A hands-on studio for Terraform foundations, Kubernetes platforms, CI/CD, observability, security automation, GitOps, serverless operations, and internal developer platforms.
DevOps Studio is organized around the platform work practitioners actually need to do: establish infrastructure, run containers, ship software, observe systems, automate security, reconcile with GitOps, operate serverless workloads, and expose self-service paths.
The labs document implementation patterns, deployment strategies, operational tradeoffs, and production considerations that turn architecture into something a team can run.
Scope: DevOps Studio covers the core delivery competencies that apply across any engagement — infrastructure as code, container platforms, CI/CD, observability, security automation, GitOps, and platform engineering. For what changes when the customer's environment is constrained (air-gapped, firewall-restricted, multi-tenant), see Implementation Studio.
That framing changes the work from tool configuration to Solutions Architecture: customer requirement, architecture decision, tradeoffs, implementation, validation, and operations.
A lab should not begin with "Today we'll learn EKS." It should begin with a customer scenario:
A healthcare organization needs to deploy workloads into AWS while maintaining HIPAA requirements and minimizing operational overhead.
From there, the evaluation covers managed vs. self-managed platforms, IAM design, networking, GitOps, monitoring, disaster recovery, and operational handoff.
The eight labs are not isolated exercises. They compose into one implementation path: infrastructure foundation, workload platform, delivery pipeline, observability, security automation, GitOps, serverless operations, and internal platform enablement.
New here? Read the Prerequisites and Getting Started guides first, then browse the Labs.