Operations | Monitoring | ITSM | DevOps | Cloud

The market is saturated with agents and assistants, making it difficult to tell them apart. However, the difference between these two approaches is significant. They offer radically distinct levels of impact, reflecting major differences in both their technical complexity and the quality of their inferences. Let’s figure out the distinction.

As Bernd mentioned at last year’s OSMC, the Icinga for Windows team was heavy working on v1.14.0 which was going to be released in December. Well, we are off a couple of days, but we believe the wait was worth it!

CIOs, IT leaders, platform engineering managers, and SRE/DevOps teams running multi-tool monitoring stacks who need faster incident clarity.

Christine and I started Honeycomb in 2016, which means it’s been ten years. Christine, a developer, and I, an operations engineer, were both profoundly unhappy with the state of the art in monitoring and logging tools. The tools we had used at Facebook didn’t spray our signals around to a bunch of siloed-off pillars. They consolidated as much context as possible so we could properly explore it, the way every other non-software engineering team already takes for granted.

In the previous post, we looked at how alert noise is rarely accidental. It’s usually the result of sensible decisions layered over time, until responsibility becomes diffuse and response slows. One of the most persistent assumptions behind this pattern is simple. If enough people are notified, someone will take responsibility. After more than fourteen years of working with engineering teams of every size and shape, we’ve seen this assumption fail repeatedly.

Dashboards are supposed to answer questions, not create more of them. But investigations don't stop at a single view. The moment you want to understand one specific thing in detail like a failing VM, a degraded service, a slow pipeline, dashboards start to break down. You end up either building yet another dashboard or searching through many different ones. SquaredUp's Perspectives changes this.

Having been around for a decade, the world's most popular container orchestrator has set a standard for how we run containers at scale. According to the CNCF, cloud-native adoption has reached 98% across organizations, showing that Kubernetes adoption is not slowing down. Whether you are looking to land your first kubernetes role or you are experienced and are looking to brush up on your knowledge, we’ve put together the top questions to learn more about Kubernetes.