Skill UI

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

Deploys Cilium Tetragon-based eBPF tracing to watch processes, network, file access, and enforce runtime policies while streaming JSON events to SIEM pipelines for Linux hosts or Kubernetes clusters.

Automates CI/CD pipeline setup, from linting and type checks to integration, E2E, security, and deployment stages, plus feedback loops for AI agents and preview deployments.

Guides Go teams through GitHub Actions CI/CD setup that covers testing, linting, vetting, SAST, vuln scanning, dependency automation, coverage, and GoReleaser-driven releases so every pipeline decision balances speed, signal, and security.