DeployHQ is a code deployment platform designed to help you get files from Git, Mercurial & Subversion repositories onto your servers using SFTP, FTP, S3, Digital Ocean and more!
An insight into the way we run the infrastructure that runs all our services, or news about the DevOps world
Displaying posts 97 - 108 of 189 in total
Deployment can be a complex and time-consuming process that often feels like navigating a minefield. Whether you're managing small projects or enterprise-level applications, the right deployment strategies can save you hours of work and reduce potential errors.
Build a production-ready deployment pipeline for Entity Framework Core 9 migrations using migration bundles and DeployHQ. Covers safe migration patterns, zero-downtime strategies, and automated CI/CD workflows.
Compare 5 Kirby hosting options (VPS, DeployHQ, Dokku, managed, GitHub Pages) with PHP requirements, real pricing, and operational tradeoffs.
Compare Puma, Passenger, Falcon, iodine, and Agoo for Ruby production deployments. Includes real benchmarks, architecture deep dives, Nginx configuration, and practical tuning advice from running Rails in production.
Automate Windows Server 2022 deployments on AWS LightSail! See how Innovate Solutions used DeployHQ to streamline their workflow, reduce errors, and accelerate releases. Learn how to configure OpenSSH and automate IIS deployments.
Cloud repatriation is no longer radical. Learn why CIOs are exiting the cloud due to rising costs and vendor lock-in. Explore the economics of cloud storage and compute, the impact of AI, and the importance of architectural sovereignty. Discover practical cloud exit strategies and how DeployHQ offers up to 90% cost savings and full control.
Vendor lock-in explained with real cloud, database, and AI examples — what it is, the warning signs, and proven ways to keep your exit cost bounded.
Deploy Keycloak 26 on a VPS with Docker Compose, PostgreSQL, Nginx, and TLS. This production-ready guide includes automated configuration deployments with DeployHQ.
A practical guide to self-hosting AI models on your own infrastructure. Covers hardware requirements, VRAM and quantisation, model selection for 2026, cost comparisons with cloud APIs, and deployment with DeployHQ.
Best practices for Flask 3 + SQLAlchemy 2 in production: typed models, Alembic autogenerate gotchas, and zero-downtime schema migrations.
Run n8n on an Alibaba Cloud VPS with Docker and Postgres behind Nginx and Let's Encrypt — a production-grade setup with the gotchas every quickstart skips.
An honest, side-by-side comparison of Tomcat, WildFly, Jetty, Open Liberty, Quarkus, and Spring Boot — with real performance data, deployment examples, and a practical decision framework for choosing the right Java application server.