DevOps & Release Engineering Topics
CI/CD pipeline design, build automation, deployment strategies, release management, artifact repositories, version control integration, and continuous delivery practices. Covers infrastructure automation for delivery workflows, release gates and approvals, multi-service orchestration, rollback strategies, and GitOps approaches. Distinct from Cloud & Infrastructure by focusing specifically on delivery automation and release processes rather than infrastructure platforms.
Deployment and Release Strategies
Covers end to end practices, automation, and architectural choices for delivering software safely and frequently. Candidates should understand and be able to compare deployment and upgrade approaches such as blue green deployment, canary releases, rolling updates, recreate deployments, shadow traffic and shadow deployments, and database migration techniques that avoid downtime. This topic includes progressive delivery and feature management practices such as feature flagging, staged rollouts by user cohort or region, staged traffic ramp up, and progressive delivery platforms. Candidates should be able to explain safety controls and verification gates including health checks, automated validation gates, smoke testing and staging verification, automated rollback criteria, and emergency rollback procedures. They should understand zero downtime patterns, rollback complexity and mechanisms, capacity and resource requirements, latency and consistency trade offs, and techniques to reduce blast radius and deployment risk. The topic also covers release engineering and operational practices such as release orchestration across environments, deployment automation and pipelines, continuous integration and continuous delivery practices, approvals and release management processes, incident response and communication during releases, chaos testing to validate resilience, and observability and monitoring to detect regressions and measure release health. Candidates should be able to describe metrics to measure deployment velocity and reliability such as deployment frequency, mean time to recovery, and change failure rate, and explain how to design frameworks, automation, and operational processes to enable frequent safe deployments at scale.
Automation and Scripting
Covers practical and architectural skills for writing production safe automation and operational scripts as well as building reusable automation systems. Topics include designing idempotent automation, safe retries, robust error handling, structured logging and observability, argument parsing and command line interface design, configuration management, and secure credential handling. Emphasis on testing and validation of scripts and automation code, packaging, documentation, deployment, and maintainability so automation can be operated by other team members. Includes integration with schedulers such as cron and systemd timers, continuous integration and continuous delivery pipelines, orchestration and configuration management systems, and common operational patterns such as log processing, backups, polling, multi step orchestration, provisioning, configuration changes, and routine maintenance. Also assesses language selection and trade offs among Python, Go, Bash and other tooling, concurrency and performance considerations, and at senior levels the design and architecture of reusable automation frameworks and strategies for scaling automation to reduce toil.