Operations | Monitoring | ITSM | DevOps | Cloud

Dependency Firewall for Harness Artifact Registry

Harness Artifact Registry’s Dependency Firewall protects your software supply chain by enforcing security policies at the moment dependencies enter your environment. Instead of discovering risky packages later in the pipeline, Dependency Firewall evaluates every dependency at ingest using policy-as-code and blocks packages that violate security rules.

The governance playbook for mid-market IT teams

The contemporary IT landscape for mid-market organizations is defined by a paradoxical pressure: the mandate to accelerate digital transformation and AI integration while operating under the most stringent cost discipline observed in decades. For firms positioned between the nimble agility of startups and the vast resources of global enterprises, the "complexity of data lineage" and "legacy modernization paralysis" have emerged as primary barriers to progress.

Beyond Mirroring: 5 Reasons Your DevOps Strategy Depends on Repository Federation

For today’s leading enterprise computing environments, the concept of “centralized headquarters” is a relic. Today, R&D happens on different continents, spanning cloud, on-prem and hybrid environments, while stretching across multiple regulatory jurisdictions. But here is the hard truth: Most global organizations are still managing their binaries using legacy mirroring or “blind” infrastructure-level syncing. They treat artifact delivery like a basic file-transfer mechanism.

6 Underused Git Commands That Save Time

Git is full of underused powers that most developers never discover. In this GitKon 2025 session, GitKraken Senior Product Manager Jonathan Silva reveals 6 lesser-known Git commands that solve real workflow pain points, from recovering lost commits to managing stashes strategically. Learn how to undo commits without losing work, recover deleted branches with git reflog, cherry-pick without immediate commits, target specific stashes, see contributor breakdowns, and more. Jonathan also demonstrates how GitKraken Desktop makes these workflows visual and intuitive.

Root Cause Analysis in Software Testing: Methods, Techniques, and How AI Is Changing the Game

If you've ever fixed a bug only to watch it come back two weeks later, you already understand why root cause analysis matters. Patching symptoms feels productive - it's not. Getting to the actual cause is what prevents the same issue from eating your team's time over and over again. This guide covers everything you need to know about root cause analysis (RCA) in software testing: what it is, how to do it, which tools help, and where AI is taking it next.

GitKraken Explains: How AI is Changing Your Commit History

AI commit message generation is fast, accurate, and consistent. It's also missing the most important thing: the why. AI-assisted Git workflows can summarize a diff in seconds, but they optimize for description, not decision-making. In this video, we break down what AI commit messages do well, where they fall short, and how to use them without quietly erasing the context future teammates (and future you) actually need.

Making the Case for Vendor-Backed Puppet Core

Thousands of organizations rely on open source community builds for infrastructure automation. But if you're tasked with certifying, maintaining, and patching those builds yourself, you know the burden firsthand. The reality is that managing open source internally consumes time, introduces risk, and diverts resources from higher-value initiatives. When critical vulnerabilities emerge, your team scrambles to assess, test, and deploy fixes, all while keeping production environments stable.

Introducing Knowledge Discovery in InvGate Service Management

AI in Service Management promises faster resolutions and fewer repetitive tickets. In reality, its performance depends on something far less glamorous: a reliable knowledge layer. Many service desks already have the answers; they’re just buried inside resolved tickets instead of organized in a way AI can use.Turning those resolutions into structured documentation takes time that rarely fits into daily operations.