2. DevOps & Infrastructure

Provides unified access to Grafana, Loki, and Prometheus for monitoring, logging, and metrics in Kubernetes, replacing direct cluster tool usage.

Provides AWS-specific operational and development rules for cloud infrastructure management and deployment.

Comprehensive management of Dokploy self-hosted PaaS, handling server operations, app deployment, Docker orchestration, and infrastructure monitoring via SSH and API.

Manages GitHub Actions self-hosted runner groups with repository access controls, workflow restrictions, and security boundaries for efficient CI/CD pipelines.

Automates semantic versioning, builds executables, and creates GitHub releases with minimal notes.

Manages token expiration, refresh strategies, and rate limits for GitHub Actions workflows to ensure reliable long-running automation.

Builds minimal, secure container images for Go CLIs using distroless base images and static binaries.

Automates secret rotation in GitHub Actions with schedule recommendations, zero-downtime strategies, and notification patterns for secure credential management.

Reduces CI/CD matrix build jobs from 47 to 3 using path filtering, deduplication, and dynamic job generation to run only changed components.

Enables reliability testing of Kubernetes clusters through controlled chaos experiments using Chaos Mesh and LitmusChaos.

Automates blog deployment to GitHub Pages upon user request, handling build and publishing processes.

Automates versioned documentation deployment using MkDocs Material, mike, and release-please for release alignment.

Expertly configures and troubleshoots Google Cloud Build CI/CD pipelines, including cloudbuild.yaml, triggers, and Cloud Run deployments.

Automates pull request generation, deployment checklist creation, and end-to-end release process management for seamless software delivery.

Enforces production deployment safety through required reviewers, wait timers, and approval gates for environment protection.

Deploys portfolios to production using Vercel, Netlify, Cloudflare Pages, GitHub Pages, and Docker with AI-driven deployment options.

Configures automated semantic versioning, changelog generation, and monorepo support for GitHub-based release workflows using release-please.

Configures organization-level GitHub Apps for secure cross-repository automation with machine identity and audit trails.

Automates injection of labels, sidecars, and configuration into Kubernetes workloads during admission control using Kyverno policies.

Automates version management and changelog generation for modular components, using GitHub App tokens and release-please to build only changed parts.

Configures least-privilege IAM roles for GKE nodes and workloads, enabling Workload Identity Federation and comprehensive audit logging.

Provides Kubernetes network security templates to enforce NetworkPolicy, Ingress, and Service restrictions using Kyverno.

Enables safe rerunning of CI/CD workflows without duplicates, corruption, or failures through idempotent operation design.

Installs and configures MCP servers for Claude Code, supporting multiple transports (stdio, HTTP, SSE) via environment variables.