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

Global data mesh for public sector organizations

The sheer volume of data, often siloed and lacking interoperability, can make it challenging to get a big-picture, accurate view across complex public sector environments. With a global data mesh, you gain fast access to all potentially relevant information, regardless of source, format, or location.

Micro Lesson: Introduction to Sumo Logic Mo Copilot

The video introduces Sumo Logic's Mo Copilot, an AI-powered assistant that simplifies complex query creation using natural language, making it accessible for users of all skill levels. Mo Copilot enhances productivity by providing AI-driven insights and recommendations, allowing teams to detect and resolve incidents more efficiently. It consolidates logs into a unified view, improving collaboration and decision-making. Overall, Mo Copilot transforms the way security and development teams work with data.

The power of cloud native observability

Unstructured data clouding your observability goals? Learn why monitoring alone cannot solve business-critical performance issues as Sr. Director of Technical Marketing Adam White explains how combining structured and unstructured data with real-time analytics unlocks dynamic insights into root cause analysis and performance management in the cloud.

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!

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.

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.