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

Why Observability Needs AI: Revolutionizing Monitoring for Modern Complex Systems

In this insightful talk, Asaf Yigal, Co-founder and VP of Product at Logz.io, shares the turning point in observability: addressing the growing complexity of modern environments with AI-driven solutions. From Kubernetes to multi-cloud infrastructures, traditional observability tools fall short in solving complex problems. Discover how Logz.io leverages artificial intelligence to simplify monitoring, enhance troubleshooting, and revolutionize how companies tackle observability challenges. Learn why smarter, AI-powered tools are the future of observability.

Introducing GenAI for Observability: Root Cause Analysis Made Easy

Discover how Logz.io is transforming observability with GenAI, enabling you to troubleshoot complex problems and optimize cloud configurations effortlessly. In this video, we showcase how GenAI leverages your data to perform advanced root cause analysis, automating the process of identifying and resolving exceptions in modern, complex environments. Learn how GenAI analyzes deployment changes, workload patterns, and configuration updates to provide a detailed report in under a minute. Say goodbye to manual troubleshooting and hello to smarter, AI-powered insights.

The Future of Observability: Embracing Change with AI-Driven Insights

Discover how AI is revolutionizing observability and transforming the way we work. In this insightful talk, we explore the parallels between the adoption of Google search and the shift toward natural language-driven observability. Learn why outdated methods like manual graphs, alerts, and extensive data storage are becoming obsolete. It’s time to embrace change, ask questions naturally, and get the answers you need—effortlessly.

Revolutionizing Root Cause Analysis with Generative AI: The RAG Approach and Multi-Agent Models

Explore how cutting-edge Generative AI techniques are transforming root cause analysis and troubleshooting. This video dives into the innovative use of the RAG (Retrieval-Augmented Generation) approach to combine past data with real-time information and multi-agent models for dynamic problem-solving. Learn how AI agents ask follow-up questions, analyze data, and deliver highly accurate results like never before.

Observability Insights From KubeCon 2024 - Summary

In this video, I’m breaking down the biggest themes and key takeaways from KubeCon 2024’s observability sessions. From OpenTelemetry’s growing role as the standard for telemetry data to how AI and continuous profiling are shaping the future of proactive, scalable and cost-effective observability. If you missed KubeCon 2024 or want to stay on top of observability trends, this recap will get you up to speed in just a few minutes.

APAC in 2025: A Harder Look at AI, Data and Cybersecurity Standards

This year has been transformative for technology, reshaping the business landscape with groundbreaking advancements and unprecedented challenges. Generative AI continues to unlock new possibilities, while cybersecurity threats have escalated to new heights. Across APAC — a fast-emerging global innovation hub — businesses have grappled with the twin forces of regulatory evolution and technological breakthroughs.

Learn SPL Command Types: Efficient Search Execution Order and How to Investigate Them

When performing searches, Splunk uses its own language, SPL (Search Processing Language). SPL commands can be categorized into several types depending on the processing they perform. Especially in a distributed environment where the Splunk system is made up of multiple servers, if you do not understand which components perform heavy processing depending on the SPL type, you may create inefficient searches.