Operations | Monitoring | ITSM | DevOps | Cloud

I was thrilled to host our latest tech talk, where we got to do a deep dive into vmanomaly with the best possible guests: Fred Navruzov, the actual team lead for the product, and Co-Host, Matthias Palmersheim. We covered a ton of ground, from high-level concepts to the nitty-gritty of configuration. For everyone who couldn’t make it, I wanted to share my personal recap of the most important technical takeaways from our conversation.

Service Level Objectives (SLOs) are a cornerstone of modern software engineering. Defining alerts around SLOs has become standard practice, but many of the common patterns in use today miss the early signals that can tell a customer before an SLO breach has occurred.

In today’s technological landscape, mobile applications are on the rise, boosting efficiency, portability and accessibility in daily life, across a spectrum of industries, from financial services to food delivery. As mobile apps become more essential, the quality of their features, performance, and user experience is critical.l.

They say what happens in Vegas stays in Vegas—but this year, we couldn’t keep the latest in cybersecurity to ourselves. Though it wasn’t our first time attending Black Hat USA (we’re no strangers to the neon lights and desert heat), our anticipation was high when we landed at LAS. We couldn’t wait to get to the show, connect with security professionals, learn more about where the industry is headed, and put our own solutions to the test.

Every system in your environment—cloud, on-prem, or hybrid—generates log files. They capture everything from user actions to system failures, security events, and performance issues. But with so many log types and so much raw data, it’s easy to get buried in noise and miss what matters.

Data is more than a record of what happened—it shapes what happens next. Across industries, connected devices continuously stream time-stamped data that reflects the current state of machines, environments, and systems. This steady flow gives organizations a live view of operations and the ability to catch issues early, adjust quickly, and operate more efficiently. However, capturing data alone does not create value.

In December 2024 we launched Scribe to help responders never miss a detail from their incident calls. By automatically transcribing calls and highlighting key information, Scribe eliminates manual note-taking, reduces time spent getting up to speed, and preserves valuable context for post-incident analysis. The feature quickly gained popularity among our customers, but with success came an influx of requests for bug fixes, extra functionality, and wider call platform support.

Businesses across industries have fully embraced AI, looking to 10x productivity and supercharge profits. Most companies—78%, according to McKinsey—use AI in at least one business function. But a recent survey by IBM found that only 1 in 4 AI pilots brought about the ROI leadership expected. Even fewer (16%) had been scaled across organizations. The gap is real. Many AI efforts remain stuck in pilot mode or isolated at the edges of businesses.

Containers and microservices are revolutionizing how distributed applications are built, run, and optimized. They enable apps to be highly scalable. You can also isolate some areas for updates and patches without shutting down the entire application or service. Yet, managing containers and microservices at scale can be tricky. That’s where a container management platform like Kubernetes comes in – or, as you’ll see below, where the top Kubernetes alternatives shine.