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

Artificial Intelligence as a Service AIaaS (AIaaS): What is Cloud AI & How Does it Work?

Today, organizations looking to build AI products and services using large language models (LLMs), agentic AI, and generative AI often start by investing in artificial intelligence as a service (AIaaS), also known as cloud AI. AIaaS provides a scalable, flexible, and cost-effective way for businesses of all sizes to access advanced AI technologies without the need for extensive in-house expertise or infrastructure.

Transform and Migrate Logs with Datadog Custom Processor

See how Datadog’s new Custom Processor in Observability Pipelines helps you transform and migrate logs from platforms like Splunk and Sumo Logic with precision and control. This demo walks through real examples of using VRL (Vector Remap Language) to enrich log data, rewrite timestamps, apply quotas, and securely process archives.

Streams: Elastic's New AI That Turns Log Chaos into Clarity

Elastic just made every SRE’s life easier. With the new Elastic Streams, AI automatically organizes, structures, and analyzes billions of logs, helping you find issues, detect anomalies, and fix problems in minutes, not hours. See how Elastic’s deep generative AI core turns chaos into clarity for Site Reliability Engineers and developers worldwide.

Don't count integrations, count dashboards and alerts

Vendors often compete by saying how many extensions or quick start packs they have. The implicit promise is: more integrations equals better observability. But that misses the point. What really matters is the quality and coverage of dashboards and alerts that you actually use to maintain system health, prevent outages and improve user experience. At Coralogix we believe that what you do with integrations is far more important than how many you have.

Meet Olly - The Coralogix AI Observability Agent (Demo)

Olly is Coralogix’s AI-native observability agent that makes observability data fast, accessible, and actionable—for everyone. Traditionally, teams have spent valuable time piecing together dashboards and writing queries to troubleshoot issues. Olly changes that by letting you ask real questions in natural language and delivering instant, intelligent answers from across your logs, metrics, and traces.

Why Your APM Needs Observability - Metrics, Logs, and Traces Explained

Modern software applications are increasingly complex. Microservices, cloud infrastructure, and distributed architectures make it challenging for developers, DevOps engineers, and SREs to maintain high performance and a seamless user experience. Traditional Application Performance Monitoring (APM) provides critical insights into how applications perform, but alone, it often leaves blind spots when it comes to diagnosing issues or understanding the full system behavior.

Clarity in the Dojo: The power of the Summary Agent

In the dojo, not every role is about throwing punches. Some roles are about awareness, the unmistakable voice that tells the fighter when to move, where the strike is coming from, and why the opponent matters. That’s the role of the Summary Agent in Sumo Logic Dojo AI. Unlike a traditional agent, it doesn’t launch queries or carry out actions on its own. Its purpose is to narrate, not act. In doing so, it becomes the foundation for every other decision in the dojo.