Operations | Monitoring | ITSM | DevOps | Cloud

Recently I was asked to offer my opinions on Application Performance Management (APM) and Observability (o11y) - how they overlap, compete, and conflict. I was just one of several folks who's ideas were solicited, so (understandably) some of my thoughts were left out of the original article. HOWEVER, I'm never one to let good words (or at least a lot of words) go to waste, so I thought I'd pull them together here.

You just shipped your latest frontend release. It passed QA, CI ran, and it looked great in pre-production. But now it’s live and users are hitting an unexpected error: TypeError: undefined is not a function in Chrome. Your error tracking tool flags the exception. You get a stack trace, some breadcrumbs, maybe a session replay.

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.

Coroot is excited to feature an editorial from the open source observability database GreptimeDB as an Open Source Spotlight. We hope to improve the work of our global community of SREs and DevOps professionals by sharing exciting projects like GreptimeDB, which make innovation accessible for everyone through the freedom of open source.

Cloud platforms make it incredibly easy to store data. Object storage feels endless, and block volumes can be resized anytime. That’s great, until you check the cost. In some cases, like financial transactions, storage costs are tiny compared to the value of the data. But observability is a different story. Logs, traces, and profiles can be extremely detailed and often take up more space than the actual business data. Yes, there are situations where logs need to be kept for compliance reasons.

We’re proud to announce that Coralogix is now officially ISO/IEC 42001:2023 certified, becoming the first observability vendor to achieve this globally recognized standard for responsible AI management. ISO/IEC 42001:2023 is the world’s first international standard for Artificial Intelligence Management Systems (AIMS). It provides a comprehensive framework for how organizations should govern AI, focusing on transparency, ethical use, accountability, and regulatory compliance.

The complexity and scale of modern infrastructure requires an equally intelligent set of observability tools to effectively monitor it. Remember when scaling meant ordering new servers and racking them in a data center? Remember when cloud providers first offered access to seemingly infinite virtual machines at the click of a button? Remember when Kubernetes made it trivial for infrastructure to automatically scale itself based on demand?