Kubernetes

all_inclusive DevOps EngineeringGo from Linux and Git to shipping secure, observable software on Kubernetes and the cloud, on demand.

• Containers & Kubernetes › Kubernetes Core

shield_lock DevSecOps EngineeringBuild security into every commit, pipeline, cluster and cloud account without slowing delivery down.

• Container, Kubernetes & IaC Security › Kubernetes Security Fundamentals

model_training MLOps: Machine Learning OperationsTake predictive ML models from notebook to reliable, monitored, governed production on Kubernetes and cloud.

• Pipelines, CI/CD and Continuous Training › ML Pipelines with Kubeflow Pipelines
• Model Serving and Deployment › Model Serving on Kubernetes with KServe
• ML Platform Engineering at Scale › GPU Scheduling on Kubernetes

psychology AIOps: AI for IT OperationsTurn telemetry into action: cut alert noise, predict incidents, find root cause and automate fixes with AI.

• Automated Remediation & ITSM Integration › Self-Healing on Kubernetes

layers Platform Engineering & Internal Developer PlatformsBuild internal developer platforms as products: golden paths, self-service APIs and guardrails at scale.

• Kubernetes as the Platform Substrate › Kubernetes Core for Platform Teams
• Kubernetes as the Platform Substrate › Multi-Tenancy & Self-Service Namespaces
• Kubernetes as the Platform Substrate › Extending Kubernetes: CRDs, Controllers & Admission
• Kubernetes as the Platform Substrate › Cluster Fleet Lifecycle
• Operating, Measuring & AI-Enabling the Platform › AI-Native Platforms & MCP

monitor_heart Site Reliability EngineeringRun production like a software problem: SLOs, observability, incident response and automation at scale.

• Cloud-Native Production Platforms › Kubernetes Operations for Reliability
• Advanced SRE: Automation, AI & Leadership › Toil Reduction & Self-Healing Automation
• Advanced SRE: Automation, AI & Leadership › Reliability for AI & LLM Systems

savings FinOps: Cloud & Technology Financial OperationsGet more value from every cloud, AI and SaaS dollar with shared data, engineering action and accountability.

• Kubernetes & Container Cost Management › Kubernetes Cost Allocation with OpenCost
• Kubernetes & Container Cost Management › Rightsizing & Autoscaling for Cost
• FinOps for AI, Cloud+ & Operating the Practice › FinOps for AI & GPU Spend

cloud_sync Cloud Operations (CloudOps) EngineeringRun secure, reliable and cost-aware workloads on AWS, Azure and Google Cloud with automation-first operations.

• Networking & Compute Operations › Containers on Managed Services
• Cost, Multi-Cloud & AI-Assisted Operations › Hybrid & Multi-Cloud Operations

merge GitOps EngineeringRun apps, clusters and cloud infrastructure from Git with Argo CD, Flux and continuous reconciliation.

• GitOps Principles & Foundations › OpenGitOps Principles & the Reconciliation Loop
• GitOps Principles & Foundations › Kubernetes API Machinery for GitOps

smart_toy LLMOps: Operating LLM, RAG and Agent ApplicationsBuild, evaluate, serve, observe and secure LLM, RAG and agent applications in production at a sane cost.

• Inference Serving and Optimization › LLM Serving on Kubernetes