Operations | Monitoring | ITSM | DevOps | Cloud

In today’s high-velocity digital ecosystem, visibility isn’t enough. SREs and engineering leaders need real-time insights, actionable signals, and automated workflows to operate at scale. As systems grow more distributed and cloud-native, the demand for intelligent observability and security has never been higher. Extensions are solutions to get instant observability with prepackaged parsing rules, alerts,dashboards and more.

When assessing SaaS observability solutions, customers often explore features that are built into the platform, but there ia a whole collection of deployable libraries across all SaaS vendors. In Coralogix, we lead the way in deployable assets, with 4400+ alerts, dashboards, parsing rules, metric generation rules and more. But why should you care about these deployable assets, and why do they accelerate insight generation so profoundly?

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.

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.

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.

When something breaks in your application, a slow page, a spike in errors, or a drop in engagement, the typical response is to chase the symptoms. But what if we flipped that process? What if we started not from user complaints, but from actual performance measurements, collected from real sessions in real time? That’s exactly the idea behind Coralogix RUM Measurements.

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.

Coralogix has released a new flagship service management product, the SLO Center. The SLO Center allows customers to define service level objectives (SLOs) for their teams. SLOs can be defined across multiple services or metric streams. Powered by the Coralogix Streama engine, this unlocks full coverage SLOs for every team, regardless of volume and with very high cardinality limits.