Operations | Monitoring | ITSM | DevOps | Cloud

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.

As organizations begin to scale their observability strategy, point and click methods of management become increasingly unworkable. This is why Coralogix has now fully released the Coralogix Operator for Kubernetes. Kubernetes operators are control loops that allow users to declare their desired state in their Kubernetes clusters, and the operator is responsible for resolving this state.

Observability is about much more than dashboards and alerts. Extensible platforms that integrate into the user’s tech stack are fundamental parts of a great developer experience. This is why Coralogix has supported gRPC APIs for account management, data ingress & query, alert definition, dashboard creation, permissions management and more. Today, Coralogix adds a new integration, with the launch of OpenAPI endpoints for all existing functionality.

Coralogix has released its APM Dependencies feature. This feature automatically surfaces and maps the relationships within and between your software and external services. It allows fine grained tracking of which endpoints within your APIs, depend on other endpoints, or external services and database tables.

Having spent two decades in technical leadership, I’ve seen first hand what separates great development teams from merely good ones. It’s not about the number of features shipped or the elegance of the codebase — it’s about the ability to consistently deliver value to the customer through really great user experience.