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

The Advanced Data Compression Techniques That Quietly Power Logz.io's AI Observability Agents

As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.

How to Filter Docker Logs with Grep

Managing logs in Docker can quickly become overwhelming, especially when dealing with multiple containers. If you’ve ever tried to sift through a sea of log entries looking for a specific error or debugging message, you know the struggle. Fortunately, you can pipe docker logs output through grep to filter logs efficiently. This guide breaks down how to use docker logs grep it effectively, including practical examples to help you debug and monitor your containerized applications like a pro.

Ubuntu System Logs: How to Find and Use Them

System logs play a crucial role in debugging and monitoring in Ubuntu. When a service misbehaves or an unexpected crash happens, logs hold the answers. They’re also great for keeping an eye on system performance. Knowing how to access, read, and manage these logs can save you hours of troubleshooting. This guide covers everything you need to know about Ubuntu system logs—from where they’re stored to how to analyze them efficiently.

Logz.io Open 360 Platform Overview

Welcome to Logz.io, where we make monitoring, troubleshooting, and optimizing your systems easier than ever. Our AI-driven observability platform helps you: Ingest and manage your logs effortlessly Analyze and visualize data with powerful filtering & alerting Pinpoint root causes instantly with AI-powered RCA Optimize observability costs with DataHub Ensure peak system performance with Kubernetes 360 & App 360.

Solve Problems Faster with New, Smarter AI and Integrations in Splunk Observability

As businesses scale across hybrid and multi-cloud environments and integrate AI-powered technologies, complexity grows — and with it, the risk of performance degradation and cost of downtime. To avoid facing customer-impacting IT issues, organizations need better ways to correlate data across environments, detect anomalies before they escalate, and resolve incidents more efficiently. That’s where Splunk and Cisco come in.

How To Monitor Kubernetes with Splunk Infrastructure Monitoring

Kubernetes is the standard for orchestrating containerized microservices — but it can present some monitoring challenges. Luckily, we’ve already covered why monitoring Kubernetes is a must-do, the basics of how to do it, and the options you have for collecting monitoring data from a K8s environment.

Log Levels: Answers to the Most Common Questions

Logging is essential for understanding what’s happening inside your software. It helps developers and operators catch issues, monitor system health, and track application behavior. A big part of logging is log levels—these indicate how serious a message is, from routine updates to critical errors. In this post, we’ll break down everything you need to know about log levels, how they compare to Syslog log levels, and best practices for making the most of your logs.