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

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.

Getting it right with GenAI in financial services: Where to focus in 2025

I attended ElasticON recently where we spent the day with our NYC Elastic community, talking about the combined value of vector databases using retrieval augmented generation (RAG) to feed large language models (LLMs) for next-level generative AI (GenAI) results. Elastic’s CTO and Founder Shay Banon kicked off his keynote with an important message: GenAI is not magic.

A Guide to Logging and Debugging in Java

During the development of your program, you might rely on simple println() statements to trace program execution flows and identify issues in your code. But as projects grow in size and complexity, print statements quickly become messy. A better approach to tracing program execution is logging, an approach that provides a consistent and organized way to track your application’s behavior, allowing you to systematically identify and resolve issues.

AI in Observability: Mapping Root Causes with Precision

Explore how AI is transforming observability by mapping system connections and uncovering root causes with precision. The Logz.io AI Agent analyzes logs, metrics, and service dependencies to provide actionable insights without the need to sift through overwhelming amounts of data.

AI-Powered Log Management: Faster Troubleshooting with Logz.io

Managing logs in a fast-paced cloud-native world can be tough. Log data is growing, and traditional tools just can’t keep up. That’s where Logz.io comes in—a log management and analytics platform powered by AI to make troubleshooting, performance monitoring, and collaboration faster and easier than ever.