devops-engineer_skill

This skill designs and enforces automated, IaC-driven CI/CD, multi-cloud infra, and observability to improve security, reliability, and speed.
  • Python

60

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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npx veilstrat add skill kienhaminh/anti-chaotic --skill devops-engineer

  • SKILL.md5.4 KB

Overview

This skill helps design and standardize Universal CI/CD, Multi-Cloud infrastructure, and Observability systems for production-grade software delivery. It codifies principles like Infrastructure as Code, security-first operations, and automated observability to reduce manual toil and increase reliability. Use it to choose cloud providers, IaC and CI/CD tools, and to enforce operational standards across teams.

How this skill works

The skill runs a decision engine that analyzes your stack context and maps requirements to recommended providers and tools (cloud, IaC, CI/CD, code normalization). It references curated comparison guidance to select best-fit options and then loads targeted reference material for implementation patterns, templates, and controls. It also enforces security and observability guardrails like least-privilege IAM, secret management, and mandatory logs/metrics/traces.

When to use it

  • Designing a new multi-cloud or cloud-agnostic platform architecture
  • Standardizing CI/CD pipelines across teams or repos
  • Selecting IaC tools for provisioning and drift control
  • Implementing observability and security baseline for production systems
  • Migrating workloads between cloud providers or to managed platforms

Best practices

  • Automate everything: script repeated tasks and avoid manual click-ops
  • Declare infrastructure as code and store remote state securely
  • Shift security left: use Vault/KMS for secrets and enforce least privilege
  • Mandate observability: collect logs, metrics, and distributed traces
  • Choose tools by use case: Terraform for multi-cloud, Pulumi for logic-heavy infra

Example use cases

  • Create a GitHub Actions pipeline template that builds, scans (SAST/DAST), and deploys to EKS with Terraform provisioning
  • Standardize IaC across teams using Terraform remote state and policy-as-code checks
  • Design a multi-cloud data pipeline choosing GCP for ML workloads and AWS for enterprise services
  • Implement observability with Prometheus + Grafana and distributed tracing for microservices
  • Migrate legacy Jenkins jobs to cloud-native CI (GitLab CI or GitHub Actions) with repeatable pipeline templates

FAQ

Use Terraform for industry-standard, declarative multi-cloud provisioning and stable remote state workflows. Choose Pulumi when you need imperative logic in familiar languages (TS/Python/Go) and developer ergonomics.

What is the minimum observability I should require?

At minimum, collect structured logs, key metrics (latency, error rate, throughput), and distributed traces for critical flows. Ensure retention and alerting for SLO violations.

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