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

Eliminate log sprawl and cut costs with Sumo Logic

How much money is your company wasting on using multiple tools for log ingestion? Security analysts, developers, and operations teams all rely on logs. But, when each team uses different and multiple tools to store and analyze logs, it leads to tool sprawl, wasted resources, and lost critical data. With Sumo Logic’s Log Analytics Platform, you get a single source of truth for all your log data. Gain context-driven insights into your performance, availability, security status, and threats, all while eliminating wasteful spending.

What is Time Series Data?

Time series data is particularly prevalent, seen across numerous different industries and use cases. It offers significant value to various organizations, highlighting the importance of effectively monitoring and analyzing the data. By analyzing and monitoring time series data you can understand trends, patterns, and anomalies in sequential data collected at many points in time.

Understanding Syslog Formats: A Quick and Easy Guide

Syslog is the backbone of logging in many Linux and Unix-based systems, playing a crucial role in monitoring, debugging, and auditing. But not all syslog messages are created equal. Depending on your system, software, and logging configuration, syslog messages may follow different formats. This guide walks you through the different syslog formats, why they matter, and how to work with them effectively.

Log Retention: Policies, Best Practices & Tools (With Examples)

Logs are the backbone of debugging, security, compliance, and performance monitoring. But if you don’t manage retention properly, you’ll either drown in unnecessary data or lose critical insights too soon. Log retention is all about striking a balance between keeping what’s necessary and discarding what’s not.

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.

Grafana Loki 3.4: Standardized storage config, sizing guidance, and Promtail merging into Alloy

The Grafana Loki 3.4 release is here, and it brings a fresh wave of enhancements aimed at standardizing Loki’s object storage, helping you right size your instance, and improving the ability to ingest out-of-order logs. Loki 3.4 also represents the official merging of Promtail into Grafana Alloy as part of our efforts to give our users a single telemetry collector. There’s a lot to go over, so let’s dive in.

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.