Operations | Monitoring | ITSM | DevOps | Cloud

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.

Today I'm thrilled to announce that Emerge Tools is joining Sentry. Emerge builds best-in-class mobile tooling trusted by some of the most important brands in the world. You’ve probably seen the work of the team through their relentless efforts to improve mobile builds, efforts we’ve always admired here at Sentry. It was no surprise that when we finally met Emerge founders Josh and Noah we found that we shared a similar view of the world and hit it off instantly.

The automation era brought speed. The AI era brings judgment. And now, a new chapter is unfolding—one where infrastructure no longer waits for human instruction but instead governs itself. We’re entering the age of AI-governed infrastructure, the natural evolution of AI operations management. It’s not about replacing people; it’s about eliminating inefficiency, unlocking resilience, and empowering IT systems to heal, respond, and optimize on their own.

The AI chatbot market has grown exponentially since ChatGPT's launch in 2022, with millions of chatbots now in use. At a surface level, AI chatbots are a computer program that simulates human conversation with an end user (IBM). As the market continues to evolve, the differences in their approaches to data privacy, security, and user control have become increasingly important. This is particularly relevant for organizations seeking to leverage AI chatbots while ensuring the protection of sensitive data.

Most Mobile Network Operators (MNOs) prioritized the deployment of 5G RAN infrastructure for both data and voice. Refarming 3G radio spectrum, implementing network slicing, adopting cloud native architectures, and driving automation are key for mobile networks. This blog will explore these ideas and show how Ribbon’s solutions are focused on this accelerated adoption.

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.