Operations | Monitoring | ITSM | DevOps | Cloud

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.

Deployments should drive your product forward, not slow you down. Yet too often, teams spend hours digging through logs, dashboards, and error reports just to answer a simple question: did the release go smoothly? Coralogix’s new Versions feature answers this in a single click, letting teams spend more time building and less time investigating.

Kubernetes has rapidly grown in adoption, with more than 84% of surveyed users evaluating or actively using Kubernetes in some way. It has become the go-to container orchestration deployment. As we grow the Coralogix platform, we continuously go back and improve flows that we believe will have a high impact on our user base.

As we cruise through 2025 with momentum from our recent $115M Series E raise, the launch of Olly (our AI agent for observability), and our recognition as a Visionary in Gartner’s Magic Quadrant for Observability Platforms, we’re excited to celebrate another major milestone – earning 188 badges in the G2 Summer 2025 reports! At the heart of every G2 badge we earn is the voice of our customers, and their continued trust is what drives us forward.

Modern systems generate enormous amounts of telemetry. The hurdle is collecting clean, connected traces without rewriting code or babysitting a fleet of language agents. That’s why Coralogix backed eBPF from the start. eBPF (extended Berkeley Packet Filter) executes sandboxed programs inside the Linux kernel, without modifying kernel source code. This method allows probes to see every request, at runtime with no instrumentation, and with near zero per‑request overhead.

When I spoke at AWS London earlier this year, I had the chance to discuss something that more and more teams are starting to feel: traditional observability doesn’t cut it for AI systems. In AI, “Is it running?” is no longer enough. We have to ask, “Is it right?” When I delivered that line, I saw the heads nodding. Everyone’s excited to build with LLMs, but when it comes to actually monitoring them in production? That’s where things fall apart.

Now available: Secure, real-time access to your observability data via Coralogix’s Model Context Protocol (MCP) Server. AI agents are only as powerful as the context they’re given. Today, we’re excited to announce the launch of the Coralogix MCP Server, which enables third-party AI agents to connect directly to your observability data across production, staging, and other environments.

Today marks an exciting moment for all of us at Coralogix. We’re proud to share that Gartner has named us a Visionary in the 2025 Magic Quadrant for Observability Platforms. This recognition, we believe, reflects what we’ve been building toward for years: an observability platform that delivers scale, cost-efficiency, AI-powered insights, and tangible customer success.

Coralogix is proud to announce a new phase in its partnership with AWS through a Strategic Collaboration Agreement (SCA) focused on bringing AI-powered observability and security to the enterprise. At the heart of this collaboration is Amazon Bedrock, AWS’s managed service for foundation models.