safely.<\/li>\n<li><strong>Proposed architecture:<\/strong><\/li>\n<li>Enable AWS Compute Optimizer across accounts (with an AWS Organizations governance model; verify current delegated admin approach).<\/li>\n<li>Export recommendations weekly into a centralized S3 bucket in a shared services account.<\/li>\n<li>Query exports with Athena; publish dashboards for FinOps and engineering leadership.<\/li>\n<li>Create tickets for top savings opportunities; apply changes in maintenance windows with canary rollouts.<\/li>\n<li><strong>Why AWS Compute Optimizer was chosen:<\/strong><\/li>\n<li>Native AWS integration, consistent recommendations across teams.<\/li>\n<li>Evidence-based decision support for approvals.<\/li>\n<li>Export workflow supports audit trails and reporting.<\/li>\n<li><strong>Expected outcomes:<\/strong><\/li>\n<li>Reduction in over-provisioned EC2 footprint.<\/li>\n<li>Faster identification of mis-sized EBS volumes.<\/li>\n<li>Measurable optimization backlog and realized savings tracking.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Startup\/small-team example (single account, fast iteration)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> A startup\u2019s AWS bill doubled over three months. Services were sized quickly during growth, and no one has time to perform manual rightsizing.<\/li>\n<li><strong>Proposed architecture:<\/strong><\/li>\n<li>Enable AWS Compute Optimizer in the production account.<\/li>\n<li>Review recommendations biweekly in the console.<\/li>\n<li>Apply safe changes first (low-risk, non-critical services), then expand.<\/li>\n<li>Export monthly to S3 for lightweight reporting.<\/li>\n<li><strong>Why AWS Compute Optimizer was chosen:<\/strong><\/li>\n<li>Low operational overhead.<\/li>\n<li>Quick path to actionable recommendations without buying new tools.<\/li>\n<li><strong>Expected outcomes:<\/strong><\/li>\n<li>Reduced baseline infrastructure cost.<\/li>\n<li>Better instance sizing discipline as part of engineering routines.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">16. FAQ<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1) Is AWS Compute Optimizer a cost management tool or a performance tool?<\/h3>\n\n\n\n<p>Both. It focuses on <strong>rightsizing<\/strong> to reduce waste and\/or improve performance based on utilization signals. It\u2019s commonly used in FinOps, but it\u2019s also valuable for performance and reliability reviews.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2) Does AWS Compute Optimizer automatically resize my resources?<\/h3>\n\n\n\n<p>No. It provides recommendations. You apply changes manually or via your own automation (recommended only with strong guardrails).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3) What AWS services does Compute Optimizer analyze?<\/h3>\n\n\n\n<p>Commonly: <strong>EC2 instances, Auto Scaling groups, EBS volumes, and Lambda functions<\/strong>. AWS expands scope over time, so verify current coverage in the docs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4) How long until recommendations appear?<\/h3>\n\n\n\n<p>It depends on the resource type and how much metric history is required. New resources often show <strong>insufficient data<\/strong> initially. Verify exact time windows in official docs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5) Where does Compute Optimizer get its data?<\/h3>\n\n\n\n<p>Primarily from <strong>Amazon CloudWatch<\/strong> metrics and resource configuration metadata.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6) Do I need to install an agent on EC2 instances?<\/h3>\n\n\n\n<p>Not for basic recommendations. For <strong>enhanced infrastructure metrics<\/strong> (such as memory), you may need CloudWatch Agent and additional configuration (and it can add CloudWatch costs).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">7) Is AWS Compute Optimizer free?<\/h3>\n\n\n\n<p>The service is generally described as <strong>no additional charge<\/strong>, but you may pay for related services like CloudWatch custom metrics, S3 exports, and Athena queries. Verify the latest official statement.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">8) Can I use Compute Optimizer across multiple AWS accounts?<\/h3>\n\n\n\n<p>Yes, typically via AWS Organizations governance patterns (central management\/delegated admin). Verify the current recommended setup in official docs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">9) Can I export recommendations for dashboards?<\/h3>\n\n\n\n<p>Yes. You can export recommendation data to <strong>Amazon S3<\/strong> and analyze it using Athena\/BI tools.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">10) How do I measure realized savings after applying recommendations?<\/h3>\n\n\n\n<p>Use:\n&#8211; AWS billing reports and <strong>Cost Explorer<\/strong>\n&#8211; Tagging to attribute changes\n&#8211; Before\/after comparisons on instance\/volume\/Lambda cost and utilization<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">11) Should I apply every recommendation?<\/h3>\n\n\n\n<p>No. Consider:\n&#8211; Performance and reliability risk\n&#8211; Growth plans and seasonality\n&#8211; Architecture constraints\n&#8211; Licensing and compliance requirements\n&#8211; Maintenance windows and rollback plans<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">12) Will rightsizing affect my Reserved Instances or Savings Plans?<\/h3>\n\n\n\n<p>It can. Rightsizing may change your usage patterns. Coordinate changes with FinOps to avoid reducing commitment utilization efficiency.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">13) Does Compute Optimizer work for spiky workloads?<\/h3>\n\n\n\n<p>It can, but treat results carefully. Historical averages may not reflect future peaks. Use percentile-based thinking and load testing where appropriate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">14) How do I prevent recommendations that violate standards?<\/h3>\n\n\n\n<p>Use <strong>recommendation preferences<\/strong> (where available) and enforce platform standards via policy and review. Also use SCPs and IAM to prevent unapproved resource types if needed.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">15) What\u2019s the difference between Compute Optimizer and Trusted Advisor?<\/h3>\n\n\n\n<p>Trusted Advisor provides broad best-practice checks across categories (cost, security, fault tolerance, etc.). Compute Optimizer focuses specifically on <strong>rightsizing compute-related resources<\/strong> with deeper utilization-driven analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">16) Can I integrate recommendations into Jira\/ServiceNow\/Slack?<\/h3>\n\n\n\n<p>Yes, via custom automation:\n&#8211; Use the API\/CLI to fetch recommendations\n&#8211; Export to S3 and query via Athena\n&#8211; Push high-priority items into your ticketing\/alerting tools<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">17) Do recommendations include downtime requirements?<\/h3>\n\n\n\n<p>Compute Optimizer provides sizing guidance; operational requirements depend on the resource and change type. For example, changing EC2 instance type often requires stop\/start.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">17. Top Online Resources to Learn AWS Compute Optimizer<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Resource Type<\/th>\n<th>Name<\/th>\n<th>Why It Is Useful<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Official Documentation<\/td>\n<td>AWS Compute Optimizer User Guide<\/td>\n<td>Authoritative definitions, setup steps, APIs, and concepts. https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/<\/td>\n<\/tr>\n<tr>\n<td>Official Product Page<\/td>\n<td>AWS Compute Optimizer<\/td>\n<td>Overview, positioning, and current feature highlights. https:\/\/aws.amazon.com\/compute-optimizer\/<\/td>\n<\/tr>\n<tr>\n<td>Official API Reference<\/td>\n<td>Compute Optimizer API Reference<\/td>\n<td>Exact API actions, parameters, and responses for automation. Verify latest from AWS docs portal.<\/td>\n<\/tr>\n<tr>\n<td>Official CLI Reference<\/td>\n<td>AWS CLI <code>compute-optimizer<\/code> commands<\/td>\n<td>Practical command syntax for scripting exports and retrieval. https:\/\/docs.aws.amazon.com\/cli\/latest\/reference\/compute-optimizer\/<\/td>\n<\/tr>\n<tr>\n<td>Region Availability<\/td>\n<td>Compute Optimizer supported Regions<\/td>\n<td>Confirm supported Regions before rollout. https:\/\/docs.aws.amazon.com\/compute-optimizer\/latest\/ug\/regions.html (verify)<\/td>\n<\/tr>\n<tr>\n<td>Pricing Guidance<\/td>\n<td>AWS Pricing Calculator<\/td>\n<td>Model downstream costs (CloudWatch\/S3\/Athena), not Compute Optimizer itself. https:\/\/calculator.aws\/<\/td>\n<\/tr>\n<tr>\n<td>Governance<\/td>\n<td>AWS Organizations Documentation<\/td>\n<td>Multi-account patterns for centralized governance. https:\/\/docs.aws.amazon.com\/organizations\/latest\/userguide\/orgs_introduction.html<\/td>\n<\/tr>\n<tr>\n<td>Metrics<\/td>\n<td>Amazon CloudWatch Documentation<\/td>\n<td>Understand metrics sources and costs (basic vs custom metrics). https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/monitoring\/WhatIsCloudWatch.html<\/td>\n<\/tr>\n<tr>\n<td>Storage\/Exports<\/td>\n<td>Amazon S3 Documentation<\/td>\n<td>Secure bucket policies and encryption for exports. https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/Welcome.html<\/td>\n<\/tr>\n<tr>\n<td>Analytics<\/td>\n<td>Amazon Athena Documentation<\/td>\n<td>Query exported recommendation datasets efficiently. https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/what-is.html<\/td>\n<\/tr>\n<tr>\n<td>Videos (Official)<\/td>\n<td>AWS YouTube Channel<\/td>\n<td>Search for \u201cAWS Compute Optimizer\u201d sessions and demos (verify newest videos). https:\/\/www.youtube.com\/@amazonwebservices<\/td>\n<\/tr>\n<tr>\n<td>Architecture Center<\/td>\n<td>AWS Architecture Center<\/td>\n<td>Patterns for multi-account governance and cost management. https:\/\/aws.amazon.com\/architecture\/<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">18. Training and Certification Providers<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Institute<\/th>\n<th>Suitable Audience<\/th>\n<th>Likely Learning Focus<\/th>\n<th>Mode<\/th>\n<th>Website URL<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>DevOpsSchool.com<\/td>\n<td>Beginners to senior engineers<\/td>\n<td>DevOps, AWS operations, governance and optimization practices<\/td>\n<td>Check website<\/td>\n<td>https:\/\/www.devopsschool.com\/<\/td>\n<\/tr>\n<tr>\n<td>ScmGalaxy.com<\/td>\n<td>Students and working professionals<\/td>\n<td>DevOps\/SCM, automation, cloud fundamentals<\/td>\n<td>Check website<\/td>\n<td>https:\/\/www.scmgalaxy.com\/<\/td>\n<\/tr>\n<tr>\n<td>CLoudOpsNow.in<\/td>\n<td>Cloud engineers and ops teams<\/td>\n<td>Cloud operations, monitoring, governance<\/td>\n<td>Check website<\/td>\n<td>https:\/\/www.cloudopsnow.in\/<\/td>\n<\/tr>\n<tr>\n<td>SreSchool.com<\/td>\n<td>SREs and reliability-focused engineers<\/td>\n<td>SRE practices, observability, operations<\/td>\n<td>Check website<\/td>\n<td>https:\/\/www.sreschool.com\/<\/td>\n<\/tr>\n<tr>\n<td>AiOpsSchool.com<\/td>\n<td>Ops teams exploring AIOps<\/td>\n<td>AIOps concepts, automation, operational analytics<\/td>\n<td>Check website<\/td>\n<td>https:\/\/www.aiopsschool.com\/<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">19. Top Trainers<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Platform\/Site<\/th>\n<th>Likely Specialization<\/th>\n<th>Suitable Audience<\/th>\n<th>Website URL<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>RajeshKumar.xyz<\/td>\n<td>DevOps\/cloud training content (verify current offerings)<\/td>\n<td>Students and practitioners<\/td>\n<td>https:\/\/rajeshkumar.xyz\/<\/td>\n<\/tr>\n<tr>\n<td>devopstrainer.in<\/td>\n<td>DevOps and cloud operations training<\/td>\n<td>Beginners to intermediate engineers<\/td>\n<td>https:\/\/www.devopstrainer.in\/<\/td>\n<\/tr>\n<tr>\n<td>devopsfreelancer.com<\/td>\n<td>Freelance DevOps help and training resources (verify)<\/td>\n<td>Teams needing practical guidance<\/td>\n<td>https:\/\/www.devopsfreelancer.com\/<\/td>\n<\/tr>\n<tr>\n<td>devopssupport.in<\/td>\n<td>DevOps support and learning resources (verify)<\/td>\n<td>Ops\/DevOps teams<\/td>\n<td>https:\/\/www.devopssupport.in\/<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">20. Top Consulting Companies<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Company<\/th>\n<th>Likely Service Area<\/th>\n<th>Where They May Help<\/th>\n<th>Consulting Use Case Examples<\/th>\n<th>Website URL<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>cotocus.com<\/td>\n<td>Cloud\/DevOps consulting (verify service catalog)<\/td>\n<td>Cloud operations, governance, optimization programs<\/td>\n<td>Setting up multi-account exports; dashboards; optimization cadence<\/td>\n<td>https:\/\/www.cotocus.com\/<\/td>\n<\/tr>\n<tr>\n<td>DevOpsSchool.com<\/td>\n<td>DevOps consulting and training (verify)<\/td>\n<td>DevOps transformation, cloud governance, cost optimization practices<\/td>\n<td>Building rightsizing processes; CI\/CD + governance integration<\/td>\n<td>https:\/\/www.devopsschool.com\/<\/td>\n<\/tr>\n<tr>\n<td>DEVOPSCONSULTING.IN<\/td>\n<td>DevOps consulting (verify service catalog)<\/td>\n<td>DevOps tooling, automation, cloud operations<\/td>\n<td>Automating recommendation exports; building ticket workflows<\/td>\n<td>https:\/\/www.devopsconsulting.in\/<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">21. Career and Learning Roadmap<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What to learn before AWS Compute Optimizer<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AWS fundamentals: IAM, Regions, VPC basics<\/li>\n<li>Core compute services:<\/li>\n<li>Amazon EC2 and EBS fundamentals (instance families, EBS types)<\/li>\n<li>EC2 Auto Scaling concepts<\/li>\n<li>AWS Lambda basics (memory vs duration cost model)<\/li>\n<li>Observability basics:<\/li>\n<li>CloudWatch metrics, alarms, logs<\/li>\n<li>Cost basics:<\/li>\n<li>AWS billing concepts, tagging, cost allocation<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">What to learn after AWS Compute Optimizer<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>FinOps operationalization:<\/li>\n<li>Cost allocation, unit economics, showback\/chargeback<\/li>\n<li>Savings Plans\/Reserved Instances strategy (separate but related)<\/li>\n<li>Automation:<\/li>\n<li>Export pipelines to S3 + Athena + dashboards<\/li>\n<li>Ticketing integration and governance workflows<\/li>\n<li>Reliability engineering:<\/li>\n<li>Canary rollouts, SLOs, regression monitoring<\/li>\n<li>Infrastructure as Code:<\/li>\n<li>Terraform\/CloudFormation\/CDK for safe, reviewable changes<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Job roles that use it<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Cloud Engineer \/ Cloud Operations Engineer<\/li>\n<li>DevOps Engineer<\/li>\n<li>Site Reliability Engineer (SRE)<\/li>\n<li>Platform Engineer<\/li>\n<li>Solutions Architect<\/li>\n<li>FinOps Analyst \/ FinOps Engineer<\/li>\n<li>Cloud Security Engineer (governance and guardrails)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Certification path (AWS)<\/h3>\n\n\n\n<p>AWS certifications don\u2019t focus on Compute Optimizer exclusively, but it aligns well with:\n&#8211; AWS Certified Cloud Practitioner (foundations)\n&#8211; AWS Certified Solutions Architect \u2013 Associate\/Professional\n&#8211; AWS Certified SysOps Administrator \u2013 Associate\n&#8211; AWS Certified DevOps Engineer \u2013 Professional\n&#8211; AWS Certified Security \u2013 Specialty (governance and audit aspects)<\/p>\n\n\n\n<p>(Verify current certification names and availability on: https:\/\/aws.amazon.com\/certification\/)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Project ideas for practice<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Build a weekly export pipeline and Athena dashboard of top recommendations by team and environment.<\/li>\n<li>Create a \u201crightsizing backlog\u201d process: export \u2192 rank \u2192 ticket \u2192 apply \u2192 validate \u2192 measure savings.<\/li>\n<li>Implement a safe canary workflow for EC2 instance type changes and measure performance impact.<\/li>\n<li>Evaluate CloudWatch Agent enhanced metrics for a memory-bound workload and compare recommendation differences.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">22. Glossary<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AWS Compute Optimizer<\/strong>: AWS service that analyzes utilization and provides rightsizing recommendations for supported compute resources.<\/li>\n<li><strong>Rightsizing<\/strong>: Adjusting resource size\/type to match actual demand (reduce waste or avoid under-provisioning).<\/li>\n<li><strong>Finding<\/strong>: A classification indicating whether a resource is optimized or may need changes (exact labels vary by resource type).<\/li>\n<li><strong>Recommendation<\/strong>: Suggested configuration change (e.g., different EC2 instance type).<\/li>\n<li><strong>CloudWatch Metrics<\/strong>: Time-series measurements (CPUUtilization, network, disk, etc.) used for monitoring and analysis.<\/li>\n<li><strong>Enhanced infrastructure metrics<\/strong>: Additional OS-level metrics (often collected via CloudWatch Agent) that can improve recommendation accuracy.<\/li>\n<li><strong>Service-linked role<\/strong>: An IAM role linked to an AWS service that allows it to perform actions on your behalf.<\/li>\n<li><strong>Export job<\/strong>: A request to write recommendation data into an S3 bucket.<\/li>\n<li><strong>S3 bucket policy<\/strong>: Access control policy attached to an S3 bucket.<\/li>\n<li><strong>Athena<\/strong>: Serverless query service for data in S3 using SQL.<\/li>\n<li><strong>FinOps<\/strong>: Cloud financial operations discipline combining finance, engineering, and business to manage cloud spend.<\/li>\n<li><strong>Canary rollout<\/strong>: Gradual deployment strategy applying changes to a small subset first, then expanding.<\/li>\n<li><strong>SLO (Service Level Objective)<\/strong>: Target reliability\/performance objective (latency, availability, error rate).<\/li>\n<li><strong>SCP (Service Control Policy)<\/strong>: Organization-level policy that sets permission guardrails across accounts.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">23. Summary<\/h2>\n\n\n\n<p>AWS Compute Optimizer is an AWS <strong>Management and governance<\/strong> service that delivers <strong>rightsizing recommendations<\/strong> for supported resources such as <strong>EC2 instances, Auto Scaling groups, EBS volumes, and Lambda functions<\/strong> (verify current coverage). It helps teams reduce waste, improve performance, and build an ongoing optimization practice using utilization-based evidence and exportable recommendation data.<\/p>\n\n\n\n<p>It fits best as a continuous signal in your operations toolkit: enable it, review recommendations on a cadence, export data for reporting, and apply changes through controlled rollouts. Cost-wise, the service itself is typically <strong>no additional charge<\/strong> (verify), but you should plan for related costs like CloudWatch enhanced metrics, S3 exports, and Athena queries. Security-wise, use least-privilege IAM, encrypted export buckets, and CloudTrail auditing for governance.<\/p>\n\n\n\n<p>Use AWS Compute Optimizer when you want a practical, AWS-native way to identify and prioritize rightsizing opportunities. Next, deepen your skills by automating exports to S3, building Athena-based dashboards, and integrating recommendations into your change management workflow.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Management and governance<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,33],"tags":[],"class_list":["post-258","post","type-post","status-publish","format-standard","hentry","category-aws","category-management-and-governance"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/posts\/258","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/comments?post=258"}],"version-history":[{"count":0,"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/posts\/258\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/media?parent=258"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/categories?post=258"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/tutorials\/wp-json\/wp\/v2\/tags?post=258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}