Operations | Monitoring | ITSM | DevOps | Cloud

Elasticsearch does a lot right—it's fast, scalable, and makes searches feel simple. But when things slow down or break, figuring out what’s going on can be frustrating. Especially if you’re not keeping an eye on the right metrics. This guide covers Elasticsearch metrics that are worth tracking and how they help you keep your cluster healthy without data overload.

In a distributed system, things break in unexpected ways. That’s why observability isn’t optional—it’s how you understand what’s going on under the hood. If you’re comparing tools to instrument your services, OpenTelemetry and Micrometer are two names you’ll run into. Both are used to collect metrics, but they take very different approaches—especially when it comes to flexibility, vendor support, and what you can do with the data.

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!

Border Gateway Protocol (BGP) remains the backbone of inter-domain routing on the Internet, but its fundamental trust model leaves it vulnerable to misconfigurations, hijacks, and blackholing. When these issues occur, they often go undetected by the impacted networks—until users report degraded performance or service outages. This post walks through a real-world incident in which a legitimate traffic spike led to an upstream provider mistakenly blackholing a critical IP address.

When an alert fires, your goal is clear: fix the problem—fast. But traditional troubleshooting rarely makes that easy. You’re immediately thrown into decision mode: All the while, the clock is ticking. The longer you’re stuck guessing what to do next, the longer your downtime drags on, and the more non-value-added engineering time you burn.

Contributed by Abel Levya, Sales Engineer at ScienceLogic.

As your organization scales its Datadog footprint, you want to understand what’s driving cost changes and promote cost awareness. But to take meaningful action, you need more than a monthly bill—you need real-time, contextualized cost data tied to services and teams. Without this visibility, it’s hard to assign ownership, prevent cost overruns, or identify which changes are affecting spend.