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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Lunar-level observability: How Firefly Aerospace used Grafana to monitor its historic moon landing

On March 2, 2025, Firefly Aerospace made history. The company — a space services firm that offers safe, reliable, and economical access to space — completed the first fully successful lunar landing by a commercial provider with its Blue Ghost Mission 1. But behind the headlines and highlight reels was a team of dedicated engineers, years of preparation, and a mission control center outfitted with Grafana dashboards.

Successful Launch - Then Came The Problems

About 15 years ago, I worked at a company building network security appliances (with ARM-based network processors) and was responsible for the development of custom Linux firmware. The product launch was successful; we shipped and managed a large fleet of devices in the field. After a few firmware releases, we received alerts from the device management system telling us that there were intermittent problems. Remoted into the appliances but could not reproduce the error.

How IPM helped a top tech brand catch an OpenAI outage before it became a crisis

Today’s digital businesses are more interconnected than ever. Industry research shows that 74% of organizations now take an “API-first” approach, and the average application is powered by between 26 and 50 APIs. While this accelerates innovation, it also introduces new risks: when an external provider fails, the impact can be immediate and far-reaching.

How to Collect .NET Application Logs with OpenTelemetry

Observability is essential for maintaining and scaling modern applications. With.NET 8, Microsoft has enhanced support for observability using OpenTelemetry. In this post, we explore how to monitor.NET 8 applications logs with SigNoz, an open-source observability platform, using the OpenTelemetry Protocol (OTLP) exporter.

Mastering NodeJS Performance Monitoring - A Practical Guide using Open Source Tools

Node.js powers some of the fastest-growing web applications, but its single-threaded nature makes it vulnerable to memory leaks and CPU spikes. To keep your app running smoothly, especially in production, you need more than just web server logs — you need complete visibility across the entire stack.

Top 15 Distributed Tracing Tools for Microservices in 2025

In one of our previous blogs, we discussed distributed tracing in depth. We examined why distributed tracing is critical and its components - spans and trace context. You can check the complete guide here: What is Distributed Tracing and How to Implement it with Open Source? Here, we'll look at some of the best distributed tracing tools. We'll see what each of them offers so that you can choose the right tool for your monitoring and observability requirements.

Top 13 Open Source APM Tools [2025 Guide]

Choosing the right APM tool is critical. How do you know which is the right one for you? Here are the top 13 open-source application performance monitoring(APM) tools that can solve your monitoring needs. Open-source APM tools have added benefits over their SaaS counterparts. They are more transparent, as you can verify their source code, and you can use them without going through the pains of obtaining approvals usually required for using a third-party vendor tool.

Top 5 Open Source Log Management Tools (and How to Choose the Right One)

Managing logs at scale is no longer just about storing text—it’s about gaining insights fast, keeping systems healthy, and troubleshooting in real time. With cloud-native architectures becoming the norm, the pressure is on for modern teams to adopt log management tools that are fast, scalable, and easy to use. But with so many options, how do you choose the right one?

The One Where We Show You Copilot Editor

Copilot Editor is like an AI-powered Rosetta Stone for telemetry. It helps Cribl users take raw, messy telemetry data and turn it into standardized, analytics-ready formats. The most important piece? It puts YOU in control. Our human-in-the-loop design means that users have full control over and visibility into what’s happening with their critical data, preventing AI-induced mistakes. Watch this fun demo with the AI product team to show Copilot Editor's true value to the average Cribl user!