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The latest News and Information on Log Management, Log Analytics and related technologies.

How to Master Log Management with Logrotate in Docker Containers

Docker containers continuously generate logs during operation, and without proper management, these logs can consume significant disk space, impact system performance, and create operational issues. Logrotate offers an effective solution for managing these logs in containerized environments. This guide covers the implementation of logrotate in Docker containers – from initial setup through advanced configurations that ensure stable, maintainable container deployments.

Announcing BYOC and the OpenTelemetry Distribution Builder

Instead of deploying a patchwork of proprietary agents for every platform, a telemetry pipeline lets you route your data through a single, consistent layer—and send it to any backend you choose. Flexibility, achieved. But there’s a catch. If your pipeline is proprietary, you’ve only shifted the lock-in left. Sure, you can now add or swap destinations freely—but you’re still deeply dependent on a vendor in the middle of your data flow.

When Should You Enable Trace-Level Logging?

There’s nothing like debugging a broken system at 2 AM, running on caffeine and frustration. When everything’s on fire, logs are your lifeline. That’s where trace-level logging comes in. Unlike standard logs, it captures the step-by-step execution of your code—think of it as the difference between a crime report and full CCTV footage. But more logs don’t always mean better debugging. Too much detail, and you’re drowning; too little, and you’re guessing.

Essential Steps for Troubleshooting Network Problems

Everyone has a story about that one road trip where traffic got backed up, making people late to the event. When you have network connectivity problems, your information highway gets clogged up, making it difficult for users to access resources efficiently. While network troubleshooting strategies may seem simple, a lot of nuance and complexity lies in the activities when you dig into your data.

Deployment Tracking with Mezmo Live Streaming Tail

You've deployed a new feature into production. You've done your unit testing, fixed lots of bugs, your code is awesome. Now it's time for hundreds/thousands/millions of users to break...err...use your feature. You're diligent about tracking usage in real-time, and getting customer feedback when something goes wrong. You track the performance and response time impacts on the server. All is good...except...that feature isn't quite working for a specific group of users. Now what?

Webinar: Petabyte Scale, Gigabyte Costs: Mezmo's ElasticSearch to Quickwit Evolution

Many engineering teams rely on ElasticSearch for search and analytics, but as data volumes grow, so do the challenges of scale, cost, and performance. At Mezmo, we faced this reality head-on, recognizing the need for a more efficient and scalable solution to support our multi-cluster, multi-petabyte telemetry data backend. After extensive evaluation, we made the leap to Quickwit, an open-source, cloud-native search engine for logs. But making such a fundamental architectural shift—without disrupting customers—was no small feat.
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The Top 5 Security Logging Best Practices to Follow Now

Security logging is a critical part of modern cybersecurity, providing the foundation for detecting, analyzing, and responding to potential threats. As highlighted by OWASP, security logging and monitoring failures can lead to undetected security breaches. With the average cost of a data breach adding up to $4.45 million, most organizations can't afford to miss a security incident.