Datadog Advanced Training
Trace services end to end, manage logs at scale, add synthetic, RUM and security monitoring, and automate Datadog through its API. Learn Datadog through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Datadog levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Datadog Advanced Training.
Understand where Datadog fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Datadog is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Datadog program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Datadog training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Datadog training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Datadog usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Datadog Advanced Training | Private team batch |
What learners should be able to do after Datadog training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Deploy and operate the Agent
Install and run the Datadog Agent across hosts, Docker and Kubernetes with integrations and consistent tags.
Visualise and alert
Build dashboards, notebooks, monitors and SLOs that turn metrics and events into actionable alerts.
Troubleshoot across signals
Correlate APM traces, logs, synthetics, RUM and network data to find the cause of production issues.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Datadog responsibilities before reviewing the detailed agenda.
Why Datadog matters
- Datadog helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Datadog becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Datadog effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Datadog concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Datadog in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Datadog for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Datadog usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Datadog.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: Datadog platform, Agent install and taggingDay 1
- About Datadog: what is Datadog, a SaaS observability platform for metrics, traces, logs, synthetics and security signals
- Datadog architecture: Agent, intake endpoints, Datadog sites (US1, US3, US5, EU1, AP1, US1-FED) and the web application
- Account setup: sign up, choose a site, create an organization and find the API key the Agent needs
- Getting started tour: Integrations, Infrastructure, Host Map, Events and Dashboards in the navigation
- Agent installation: one-line install on Linux, Windows MSI, datadog.yaml location and the datadog-agent service
- Agent commands: datadog-agent status, check, configcheck, restarting the service and reading agent.log
- First integration: enable a core check, the conf.d directory layout and confirming metrics arrive
- Host Map basics: fill hosts by CPU or load, group by tag and filter by environment
- Datadog Tagging: key:value format, reserved tags host, env, service, version and unified service tagging
- Assigning Tags: tags in datadog.yaml, integration configs, cloud provider tags, UI and API
- Using Tags: filter and group by tags in the Host Map, dashboards, monitors and search queries
- First dashboard: out-of-the-box host dashboards, cloning one and adding a timeseries widget
Essential Level = Foundation + Agent deployment, integrations, Watchdog and eventsDay 2 · 2 days cumulative
- Datadog Agent Usage: Agent v7 collector, forwarder, DogStatsD server, checks, flare and the Agent GUI
- Datadog Agent Docker: run the containerized Agent, docker.sock mount, container labels and DD_ environment variables
- Datadog Agent Kubernetes: Helm chart and Datadog Operator, node Agent DaemonSet, kubelet and kube-state-metrics
- Datadog Agent Cluster Agent: cluster checks, external metrics for the HPA and reduced API server load
- Datadog Agent Autodiscovery: pod annotations and container labels, %%host%% and %%port%% variables for checks
- Datadog Agent Log Collection: logs_enabled, file tailing, container logs and log processing rules
- Agent operations: Agent proxy settings, Agent versions and upgrades, troubleshooting with status and flare, Agent guides
- Datadog Agent Security: secrets management with secret_backend_command, file permissions and the dd-agent user
- Web and app server integrations: Apache, Nginx and Tomcat (JMX) status endpoints and configuration
- Database and cache integrations: MySQL user grants and metrics, Redis connection and keyspace metrics
- Cloud integrations: Amazon Web Services (AWS) IAM role and CloudWatch, Azure app registration, Google Cloud service account
- Platform and language integrations: GitHub, Docker, Kubernetes, Java, PHP and .NET (DOTNET) runtime metrics
- Datadog Watchdog: overview, automatic anomaly detection on APM metrics and infrastructure metrics from integrations
- Datadog Events: event stream, aggregation of related events and notifications from events
Intermediate Level = Essential + Graphing, dashboards, metrics, notebooks and alertingDay 3 · 3 days cumulative
- Datadog Graphing: dashboards, metrics, notebooks, event stream and infrastructure views, from the query to the graph
- Graphing JSON: widget JSON definitions, editing requests directly and graphing with JSON across dashboards
- Datadog Dashboard layouts: Screenboards and Timeboards, today's free-form and ordered (grid) layouts
- Widgets: timeseries, query value, top list, heat map, host map, SLO and group widgets
- Querying and Functions: space and time aggregation, rollup, arithmetic, timeshift, anomalies, outliers and forecast
- Correlations and dashboard variables: correlate metrics across services, $env and $service variables, saved views
- Sharing: shared dashboard URLs, embeddable graphs, dashboard permissions and exporting dashboard JSON
- Datadog Infrastructure: Infrastructure List, Host Map and Container Map with tag-based grouping
- Live Processes, Live Containers and Serverless: process collection, container views and AWS Lambda functions
- Datadog Metrics: metrics introduction, count, rate, gauge and histogram types, Metrics Explorer and Metrics Summary
- Metrics Distributions: p50 to p99 percentiles, global aggregation and Metrics without Limits tag configuration
- Datadog Notebooks: overview, Notebook List, New Notebook and combining graphs with text for investigations
- Datadog Alerting: metric, anomaly, process and log monitors, Manage Monitors, Monitor Status and Check Summary
- Notifications, Downtimes and SLOs: @-mention routing, scheduled downtimes, Service Level Objectives and alerting guides
Advanced Level = Intermediate + APM, logs, synthetics, security, RUM and APIDays 4-5 · 5 days cumulative
- Datadog APM & Distributed Tracing: enable trace collection, instrument your application with dd-trace, APM glossary and guides
- APM deep dive: App Analytics, runtime metrics, profiling, manual instrumentation, OpenTracing, connect logs and traces, troubleshooting
- Datadog Log Management: log collection and integrations, processing pipelines, Live Tail and the Log Explorer
- Log indexes and archives: generate metrics, indexes and exclusion filters, archives, correlate logs with metrics, log security
- Datadog Synthetics: API tests, browser tests, private locations, APM integration and identifying Synthetics bots
- Synthetics settings: global variables, default locations, CI/CD runs, Synthetics guide and troubleshooting failed tests
- Datadog Security Monitoring: getting started with Cloud SIEM, Signals Explorer and detection rules
- Datadog Real User Monitoring: get started with the Browser SDK, RUM dashboards, RUM Explorer and data collected
- Datadog Network Performance Monitoring: installation, the Network Page and the Network Map
- Datadog Developer Tools: DogStatsD, custom metrics, events and service checks, libraries, community office hours
- Custom checks: write a custom Agent check, write an OpenMetrics check, Amazon CloudFormation integrations and guides
- Datadog API: authentication, success and errors, rate limiting, troubleshooting, service checks, comments, dashboard lists, downtimes
- Datadog Account Management: user management, organization settings, SSO with SAML, multi-org accounts, switching orgs, billing
- Keys and alerting governance: API and Application Key rotation, alerting on Agent, APM (Tracing), Log Management and other considerations
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Datadog levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Install the Agent and tag hosts
Install the Datadog Agent on a Linux VM, add env and service tags in datadog.yaml, and build a dashboard that groups hosts by those tags.
Monitor a containerized web stack
Deploy the Agent with Helm on Kubernetes, use Autodiscovery to enable the Nginx and Redis integrations, and collect their container logs.
Dashboards, monitors and an SLO
Build a service dashboard with variables and distribution percentiles, then add a latency monitor with a downtime schedule and a 99.9% SLO.
Full-stack observability capstone
Instrument a multi-service app with dd-trace, connect its logs and traces, add an API test and RUM, and create monitors through the Datadog API.
Datadog is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Datadog with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Datadog certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Datadog level.
Certificate verificationCertificate of Completion
Datadog Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Datadog path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Datadog Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Datadog level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Datadog practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Datadog workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Datadog Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.