An insight into the way we run the infrastructure that runs all our services, or news about the DevOps world
Displaying posts 49 - 60 of 205 in total
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 keeps a human approval step before production. Continuous deployment removes it. Here is which to pick, with prerequisites for each.
Build a CI/CD pipeline that actually works: eight pipeline stages, a GitHub Actions example, deployment strategies, and the anti-patterns to avoid.
Compare 2026's top deployment tools — DeployHQ, Octopus, AWS CodeDeploy, Netlify, Vercel, Railway, GitHub Actions, Argo CD. Decision framework included.
Learn what software deployment is, why it matters, and how to do it well. Covers deployment strategies, common failures, automation, and how DeployHQ simplifies the process.
The complete guide to Laravel deployment — comparing Forge, Cloud, DeployHQ, and Deployer side by side. Covers zero-downtime releases, build pipelines, environment configuration, and a 15-point deployment checklist.
Compare three deployment agents for firewalled servers — DeployHQ Agent, Buddy Proxy Agent, and Octopus Polling Tentacle. Side-by-side analysis of architecture, protocols, security, and pricing.
Move WordPress from local to production the right way: version-control your theme and plugin code, then auto-deploy local → staging → live with Git.
Catch security vulnerabilities, N+1 queries, and misconfigurations before they hit production. Learn how to integrate AI code review into your deployment pipeline.
Your deployment is green but users say the site is slow — and you have no way to find out why. OpenTelemetry gives you metrics, traces, and logs in a single vendor-neutral standard. This guide covers zero-code setup for Python, Node.js, and Java, plus how to connect it all to your deployment pipeline.
What if deploying to production was as simple as asking? Explore how LLMs, MCP, and contextual AI are turning deployment from a checklist into a conversation — and what developers can do to prepare.
Turbo Deployments bundle your files into a single compressed package, upload once, and unpack on the server -- cutting deployment times by up to 10x compared to traditional file-by-file uploads.