Operations | Monitoring | ITSM | DevOps | Cloud

Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.

Ok MCP server, If you’ve been following AI development lately, you’ve probably heard whispers about “MCP Servers” floating around developer circles. It’s been around a little while now, and I myself have finally gotten round to using it. Boy, do we need to talk about it. MCP (Model Context Protocol) is Anthropic’s open standard that lets AI assistants connect directly to your tools and data sources, not just static documentation or code snippets.

Coralogix Transactions are a trace segmentation strategy, unique to the Coralogix platform. They allow users to analyze the performance, over time, of a collection of related spans, across billions of traces. Coralogix has introduced a transactions processor into the OpenTelemetry contrib image, enabling users to activate this unique feature using nothing more than OpenTelemetry configuration.

Log management encompasses the practice of gathering, organizing, archiving, and maintaining access to logs. As devices and services multiply, so does the data they emit. It demands structured systems that can ingest logs in various formats, sort them for clarity, and retain them based on policies set by security, audit, or technical teams. In this blog, you’ll better understand data logging, its use cases, challenges, as well as trends.

When you need to get beyond surface-level metrics and see what users are actually going through when using your web application, LogRocket provides a potent set of tools. It was built with designers, developers, marketers, ecommerce managers, and web site owners in mind and in a nutshell it combines session replay, error tracking, product-level analytics, and AI-driven insight all in one place.

If you’re running AI, ML, or data-intensive workloads on GPUs, monitoring their performance is critical. Overheating, under-utilization, or memory bottlenecks can cost you thousands in cloud bills and potential downtime. This guide walks you through collecting real-time GPU telemetry using nvidia-smi, sending it to Cribl Edge, routing it through Cribl Stream, and using Cribl Search to analyze the data—step by step.

Applying DORA principles to improve software delivery and operational performance with Google Cloud We’re thrilled to announce that Elastic has been honored with the 2025 Google Cloud DORA Award for Architecting for the Future with AI. Google Cloud DORA awards recognize organizations that have demonstrated significant advancements by applying DORA principles to improve their software delivery and operational performance with Google Cloud.