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

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!

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.

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.