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.
Configuration Management and Operational Rigor
Practices and processes for managing system and network configurations with operational discipline. Topics include version control for configurations, secure configuration backups, automated testing of configuration changes, rollback and recovery mechanisms, detecting and remediating configuration drift, documentation and runbook development, change windows and impact assessment, stakeholder communication for changes, and balancing operational rigor with deployment velocity. Interviewers may probe tooling, automation strategies, validation and testing approaches, and how the candidate ensures repeatability, auditability, and safe change promotion across environments.
Production Deployments and Operations
Covers the end to end practices and trade offs involved in releasing, running, and operating software in production environments. Topics include deployment strategies such as blue green deployment, canary releases, and rolling updates, and how each approach affects reliability, rollback complexity, recovery time, and release velocity. Includes feature flagging and release gating to separate deployment from feature exposure. Addresses continuous integration and continuous deployment pipeline design, automated testing and validation in pipelines, artifact management, environment promotion, and release automation. Covers infrastructure as code and environment provisioning, containerization fundamentals including container images and runtimes, container registries, and orchestration fundamentals such as scheduling, health checks, autoscaling, service discovery, and the role of Kubernetes for scheduling and orchestration. Discusses database migration patterns for large data sets, strategies for online schema changes, and safe rollback techniques. Explores monitoring and observability including metrics, logs, and traces, distributed tracing and error tracking, performance monitoring, instrumentation strategies, and how to design systems for effective troubleshooting. Includes alerting strategy and runbook design, on call and incident response processes, postmortem practice, and how to set meaningful service level objectives and service level indicators to balance reliability and velocity. Covers scalability and high availability patterns, multi region deployment trade offs, cost versus reliability considerations, operational complexity versus operational velocity trade offs, security and compliance concerns in production, and debugging and troubleshooting practices for distributed systems with partial information. Candidates should be able to justify trade offs, explain when a simple deployment model is preferable to a more complex architecture, and give concrete examples of operational choices and their impact.
Infrastructure Documentation and Change Management
Maintaining accurate infrastructure documentation: architecture diagrams, runbooks, playbooks, configuration baselines. Change management processes: planning, testing, communicating, rolling back if needed. Version control for configuration files and scripts. Infrastructure as Code (IaC) concepts. Communication during outages and changes. Post-change validation.
Network Change Management and Testing
Processes and best practices for safely planning, testing, and executing network changes. Coverage includes change control and approvals, pre change validation and automated tests, staging and canary rollouts, rollback and remediation strategies, configuration management and automation, integration and interoperability testing, smoke tests and post deployment verification, monitoring and alerting to detect regressions, and stakeholder coordination including maintenance windows and communication plans.
Operational Excellence and Evolution Strategy
Practices for evolving infrastructure safely and running networks with operational excellence. Covers phased evolution plans, backward compatibility strategies, deprecation and migration planning, zero downtime deployment techniques including canary and blue green approaches, observability and runbook design, automation to reduce manual toil, change windows and communication plans, testing and rollback strategies, post incident reviews, and aligning monitoring and capacity planning with operational goals. This topic tests a candidate ability to plan long lived infrastructure changes that minimize risk while enabling ongoing innovation.
Operational Excellence and Change Management
Focus on operational discipline and processes that enable safe, repeatable, and observable changes to network systems. Topics include change approval and scheduling, staging and test strategies such as canary and phased rollouts, rollback and remediation planning, configuration and version control for network state, automation and testing of operational workflows, runbooks and knowledge capture, monitoring and alerting tied to service level objectives, incident handoffs, and metrics for tracking toil and operational effectiveness. Candidates should be able to justify process choices by risk profile and organizational constraints, design measurable automation and testing to reduce mean time to repair and to prevent regressions, and describe cultural practices for continuous improvement.
Automated Patch and Vulnerability Management
Automated patch and vulnerability management: patch detection, risk-based prioritization, staged patch testing and safe rollout with rollback, OS/application-layer patching, dependency management, emergency patch procedures, and compliance.
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.