Operations | Monitoring | ITSM | DevOps | Cloud

With all the discussion in the dev community lately about changes made at Heroku, we wanted to use this moment to talk about PaaS (Platform as a Service) providers and how AppSignal can be a vital tool to ensure you're using your app's hosts for everything from optimal performance to lower usage bills.

A lot of talk around OpenTelemetry has to do with instrumentation, especially auto-instrumentation, about OTel being vendor neutral, being open and a defacto standard. But how you use the final output of OTel is what makes business difference. In other words, how do you use it to make your life as an SRE/DevOps/biz person easier? How do you have to set things up to truly solve production issues faster?

Today we're announcing that Sentry has acquired XcodeBuildMCP, an open source MCP server that gives AI agents the ability to build, test, and debug native iOS and macOS apps. XcodeBuildMCP has become a go-to tool for agentic Apple-platform development, with more than 4,000 GitHub stars and an active community. It unlocks the full developer loop: build, run, debug, interact, and verify, allowing users to stay in their preferred agentic development environment.

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.