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

The problem with traditional log management

Logs are everywhere and contain valuable information that can make or break everything from security investigations to avoiding an outage, but legacy log management systems are inefficient for modern organizations generating more data than ever before. Sr. Director of Technical Marketing Adam White offers guidance on the pitfalls of traditional log management and what your organization can do today to jumpstart your digital transformation journey!

Reimagining Log Management Tools and Software: The Impact of AI and GenAI

Today’s distributed, cloud-native systems generate logs at a high rate, making it increasingly difficult to derive actionable insights. AI and Generative AI (GenAI) technologies—particularly large language models (LLMs)— are transforming log management tools by enabling teams to sift through this data, identify anomalies, and deliver real-time, context-rich intelligence to streamline troubleshooting.

Why Data Tiering is Critical for Modern Security and Observability Teams

In today's digital landscape, security and observability teams face an unprecedented challenge: managing massive volumes of data while maintaining both performance and cost-effectiveness. As organizations generate more data than ever before, the traditional approach of storing everything in high-performance, expensive systems is becoming unsustainable. How will your team evolve how it manages and uses telemetry data across the enterprise?

What Are Syslog Levels and Why Should You Care?

Syslog is a foundational part of logging in Linux and Unix-based systems, helping engineers efficiently capture and analyze system events. Among its core components, syslog levels play a crucial role in categorizing logs based on their severity. Understanding these levels can significantly improve troubleshooting, monitoring, and alerting strategies.

Error Logs: What They Are, Why They Matter, and How to Use Them

Whether managing a web application, monitoring an API, or tracking system performance, error logs are your first defense in troubleshooting and improving your systems. However, understanding them beyond the basics can make all the difference in diagnosing complex issues and enhancing the overall user experience. In this in-depth guide, we’ll explore everything you need to know about error logs, including how to read them, why they matter, and some tricks to make them work for you.

The Power of Structured Logging: Why It Matters in Modern Development

Structured logging has emerged as a crucial aspect of modern application development and monitoring. Unlike traditional logging, structured logging organizes log data into a defined format, often in JSON or XML, making it easier to parse, search, and analyse. This practice simplifies troubleshooting, enhances observability, and supports seamless integration with monitoring tools.

The Importance of Data Normalization for Log Files

Imagine sitting in an airport’s international terminal. All around you, people are talking to friends and family, many using different languages. The din of noise becomes a constant thrum, and you can’t make sense of anything – not even conversations in your native language. Log data is similar to this scenario. Every technology in your environment generates log data, and information about the activities happening from logins to processing.

Generative AI QE: Insights from testing Sumo Logic Mo Copilot

Generative AI is transforming industries by automating tasks and delivering AI tools, such as AI assistant Sumo Logic Mo Copilot, to enhance operational efficiency. But, these advancements also challenge traditional quality engineering (QE) methodologies. Unlike conventional software testing, AI models produce dynamic, context-sensitive outputs, requiring a new approach to validation and testing. At Sumo Logic, we faced similar challenges while testing Mo Copilot.

Comparing Azure NSG and VNet Flow Logs

Phil Gervasi compares Azure NSG Flow Logs and VNet Flow Logs, explaining the benefits VNet Flow Logs bring to network observability in Azure environments. Learn how VNet Flow Logs simplify network monitoring, improve traffic visibility, and address the limitations of NSG Flow Logs by capturing traffic at the virtual network level. Learn about VNet Flow Log applications—including traffic analysis, network optimization, and security enhancement—and how Kentik integrates with these logs for deeper insights and advanced analytics.