Description

This curriculum spans the equivalent of a multi-workshop operational transformation program, addressing the full lifecycle of IT service delivery in a DevOps context—from deployment and monitoring to incident response, compliance, and continuous improvement—mirroring the scope of an internal capability build-out across development and operations functions.

Module 1: Integrating IT Operations into DevOps Lifecycle

Define operational readiness criteria for inclusion in CI/CD pipelines, including logging, monitoring, and failover configurations.
Establish shared ownership of production incidents between development and operations teams using RACI matrices.
Implement change advisory board (CAB) lightweight approvals for high-risk deployments without impeding deployment velocity.
Design feedback loops from production telemetry into sprint retrospectives to prioritize reliability improvements.
Integrate infrastructure provisioning workflows with application deployment pipelines using GitOps patterns.
Negotiate service level objectives (SLOs) with development teams to align feature delivery with operational stability.

Module 2: Configuration Management at Scale

Select configuration management tools (e.g., Ansible, Puppet, Chef) based on team skill set, infrastructure heterogeneity, and idempotency requirements.
Structure configuration repositories using environment hierarchies and role-based profiles to minimize duplication and enforce consistency.
Implement drift detection mechanisms and automated remediation for non-compliant node configurations.
Manage secrets in configuration workflows using short-lived tokens and integration with vault systems like HashiCorp Vault or AWS Secrets Manager.
Enforce configuration versioning and audit trails to support compliance and rollback scenarios during audits.
Balance immutable infrastructure principles with mutable configuration updates for legacy systems that cannot be replaced.

Module 3: Monitoring, Observability, and Alerting

Define meaningful service-level indicators (SLIs) such as latency, error rate, and throughput for critical business transactions.
Configure threshold-based alerts with dynamic baselines to reduce alert fatigue from seasonal traffic patterns.
Instrument distributed systems with structured logging and distributed tracing to isolate cross-service performance bottlenecks.
Integrate monitoring data into incident response runbooks with pre-populated diagnostic commands and escalation paths.
Implement synthetic transaction monitoring to validate end-user experience for externally facing services.
Optimize metric retention policies based on cost, compliance, and troubleshooting needs across development, staging, and production.

Module 4: Incident Management and Post-Incident Review

Standardize incident classification and severity levels to ensure consistent response across on-call teams.
Enforce incident timelines with timestamps for detection, acknowledgment, mitigation, and resolution for post-mortem analysis.
Conduct blameless post-mortems with required participation from both development and operations stakeholders.
Track action items from post-mortems in a centralized system with ownership and due dates to ensure follow-through.
Integrate incident data into service reliability reports to inform capacity planning and tech debt prioritization.
Rotate on-call responsibilities with structured handovers and require documented coverage plans during absences.

Module 5: Change and Release Management

Implement progressive delivery strategies such as canary releases and feature flags to reduce blast radius of faulty deployments.
Enforce gated promotions between environments using automated quality gates based on test coverage and performance benchmarks.
Track change records in a CMDB synchronized with deployment tools to maintain audit compliance for regulated systems.
Define rollback procedures for each release type, including database schema changes and stateful service updates.
Coordinate cross-team releases using shared release calendars and dependency mapping to avoid scheduling conflicts.
Balance automation speed with manual review requirements for changes affecting customer-facing services or financial systems.

Module 6: Capacity Planning and Performance Engineering

Model future capacity needs using historical growth trends, business forecasts, and seasonal demand patterns.
Conduct load testing in pre-production environments that mirror production topology and data volumes.
Right-size cloud instances based on actual utilization metrics, considering cost-performance trade-offs and reserved capacity options.
Implement auto-scaling policies with cooldown periods and predictive scaling for anticipated traffic spikes.
Identify performance bottlenecks using APM tools and coordinate optimization efforts with development teams.
Document performance baselines for critical services to detect degradation early during deployments.

Module 7: Security and Compliance Integration

Embed security scanning tools (SAST, DAST, SCA) into CI/CD pipelines with policy-based pass/fail criteria.
Automate compliance checks for regulatory standards (e.g., PCI, HIPAA) using infrastructure-as-code linting and configuration audits.
Enforce least-privilege access for deployment and operational tools using role-based access control (RBAC).
Integrate vulnerability management workflows with patching schedules for OS and third-party dependencies.
Coordinate penetration testing activities with development and operations teams to minimize production impact.
Design audit trails for privileged operations with immutable logging and retention aligned with legal requirements.

Module 8: Continuous Improvement and Operational Maturity

Measure operational maturity using DORA metrics (deployment frequency, lead time, change fail rate, MTTR).
Conduct regular value stream mapping to identify delays and waste in deployment and incident resolution workflows.
Standardize operational playbooks and integrate them with incident management platforms for real-time updates.
Rotate operations engineers into development teams for limited durations to improve cross-functional understanding.
Refactor technical debt in operational tooling based on incident frequency and maintenance burden metrics.
Establish a center of excellence for DevOps practices to curate tooling standards and share operational insights across teams.