Operations | Monitoring | ITSM | DevOps | Cloud

Coralogix adds OTel-based service dependency tracking for distributed systems

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.

Zero-effort alert migration from Prometheus to Coralogix

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.

Why companies keep migrating to Coralogix

As businesses scale, so do their observability needs, but many find themselves stuck with costly, inflexible platforms that no longer serve them. Despite mounting frustrations, the complexity of migration keeps companies from making a change. The risk of losing critical data, disrupting workflows, or rebuilding everything from scratch often outweighs the benefits of switching. Most vendors offer little to no migration support, forcing teams to manually reconfigure dashboards, alerts, and integrations.

Using the OpenTelemetry Operator to boost your observability

If you’ve ever wrangled sidecars or sprinkled instrumentation code just to get basic trace data, you know the setup overhead isn’t always worth the payoff. But what if it was… just easier? That’s where the OpenTelemetry Operator for Kubernetes steps in… and it plays great with Coralogix out of the box!

Why a No-Index Observability Architecture is Essential

When was the last time you asked about the architecture behind your observability provider? For most IT professionals whether in development, operations, or security, it’s not a question that naturally comes up. Yet, this architectural detail could be the difference between insight at scale and runaway costs. People are drawn to the features, the shiny things. They promise to unlock insight, drive faster response times, and tighten security.

Building a Culture of Observability Through Ownership

There’s a problem in engineering culture that we don’t talk about enough: observability is an afterthought. It’s treated as tooling, not thinking. As a checkbox, not a habit. And that mindset gap creates real consequences: longer outages, frustrated teams and massive business costs. Atlassian’s Incident Management for High-Velocity Teams overview cites a 2014 study by Gartner, that the average cost of IT downtime is $5,600 per minute.

Introducing Coralogix Continuous Profiling

Debug faster, improve application performance, and lower your cloud costs - without slowing down production. Traditional profiling solutions come with a heavy price—added latency, excessive resource consumption, and performance degradation. At, we’re changing the game with Continuous Profiling, the first of its kind to offer real-time, kernel-level visibility into application performance without any code changes or production impact.

Introducing Coralogix's AI Center: Real-time AI Observability

Traditional observability wasn't built for. The reason? AI operates in shades of grey, where outcomes are non-deterministic. That's why we built the AI Center, bringing real-time AI observability to thousands of enterprises worldwide. As part of our AI Center, we built an evaluation engine, designed to oversee and detect specific issues that are most common when building AI agents. Teams can choose the evaluators they want to oversee each agent and receive live alerts and reports into specific quality, security and compliance issues.

Istio Zero-Code Instrumentation

Tracing in Istio environments should be seamless, but too often, teams run into a frustrating problem—traces are broken. Requests jump between services, but instead of a complete flow, Coralogix displays fragmented spans. Tracing should work out of the box in those environments. Istio’s sidecars capture spans automatically, so why are traces incomplete? The issue is almost always context propagation, and fixing it doesn’t have to mean modifying application code.

Grafana Alloy: OpenTelemetry, With Some Abstraction Issues

OpenTelemetry (OTel) is supposed to be the great equalizer in observability, giving teams full control over how they collect, process, and store telemetry data. It was built to be open, flexible, and vendor-neutral. Grafana Alloy claims to be OpenTelemetry-compatible, but scratch beneath the surface, and you’ll see that, based on our investigations, it is not a neutral OpenTelemetry Collector.