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The latest News and Information on Observabilty for complex systems and related technologies.

How to reduce Cloud Costs (with Open Source!)

We strongly believe that simple observability should be an innovation everyone can afford to benefit from: which is why Coroot is open source, and includes cost monitoring for Azure, GCP, AWS, or your own custom settings. eBPF automatically tracks how each deployment impacts your cloud costs, so you can easily roll back changes and avoid lovecraftian monthly bill when necessary.
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The Network-First Advantage: How Fabrix.ai Redefines Observability from the Ground Up

Modern enterprises today often find themselves in a peculiar predicament: they are drowning in a deluge of telemetry data—including logs, metrics, and traces—yet paradoxically remain blind to what truly matters. Despite making substantial investments in observability tools, teams frequently find themselves reacting to incidents rather than proactively preventing them, with alerts flooding dashboards often devoid of critical context.

Ensure trust across the entire data life cycle with Datadog Data Observability

As data systems grow more complex and data becomes even more business-critical, teams struggle to detect and resolve issues that impact data quality, reliability, and, ultimately, trust. Engineers have to rely on manual checks and ad hoc SQL queries to catch data quality issues—often after teams relying on the data have noticed something has gone wrong.

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.

Smarter Telemetry Pipelines: The Key to Cutting Datadog Costs and Observability Chaos

Log volume is exploding, costs are rising, and most teams are stuck duct-taping together short-term fixes. During our webinar, "Optimizing Log Management in Datadog: Cut Costs Without Losing Insights," we discuss how DevOps and engineering leaders are navigating the growing pains of observability, especially in environments where tools like Datadog are mission-critical but challenging to manage. Here’s a recap of the key takeaways.

It's The End Of Observability As We Know It (And I Feel Fine)

In a really broad sense, the history of observability tools over the past couple of decades have been about a pretty simple concept: how do we make terabytes of heterogeneous telemetry data comprehensible to human beings? New Relic did this for the Rails revolution, Datadog did it for the rise of AWS, and Honeycomb led the way for OpenTelemetry.

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!

Top Features of Splunk Observability Cloud for Engineers

In this video we’ll walk you through a demonstration of Splunk Observability Cloud’s key capabilities. You’ll see how you can monitor Kubernetes cluster health in Infrastructure Monitoring, and alert on your services’ health using AutoDetect Detectors and Alerts. We’ll then take a look at traces and metrics in APM, and use Related Content to find correlated log entries of error traces. Then we’ll use AlwaysOn Profiling to troubleshoot long duration traces for our service.