Qovery Observe is Here: Your Deployments, Your Data, Your Visibility
Monitor your deployments with Qovery Observe: real-time metrics, logs, and events, directly integrated with your AWS applications and containers.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Observabilty for complex systems and related technologies.
How to Responsibly and Effectively Contribute to Open Source Using AI
With the influx of AI tooling, it’s never been easier to contribute to open source communities. These tools are capable of gathering context quickly, “understanding” repositories faster than ever before. They provide instant summaries about repositories that, previously, would have meant reading lines and lines of code. They can fix bugs in programming languages you don’t know, and ultimately allow more contributors to get involved, which (almost) every open source project wants.
Monitor and optimize your systems with Uptrace
Uptrace is your single source of truth for monitoring, understanding, and optimizing complex distributed systems. Proven in production for over five years and trusted by more than a thousand installations worldwide, it lets you see your system like never before. What makes the difference is that Uptrace is pure OpenTelemetry, built natively from day one. This isn't a translation layer—it's a direct connection that eliminates friction and ensures zero vendor lock-in. Your homepage serves as your command center, providing complete visibility across your stack at a glance.
How to Push Prometheus Metrics to Splunk Observability Cloud with the OpenTelemetry Collector
In this video, you’ll learn how to scrape Prometheus endpoints with the OpenTelemetry Collector’s Prometheus receiver and send metrics to Splunk Observability Cloud. We’ll walk through configuring three common data sources (a Python Flask app, node_exporter for host metrics, and the NGINX Prometheus exporter), show how to enrich metrics with resource attributes, and build simple charts in Splunk Observability Cloud. You’ll see how centralized scraping and consistent tagging make it easy to manage and visualize Prometheus metrics in Splunk Observability Cloud.
MCP Design Principles
You can give AI agents everywhere fingers & eyes into your tool or service, by implementing an MCP (Model Context Protocol) server. It’s a great idea! It’s also a new kind of design and engineering. Jessica describes how it’s different from implementing an API or a GUI, and why it’s more exciting than either.
Kubernetes Observability: Your Q&A Guide to Calico Whisker
Getting the most out of Whisker requires understanding its inner workings and this guide is designed to help you master this exciting tool with support from the Calico community. We’ve compiled the most frequently asked questions from our community Slack, support conversations, and CalicoCon sessions. This Q&A covers everything from initial installation tips and version requirements to advanced topics like filtering flow logs and integrating with Goldmane, the powerful API that underpins Whisker.
Memory stall: the agony before OOM
When we set a memory limit for a container, the expectation is simple: if the app leaks memory, the OOM killer steps in, the container dies, Kubernetes restarts it, done. But reality is messier. As a container gets close to its memory limit, allocations don’t just fail instantly. They get slower. The kernel tries to reclaim memory inside the cgroup, and that takes time. Instead of being killed right away, your app just crawls.
Your Next Observability RFP is All Wrong. Why AI Changes Everything
AI-first observability addresses two of the most pressing troubleshooting challenges: complex IT environments and AI-generated code. But understanding how to implement AI in a way that brings ROI, requires cutting through the hype and maintaining realistic expectations, while keeping a forward-thinking vision. In this blog post, we bring practical tips for including AI in your next observability RFP. The article is based on a webinar held with Logz.io founders, CEO Tomer Levy and CTO Asaf Yigal.
Integrating JMX and OpenTelemetry
The OpenTelemetry community and the contributors to the Java Special Interest Group (SIG) have spent a great deal of time integrating core Java technologies into the project. An integration that is particularly useful is Java Management Extensions (JMX). It has been around since J2SE 5, and has been mature for some time. Many of the most widely used Java applications have adopted it over time and support this extension.
The one where we talk about Cribl Guard
Manual hunts for sensitive data are slow, error-prone, and expensive. Cribl Guard combines advanced AI with a human-in-the-loop control point to spot sensitive data, such as credit card, passport, and Social Security numbers, as it flows through Cribl Stream. Whether you’re fully cloud or hybrid, Cribl Guard puts you firmly in control of every piece of sensitive information that crosses your pipes.