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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

New Redgate Flyway GitHub Actions: Faster setup, safer deployments

This is a guest post from Stephanie Herr. If your team uses GitHub Actions to ship application code, you've probably wished your database changes could move through the same pipeline just as smoothly. Today, that's easier than ever. We've launched verified Redgate Flyway GitHub Actions on the GitHub Marketplace, giving you a simple, reliable way to integrate database deployments into your existing GitHub workflows.

What Is a DevOps Pipeline? Stages, Benefits, and CI/CD Explained | Harness Blog

A DevOps pipeline is a critical part of modern software delivery. It is a series of automated steps that move code from commit to production quickly, reliably, and consistently. At its core, a DevOps pipeline is a system that helps teams build, test, and release apps in an easier way. It cuts down on manual work and mistakes. This helps teams send out updates more often, make better software, and react quickly when the business needs change.

Birol Yildiz on Autonomous Incident Response and the Future of AI SRE | Harness Blog

At SREday NYC 2026, the ShipTalk podcast welcomed Birol Yildiz, Co-founder and CEO of ilert, for a conversation about the next evolution of incident response. In the episode, ShipTalk host Dewan Ahmed, Principal Developer Advocate at Harness, spoke with Birol about how artificial intelligence is transforming reliability engineering—from simply assisting engineers during incidents to autonomously diagnosing and resolving outages.

Code Coverage: Measure, Improve, and Scale Quality in CI | Harness Blog

Most engineering teams know the difference between “we have tests” and “we know we’re well-tested.” Your CI builds may be green, but without code coverage, it’s hard to prove how much of your code is actually exercised by automated tests. Code coverage measures what percentage of your code runs during tests (lines, branches, and functions), and when you wire it into CI gates, it becomes an enforceable quality signal and not a vanity metric.

How to Drive Internal Platform Adoption Developers Love | Harness Blog

Internal platform adoption usually doesn’t fail because developers “hate standards.” It fails because the platform doesn’t make their day easier. If your portal still means waiting, waiting on an environment, waiting on an approval, waiting on the platform team, it becomes one more tab that people stop opening. But if the platform lets engineers get the common stuff done quickly (with guardrails that keep things consistent), they’ll come back on their own.

Best VPS Providers in 2026: Ranking by Price, Performance, and Support Quality

Choosing a VPS provider directly impacts application performance, service availability, and overall infrastructure costs. While dozens of companies offer virtual servers, the real differences in performance, server geography, and support quality are substantial.

Beyond Traditional Banking: Buying a Dedicated Server with Crypto

As digital projects scale, the standard virtual private server often becomes insufficient to handle the increased traffic, complex database queries, and intensive computational workloads. When a business reaches this critical growth phase, migrating to a dedicated server is the logical next step. However, for those who value corporate privacy and wish to operate outside the traditional, heavily monitored banking system, the ability to buy dedicated server with crypto is an absolute game-changer.

How to set up Incident Alert Routing rules effectively

When an incident triggers, the question is not just what broke but also how urgent it is and who on your team needs to respond. Alert Routing rules answer those questions automatically. You define the conditions once and the right response follows every time an incident triggers. Every Alert Routing rule does one or more of these three things: Three conditions drive all of it: incident payload, time of occurrence, and frequency.

The Hidden AI Bill: Why Non-Prod LLM Costs Spiral

Most teams know they are spending money on AI in production. Far fewer realize how much they are spending outside production. It’s easy to get lost as you evaluate which model has the best responses, is fast enough, and cheap enough to run in production. That is because the AI bill usually shows up as a giant blob. It is easy to see the total.