Operations | Monitoring | ITSM | DevOps | Cloud

Today, Harness is announcing the General Availability of Artifact Registry, a milestone that marks more than a new product release. It represents a deliberate shift in how artifact management should work in secure software delivery. For years, teams have accepted a strange reality: you build in one system, deploy in another, and manage artifacts somewhere else entirely. CI/CD pipelines run in one place, artifacts live in a third-party registry, and security scans happen downstream.

In the world of enterprise software, the transition from traditional DevOps to modern AI-driven delivery is less like a flip of a switch and more like a high-stakes kitchen. As Devan Shah, Chief Architect at IBM, puts it: the ingredients have changed from food to code, but the need for a precise, governed process remains the same.

Harness is strengthening the open Liquibase ecosystem by introducing a native MongoDB executor that removes long-standing limitations for Community Edition users. It enables teams to run MongoDB scripts, generate changelogs, and integrate database workflows into CI/CD without relying on paid extensions. The initiative reinforces open collaboration while making MongoDB-based database DevOps more accessible, consistent, and production-ready.

Smart test selection, parallel test runs, and intelligent caching can all speed up builds without sacrificing code quality. Fast, focused, and separate unit tests are very important for quick development. They give you feedback right away and make it easier to refactor with confidence. Unit tests are a quick and cheap way to find logic errors, but they can't check how different parts work together. For full coverage, use them with integration tests and end-to-end tests.

Track build duration, queue time, success rate, and cost per build to directly improve developer productivity, control costs, and enhance delivery reliability. Standardize pipeline metadata and automate metric collection to turn raw CI data into actionable insights across teams, services, and cost centers. Pair metrics with intelligent caching, optimized testing, and build acceleration to reduce build times and operational costs while maintaining security standards.

Filtering data is at the heart of developer productivity. Whether you’re looking for failed builds, debugging a service or analysing deployment patterns, the ability to quickly slice and dice execution data is critical. At Harness, users across CI, CD and other modules rely on filtering to navigate complex execution data by status, time range, triggers, services and much more.

NoSQL change control must be integrated into CI/CD to ensure governance, traceability, and deployment safety, while automated versioning, testing, and rollbacks reduce compliance risk and preserve release velocity, enabling structured database DevOps to scale innovation without compromising reliability or audit readiness.

For the last decade, the holy grail of DevOps has been Automation. We spent years writing Bash scripts to move files, Terraform to provision servers, and Ansible to configure them. And for a while, it felt like magic. But any seasoned engineer knows the dirty secret of automation: it is brittle. Automation is deterministic. It only does exactly what you tell it to do. It has no brain. It cannot reason.

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.