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Devops

  • 18 installs
  • 14 repo stars
  • Updated January 23, 2026
  • dauquangthanh/hanoi-rainbow

DevOps is an agent skill that advises on CI/CD, IaC, containers, deployments, and observability so teams can automate delivery and operate cloud-native workloads reliably.

About

DevOps is a Hanoi Rainbow skill covering CI/CD design, infrastructure as code, container orchestration, deployment strategies, and observability across AWS, GCP, and Azure. Reach for it when standing up pipelines, hardening Kubernetes workloads, or codifying deploy and monitor runbooks. It delivers patterns and configuration guidance rather than replacing your cloud provider consoles or vendor-specific support tickets.

  • CI/CD pipeline-as-code patterns
  • Terraform, CloudFormation, and Bicep guidance
  • Kubernetes deployment and security practices
  • RED/USE monitoring and alerting references

Devops by the numbers

  • 18 all-time installs (skills.sh)
  • Ranked #927 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs18
repo stars14
Last updatedJanuary 23, 2026
Repositorydauquangthanh/hanoi-rainbow

How do you design automated build-deploy-monitor pipelines and infrastructure that stay fast, secure, and recoverable?

Designs CI/CD, IaC, Kubernetes deployments, observability, and secure release automation across major clouds.

Who is it for?

Developers and platform engineers implementing or improving CI/CD, Kubernetes, Terraform, and production monitoring stacks.

Skip if: Teams needing only application-level bug triage or frontend component implementation without delivery infrastructure.

When should I use this skill?

You are designing CI/CD, provisioning cloud infra as code, containerizing apps, or setting up deployment and monitoring.

What you get

Pipeline configs, IaC snippets, deployment strategy choices, and operational checklists aligned to referenced best practices.

Files

SKILL.mdMarkdownGitHub ↗

DevOps

Core Capabilities

Provides expert guidance covering the entire software delivery lifecycle:

1. CI/CD Pipeline Design - Automated build, test, and deployment workflows 2. Infrastructure as Code - Cloud resource provisioning with Terraform, CloudFormation, Bicep 3. Container Orchestration - Docker and Kubernetes deployment patterns 4. Deployment Strategies - Blue-green, canary, and rolling deployments 5. Monitoring & Observability - Metrics, logging, alerting with Prometheus, Grafana, ELK 6. Configuration Management - Ansible, Chef, Puppet automation 7. Security & Compliance - DevSecOps practices and container security

Best Practices

CI/CD

  • Keep pipelines fast (< 10 minutes for feedback)
  • Fail fast with quick tests first
  • Use pipeline as code (version controlled)
  • Implement proper secret management
  • Enable artifact caching and parallelize independent jobs

Infrastructure as Code

  • Use remote state with locking
  • Create reusable modules and pin versions
  • Always review plan before apply
  • Implement proper tagging strategy
  • Document resource dependencies

Container Orchestration

  • Set resource requests and limits
  • Implement health checks (liveness/readiness probes)
  • Use pod anti-affinity for high availability
  • Enable horizontal pod autoscaling
  • Implement proper logging and monitoring

Deployment

  • Use rolling updates with zero downtime
  • Implement proper health checks and rollback capabilities
  • Use canary/blue-green for critical applications
  • Test thoroughly in staging environments
  • Monitor post-deployment metrics

Security

  • Run containers as non-root with read-only root filesystems
  • Scan images for vulnerabilities regularly
  • Implement network policies and secrets management
  • Enable pod security standards and least privilege access

Monitoring

  • Collect metrics using RED/USE methods
  • Implement structured logging with meaningful alerts
  • Create actionable dashboards and monitor SLIs/SLOs
  • Set up distributed tracing for microservices

Detailed References

Load reference files based on specific needs:

  • CI/CD Pipeline Design: See cicd-pipeline-design.md for:
  • GitHub Actions, GitLab CI, Jenkins pipeline examples
  • Automated build, test, deploy workflow patterns
  • Pipeline optimization and caching strategies
  • Infrastructure as Code: See infrastructure-as-code.md for:
  • Terraform, CloudFormation, Bicep patterns
  • AWS, GCP, Azure resource provisioning
  • Module design and state management
  • Container Orchestration: See container-orchestration.md for:
  • Kubernetes manifests, Helm charts, Kustomize
  • Docker best practices and multi-stage builds
  • Service mesh and networking patterns
  • Deployment Strategies: See deployment-strategies.md for:
  • Blue-green deployment implementation
  • Canary release patterns with traffic splitting
  • Rolling update strategies and rollback procedures
  • Monitoring & Observability: See monitoring-and-observability.md for:
  • Prometheus, Grafana setup and configuration
  • ELK stack deployment and log aggregation
  • Alert rules, dashboards, and SLO definitions
  • Security Best Practices: See security-best-practices.md for:
  • DevSecOps pipeline integration
  • Container security scanning and hardening
  • Secret management and compliance validation
  • Configuration Management: See configuration-management.md for:
  • Ansible playbooks, Chef recipes, Puppet manifests
  • Server configuration automation patterns
  • Infrastructure drift detection
  • Common Commands: See common-commands.md for:
  • Kubernetes kubectl command reference
  • Docker CLI operations
  • Terraform and cloud provider CLI commands
  • Troubleshooting: See troubleshooting-guide.md for:
  • Common issues and resolution steps
  • Debugging techniques for containers and orchestration
  • Performance optimization strategies

Related skills

FAQ

Which CI systems are covered?

Reference material includes GitHub Actions, GitLab CI, and Jenkins pipeline examples.

Does it include security practices?

Yes—DevSecOps, container hardening, secrets, and image scanning are part of the skill scope.

Is this limited to one cloud?

No—guidance spans AWS, GCP, and Azure automation patterns.

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