ops-devops-platform

Solid

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.

AI & Automation 80 stars 17 forks Updated 1 weeks ago MIT

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Quality Score: 83/100

Stars 20%
64
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# DevOps Engineering — Quick Reference This skill equips teams with actionable templates, checklists, and patterns for building self-service platforms, automating infrastructure with GitOps, deploying securely with DevSecOps, scaling with Kubernetes, ensuring reliability through SRE practices, and operating production systems with strong observability. **Modern baseline (2026)**: IaC (Terraform/OpenTofu/Pulumi), GitOps (Argo CD/Flux), Kubernetes (follow upstream supported releases), OpenTelemetry + Prometheus/Grafana, supply-chain security (SBOM + signing + provenance), policy-as-code (OPA/Gatekeeper or Kyverno), and eBPF-powered networking/security/observability (e.g., Cilium + Tetragon). --- ## Quick Reference | Task | Tool/Framework | Command | When to Use | |------|----------------|---------|-------------| | Infrastructure as Code | Terraform / OpenTofu | `terraform plan && terraform apply` | Provision cloud resources declaratively | | GitOps Deployment | Argo CD / Flux | `argocd app sync myapp` | Continuous reconciliation, declarative deployments | | Container Build | Docker Engine | `docker build -t app:v1 .` | Package applications with dependencies | | Kubernetes Deployment | kubectl / Helm (Kubernetes) | `kubectl apply -f deploy.yaml` / `helm upgrade app ./chart` | Deploy to K8s cluster, manage releases | | CI/CD Pipeline | GitHub Actions | Define workflow in `.github/workflows/ci.yml` | Automated testing, building, deploying | | Security Scanning | Trivy / Falco...

Details

Author
vasilyu1983
Repository
vasilyu1983/AI-Agents-public
Created
9 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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