Operations | Monitoring | ITSM | DevOps | Cloud

We built AI-powered Root Cause Analysis that actually works

Figuring out why things break still sucks. We’ve got all the data: metrics, logs, traces, but getting to the actual root cause still takes way too long. Observability tools show us everything, but they don’t really tell us what’s wrong. So why do we even need to automate root cause analysis? First, time. Outages are expensive. And if your system has hundreds or thousands of services, digging through everything by hand just takes way too long.

AI Smart Search: Find and Filter Your Assets Quicker Using Natural Language!

Say goodbye to tedious manual searches and hello to effortless asset discovery. With Smart Search, you can use natural language queries to find what you need in seconds. Simply type "computers in Buenos Aires" or any other everyday phrase to get instant results. Designed specifically for IT environments, Smart Search understands and processes industry-specific terminology. Learn more about how this feature can simplify your daily operations.

GitKraken Desktop 11.1: AI That Pulls Its Weight

Written by author, adapted by AI Tasteful AI features? Is that even a thing? With GitKraken Desktop 11.1, we think we’ve struck the right balance of adding useful AI capabilities that stay out of your way until you actually need them. In our previous release, we introduced GitKraken AI, which helps explain selected commits and generate commit messages. With 11.1, we’re building on that foundation with two major enhancements that bring even more context-aware assistance to your workflow.

Introducing Git Integration for Jira Cloud: Advanced Edition

Git Integration for Jira (GIJ) is evolving. For over a decade, we’ve helped tens of thousands of organizations bring Git repository activity from any provider into Jira. Soon, our mission will expand beyond connecting Git and Jira—to helping your team cut through the noise and surface the signals that drive better decisions.

The State of SSL Stacks

A paper on this topic was prepared for internal use within HAProxy last year, and this version is now being shared publicly. Given the critical role of SSL in securing internet communication and the challenges presented by evolving SSL technologies, reverse proxies like HAProxy must continuously adapt their SSL strategies to maintain performance and compatibility, ensuring a secure and efficient experience for users. We are committed to providing ongoing updates on these developments.

Internal Developer Platform vs. Internal Developer Portal: Which to Choose?

Discover the key differences between Internal Developer Platforms (IDPs) and Internal Developer Portals and why modern engineering teams need both to streamline DevOps, boost developer productivity, and scale software delivery with confidence.

The cost of IT inefficiency, Sterling Parker, SVP Global Technical Support, Ivanti

What are the major challenges contributing to IT efficiency and IT spending? Sterling Parker, Ivanti Senior VP of Global Technical Support explores the major causes of IT inefficiency and IT spend revealed by the new IT research in Ivanti’s 2025 Technology at Work Report (ivanti.com/TechAtWork). With trillions invested in technology annually, it's crucial for organizational leaders and CIOs to address the major problem of wasteful IT spending caused by issues like tech sprawl, tech debt, and organizational silos.

Flexibility beyond remote vs. in-office debates, Dennis Kozak, CEO, Ivanti

How can companies balance the need for oversight and in-person collaboration with the flexibility and autonomy that many employees grew accustomed to during the pandemic? Ivanti CEO Dennis Kozak shares original research from Ivanti’s 2025 Technology at Work Report (ivanti.com/TechAtWork) to examine how company leadership needs to handle the new return-to-office pressure while still granting employees autonomy and flexibility over their work.

A Guide To AWS Cost Allocation Tags And When To Use Them

Knowing only how much you spent on your AWS bill each month isn’t enough to provide the cost visibility you need to make cost-aware engineering and business decisions. It’s why AWS introduced tags. Tags enable AWS users to label their resources to track cost and usage in the vast AWS infrastructure. Tagging helps you understand who, what, and why your cloud spend is changing.