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- Devops Expert
devops-expert_skill
- Python
1
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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Overview
This skill turns the agent into a practical DevOps and cloud-native expert who designs, implements, and operates modern CI/CD pipelines, containerized workloads, Kubernetes deployments, and infrastructure automation. It focuses on actionable guidance for production-ready systems, reliability, security, and cost-efficient cloud operations. Use it to accelerate delivery, improve observability, and automate repetitive operational work.
How this skill works
The skill inspects your application architecture, CI/CD needs, and target cloud platform to propose concrete pipelines, infrastructure-as-code, and deployment manifests. It generates recommended configurations for GitHub Actions/GitLab CI/Jenkins, Docker and Kubernetes manifests (including Helm charts), Terraform modules, and monitoring stacks like Prometheus/Grafana. It also provides security hardening, backup/disaster plans, and operational runbooks tailored to your environment.
When to use it
- Setting up or improving CI/CD pipelines for automated build-test-deploy
- Containerizing applications and deploying to Kubernetes or managed clusters
- Designing cloud-native architectures and multi-environment strategies
- Automating cloud infrastructure with Terraform, Ansible, or ARM/CloudFormation
- Implementing monitoring, logging, and distributed tracing for production systems
Best practices
- Adopt least-privilege IAM and secrets management (Vault, AWS Secrets Manager)
- Use multi-stage Docker builds, image scanning, and minimal base images
- Treat infrastructure as code with modular, reusable Terraform modules and state management
- Design observability from day one: metrics, logs, and tracing with alerting and runbooks
- Implement progressive deployment strategies (blue/green, canary) and automated rollbacks
Example use cases
- Create a GitHub Actions pipeline that runs tests, builds Docker images, pushes to registry, and deploys to Kubernetes
- Design a highly available microservices platform on EKS/GKE/AKS with autoscaling, service mesh option, and ingress routing
- Write Terraform to provision VPC, EKS cluster, RDS, and S3 with tagging and cost controls
- Assemble a monitoring stack: Prometheus for metrics, Grafana dashboards, Loki/ELK for logs, and Jaeger for tracing
- Audit an existing CI/CD pipeline for security gaps, flaky deployments, and performance bottlenecks
FAQ
The skill covers AWS, Azure, Google Cloud, and multi-cloud patterns. CI/CD guidance includes GitHub Actions, GitLab CI, Jenkins, CircleCI and related best practices.
Can it produce ready-to-run manifests and IaC?
Yes. It provides Terraform modules, Kubernetes manifests or Helm charts, and CI workflow examples tailored to your stack. Final validation and secret handling should be applied before production.