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Closing the Year Strong: Harness Q4 2025 Continuous Delivery & GitOps Update | Harness Blog

Q4 2025 delivered major upgrades across Harness Continuous Delivery, GitOps, and Continuous Verification, focused on safer rollouts, stronger infrastructure integrations, and workflows that scale. Here’s a curated roundup of what shipped and where to learn more. Welcome back to the quarterly update series! Catch up on the latest Harness Continuous Delivery innovations and enhancements with this quarter's Q4 2025 release. For full context, check out our previous updates.

Getting Started with Harness Database DevOps using Flyway

Database changes shouldn’t be manual, risky, or disconnected from your release process. This walkthrough shows how to get started with Database DevOps using Flyway and Harness, bringing versioning, automation, and CI/CD discipline to your database migrations. Flyway enables SQL-first, versioned migrations, while Harness provides governance, pipeline orchestration, and environment visibility so teams can deploy database changes with the same confidence as application code.

Architecting Trust: The Blueprint for a "Golden Standard" Software Supply Chain | Harness Blog

We’ve all seen it happen. A DevOps initiative starts with high energy, but two years later, you’re left with a sprawl of "fragile agile" pipelines. Every team has built their own bespoke scripts, security checks are inconsistent (or non-existent), and maintaining the system feels like playing whack-a-mole. This is where the industry is shifting from simple DevOps execution to Platform Engineering.

Backstage Alternatives: IDP Options for Engineering Leaders | Harness Blog

Backstage alternatives fall into three real choices: build and own a framework, buy a fully managed IDP product, or choose a hybrid path that reduces maintenance but keeps Backstage at the core. The trade-off is not "free vs paid" but engineering headcount, governance maturity, time to value, and how actionable your portal is across CI/CD, IaC, and environments. The best commercial IDPs go beyond catalog and documentation.

(Tech Talk) Shipping with Context Knowledge Graphs as the Backbone of AI-First Software Delivery

Knowledge graphs are essential to solving the context bottleneck in AI-First software delivery, which occurs because workflows, policies, and dependencies are siloed and invisible to AI agents. In this Tech Talk, Prateek Mittal ((Product Director of AI Core and Data Platform at Harness)) discusses the key concepts: Knowledge Graphs vs. Observability: Observability tells you "what is happening," while knowledge graphs tell you "what does that mean" by modeling structured relationships. They work together to link live signals to affected services or SLAs.

Introducing Harness Artifact Registry | Unified. Secure. Built for the Future Artifact Management

Managing build artifacts today is harder than it should be. Fragmented tools, security blind spots, and disconnected developer workflows make it difficult to keep builds safe, consistent, and production-ready. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness Artifact Registry unifies artifact management across the entire software delivery lifecycle — from creation to deployment — while improving security and developer experience.

Qwiet AI Is Now Harness SAST and SCA | Harness Blog

Modern application security is struggling to keep up with AI-driven development and cloud-native scale, especially when security feels bolted onto CI/CD instead of built in. Harness SAST and SCA bring AI-powered application security testing natively into the Harness platform, reducing noise and alert fatigue. By identifying only vulnerabilities that are actually reachable in production code, teams get findings they can trust and act on faster.

Harness AI January 2026 Updates: Human-Aware SRE and Smarter API and Application Security | Harness Blog

Harness AI is starting 2026 by doubling down on what it does best: applying intelligent automation to the hardest “after code” problems, incidents, security, and test setup, with three new AI-powered capabilities. These updates continue the same theme as December: move faster, keep control, and let AI handle more of the tedious, error-prone work in your delivery and security pipelines. ‍