Ortem Technologies
    DevOps & Cloud

    DevOps Implementation Checklist 2026: 47 Steps to Production-Ready Pipelines

    Praveen Jha2026-05-0210 min read
    DevOps Implementation Checklist 2026: 47 Steps to Production-Ready Pipelines
    Quick Answer

    A DevOps implementation covers six domains: CI/CD, Infrastructure as Code, containerisation, observability, security (DevSecOps), and incident response. Use this checklist to audit your current state and prioritise gaps.

    Use this checklist to audit your current DevOps implementation or plan a new one. Each item is a concrete, verifiable state — not a vague best practice.

    Mark each item as Done ✅, Partial ⚠️, or Missing ❌ to get an honest picture of where you stand.


    Section 1: Source Control & Branching

    • All code lives in a Git repository (GitHub, GitLab, Bitbucket)
    • Trunk-based development or short-lived feature branches (< 2 days)
    • Branch protection on main/master: PRs required, direct pushes blocked
    • PR review required before merge (minimum 1 approver)
    • Commit messages follow a consistent convention (Conventional Commits recommended)
    • Secrets and credentials are never committed (pre-commit hooks or secret scanning)

    Section 2: CI — Continuous Integration

    • Every PR triggers an automated test run
    • Tests run in under 10 minutes (if longer, developers skip them)
    • Test suite includes unit tests (> 60% code coverage for critical paths)
    • Test suite includes integration tests against real dependencies
    • Build fails if any test fails — no manual overrides
    • Linting and static analysis run on every PR
    • Security scanning (SAST) runs on every PR (Snyk, Semgrep, or similar)
    • Dependency vulnerability scanning (npm audit, Safety, Dependabot)

    Section 3: CD — Continuous Deployment

    • Deployment to staging is fully automated on merge to main
    • Deployment to production requires one-click approval OR is fully automated with gates
    • Deployments are containerised (Docker)
    • Container images are tagged with Git SHA (not latest)
    • Container images are scanned for vulnerabilities before deployment
    • Rollback is automated: one command or one button to revert
    • Blue/green or canary deployment strategy for zero-downtime releases
    • Feature flags available for gradual rollouts (LaunchDarkly, Unleash, or custom)
    • Deployment notifications sent to Slack or equivalent

    Section 4: Infrastructure as Code

    • All cloud resources defined in code (Terraform, Pulumi, or CloudFormation)
    • IaC stored in version-controlled repository
    • Terraform state stored remotely (S3 + DynamoDB, Terraform Cloud, or similar)
    • terraform plan output reviewed in PR before apply
    • IaC linting and validation (tflint, checkov) runs in CI
    • No manual console changes — all infra changes go through IaC PRs
    • Separate Terraform workspaces or configurations per environment (dev/staging/prod)
    • Secrets managed via Vault, AWS Secrets Manager, or equivalent (not hardcoded)

    Section 5: Containerisation & Orchestration

    • Applications containerised with Docker
    • Dockerfiles use pinned base image versions (not latest)
    • Multi-stage builds used to keep image sizes small
    • Container runtime chosen: ECS, App Service, Cloud Run, or Kubernetes
    • Resource limits (CPU, memory) set on all containers
    • Readiness and liveness probes configured
    • If Kubernetes: namespaces, RBAC, and network policies defined
    • Container registry images scanned for CVEs (Trivy, Snyk, ECR scanning)

    Section 6: Observability

    • Metrics collected for all production services (Prometheus, Datadog, CloudWatch)
    • Dashboards for error rate, latency (p50/p95/p99), and throughput
    • Deployment markers on dashboards (correlate deploys with metric changes)
    • Structured logging (JSON) for all services
    • Log aggregation in place (CloudWatch Logs, Loki, Datadog, ELK)
    • Distributed tracing for multi-service requests (Jaeger, Tempo, X-Ray)
    • Uptime monitoring and synthetic checks (Uptime Robot, Checkly, or similar)
    • Alert rules set for error rate spikes, latency regressions, and disk/memory pressure

    Section 7: Security (DevSecOps)

    • SAST (static analysis) in CI pipeline
    • DAST (dynamic analysis) run against staging regularly
    • Container image vulnerability scanning in CI
    • Secrets manager in use — no secrets in environment variables or config files
    • IAM roles follow least-privilege principle
    • Network segmentation: services communicate only with required peers
    • Compliance-as-code checks (SOC 2, HIPAA, PCI) automated where applicable

    Section 8: Incident Response

    • On-call rotation defined and documented
    • Alert routing to on-call engineer (PagerDuty, OpsGenie, or Slack)
    • Runbooks for top 5 most common incidents written and accessible
    • Rollback procedure documented and tested
    • Post-mortem process defined (blameless, focused on system fixes)
    • MTTR tracked and reviewed monthly

    Scoring Your DevOps Implementation

    Count your ✅ items:

    ScoreState
    40–47Production-ready DevOps. Focus on refinement.
    28–39Solid foundation. Address the ❌ gaps systematically.
    15–27Partial implementation. CI/CD and IaC are the priority gaps.
    0–14Early stage. Start with Section 1 and 2.

    What to Do With Your Gaps

    Prioritise gaps in this order:

    1. Source control basics (Section 1) — everything else depends on this
    2. CI/CD pipelines (Sections 2–3) — highest ROI
    3. IaC (Section 4) — prevents drift and enables reliable environment recreation
    4. Observability (Section 6) — you can't improve what you can't see
    5. Security (Section 7) — especially if you're handling customer data
    6. Incident response (Section 8) — before you go to production with new pipelines

    Need help closing the gaps? Ortem Technologies runs structured DevOps implementation engagements — a 2-week audit followed by a 4–6 week implementation sprint. We also offer DevOps as a Service retainers for teams that want an embedded engineer who owns the checklist ongoing.

    Book a free DevOps audit → | How to Implement DevOps →

    About Ortem Technologies

    Ortem Technologies is a premier custom software, mobile app, and AI development company. We serve enterprise and startup clients across the USA, UK, Australia, Canada, and the Middle East. Our cross-industry expertise spans fintech, healthcare, and logistics, enabling us to deliver scalable, secure, and innovative digital solutions worldwide.

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    About the Author

    P
    Praveen Jha

    Director – AI Product Strategy, Development, Sales & Business Development, Ortem Technologies

    Praveen Jha is the Director of AI Product Strategy, Development, Sales & Business Development at Ortem Technologies. With deep expertise in technology consulting and enterprise sales, he helps businesses identify the right digital transformation strategies - from mobile and AI solutions to cloud-native platforms. He writes about technology adoption, business growth, and building software partnerships that deliver real ROI.

    Business DevelopmentTechnology ConsultingDigital Transformation
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