---
title: "Embracing DevOps: Enhancing Collaboration and Efficiency"
description: "Aleksandr Filippov applies DevOps principles across GitHub Actions and GitLab CI — quality gates, conventional-commit release automation, containerized builds, and Helm deployments to Kubernetes."
date: "2024-03-17T07:00:00Z"
last_updated: "2026-07-27"
build_time: "2026-08-25T00:24:24Z"
skill_name: "DevOps"
skill_description: "Hands-on CI/CD across GitHub Actions and GitLab CI — quality gates on every change, conventional-commit release automation that versions, changelogs, and publishes packages and container images, and Helm-based deployments to Kubernetes."
skill_category: ["it-operations-and-support","development-and-operational-technologies"]
since: "2018-09-01"
last_used: "2026-07-27"
related_skills: ["software-development","python","agile-methodologies","git","cloudflare","docker","kubernetes","google-cloud","terraform","jira","it-ops","mcp"]
related_projects: ["air-api","mcp-context-server","st-copy","terraform-cloudflare-zone-module","motion-bus-card-checks-bot"]
related_experience: ["head-of-technology-at-amega","ai-product-manager-at-spotware"]
certifications: ["develop-your-skills-as-a-software-project-manager-by-linkedin-learning"]
keywords: ["DevOps","CI/CD","GitHub Actions","GitLab CI","Helm","Kubernetes","Docker","Release Automation","Pre-commit","Continuous Delivery","PyPI","Automation","Continuous Improvement"]
license: "https://creativecommons.org/licenses/by/4.0/"
canonical: "https://www.alexfeel.info/skills/devops/"
---

Leveraging DevOps principles, I automate the path from commit to deployed release. On GitHub that is **GitHub Actions** — lint, type-check, and test gates on every pull request, plus a release train driven by conventional commits: it derives the next version, writes the changelog, and once the release is published it builds and ships the artifacts on its own — the Python package to PyPI, multi-architecture container images with SBOM and build provenance to the GitHub Container Registry, and the server entry to the MCP Registry. On GitLab it is a staged pipeline — checks, dependency and image builds, then deploy — where every merge request runs pre-commit, a `pytest` suite with coverage reporting, and an integration test against a live server, and a tagged commit on `main` builds the image with Kaniko and upgrades a **Helm** release on **Kubernetes** with horizontal pod autoscaling, readiness and liveness probes, and an atomic rollback if the upgrade fails.

Around both sit the practices that make the automation worth having: containerized builds with Docker, infrastructure described as code from Terraform modules to Helm values, and pre-commit gates so the pipeline is not the first place a problem gets noticed. This hands-on experience underscores my commitment to continuous integration, delivery, and deployment, promoting a culture of continuous improvement and operational efficiency.


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