PR Radar vs GitHub Notifications vs Email: How Developers Actually Track Pull Requests
Email, GitHub's inbox, Slack bots, or a dedicated extension — here's how developers actually track PRs across GitHub, GitLab, and Bitbucket.
Devops & Infrastructure
An insight into the way we run the infrastructure that runs all our services, or news about the DevOps world
Displaying posts 25 - 36 of 189 in total
Agentic Workflows Explained: How AI Agents Are Changing CI/CD Pipelines
AI coding agents have moved beyond your terminal. GitHub's Copilot Coding Agent and similar tools now run inside CI/CD pipelines — triaging bugs, writing fixes, and opening pull requests automatically. Here's what agentic workflows actually look like, how to set them up, and where deployment fits in.
6 Developer CLIs That AI Coding Agents Actually Use Well
The best CLIs for AI coding agents share one trait: structured, predictable output. Here are six tools — from GitHub CLI to Terraform — that consistently deliver the best results when paired with Claude Code, Codex, and Gemini CLI.
CLIs or MCP for Coding Agents? A Practical Comparison
AI coding agents connect to external tools through CLIs and MCP — but the two approaches differ in output structure, context efficiency, security, and discoverability. Here's when to use each, and why the best setup combines both.
SOC 2 Compliance for Deployment Workflows: What Auditors Look For
Your deployment pipeline is an audit surface. Here are the six controls SOC 2 auditors actually check — SSO, RBAC, audit trails, change management, environment separation, and vendor compliance — and how to meet them without slowing down.
SQLite vs PostgreSQL vs MySQL: Choosing the Right Database
A practical comparison of SQLite, PostgreSQL, and MySQL — when to use each, SQL syntax differences, and how database choice affects your deployment workflow.
Nginx vs Apache vs Caddy: Choosing the Right Web Server
A practical comparison of Nginx, Apache, and Caddy — with real configuration examples, performance benchmarks, and advice for choosing the right web server for your project.
How To Deploy from Windows Using WSL2, Docker, and DeployHQ
Set up a WSL2 development environment on Windows with Docker Desktop, then deploy to Linux servers automatically with DeployHQ — no more "works on my machine" issues.
Heroku Enters Sustaining Engineering Mode: What It Means and When to Consider Alternatives
Heroku has stopped building new features and halted Enterprise sales. Here is what the announcement means, who should migrate, and how DeployHQ fits as a deployment layer for teams that deploy to their own servers.
Continuous Delivery vs Continuous Deployment: Key Differences and When to Use Each
Continuous delivery keeps a human approval step before production. Continuous deployment removes it. Here is which to pick, with prerequisites for each.
How to Build a CI/CD Pipeline: A Practical Guide (with GitHub Actions)
Build a CI/CD pipeline that actually works: eight pipeline stages, a GitHub Actions example, deployment strategies, and the anti-patterns to avoid.
Best Software Deployment Tools in 2026
Compare 2026's top deployment tools — DeployHQ, Octopus, AWS CodeDeploy, Netlify, Vercel, Railway, GitHub Actions, Argo CD. Decision framework included.