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

Your Feedback Becomes the AI Agent's Memory: How OrionIQ AI Agents Learn From You

TL;DR: OrionIQ AI agents, available inside the logz.io platform, now learn from your feedback. Rate any agent run, thumbs up or thumbs down, say why, and the agent re-reads its own run, finds the decision behind the outcome, and writes a lesson. The next run of that agent in your account starts with the lesson in hand. It works for every OrionIQ AI agent, from Alert AI Analysis to scheduled and marketplace agents. Lessons never cross accounts or agents, and you control what the agent keeps.

Cribl On Your Coffee Break Episode 15 - Routes, part 4 and Cribl Packs

Welcome to the end of week 3 of series to help you get started with the Cribl platform. We’re still talking about routing, but through the lens of Cribl Packs, a way of supercharging your path to getting your data in and through Cribl. By the time the month is over, you will have a pretty good idea of what Cribl can do, and how to do it. You’ll also have consumed more caffeinated beverages than is strictly appropriate...

Cribl On Your Coffee Break Episode 14 - Routes, part 3: One-to-Many

Welcome to the 14th installment in our series to help you get started with the Cribl platform. Here, we continue our conversation about Cribl routes and routing techniques By the time the month is over, you will have a pretty good idea of what Cribl can do, and how to do it. You’ll also have consumed more caffeinated beverages than is strictly appropriate...

Log Analysis with Machine Learning: An Automated Approach to Analyzing Logs Using ML/AI

AI log analysis helps IT teams turn massive volumes of operational data into actionable insight. By applying statistical methods, machine learning (ML), semantic analysis, and generative AI, organizations can identify unusual behavior, connect related signals, and investigate probable root causes faster. But AI-generated answers should not be mistaken for proof.

Cribl On Your Coffee Break Episode 13 - Routes, part 2: Many-to-one

Leon is back from the BlackHat conference and it shows (or at least it SOUNDS like it). Despite a little bit of laryngitis, today he’s continuing the exploration of routing by focusing on taking multiple sources of data and using routes to send them to a particular destination. By the time the month is over, you will have a pretty good idea of what Cribl can do, and how to do it. You’ll also have consumed more caffeinated beverages than is strictly appropriate...

September 2026 at Bindplane: Bindplane Agent and a new Overview page

Also this month, a new BDOT 1.107.0 release, and you can start a configuration from a Full-Pipeline Blueprint. Here’s what happened in the last month. Prefer to watch? The September Community Call is streamed live on YouTube. Watch " YouTube" on YouTube Watch.

Bindplane Agent Is Here: Build, Edit, and Understand Pipelines in Plain Language

Pipeline Intelligence already recommends processors, reads live telemetry, detects log types, and generates processor bundles from natural language. But most of it lives inside a single processor node. You still have to know which one to open and what to ask for. This changes today. Bindplane Agent is your AI assistant inside Bindplane, ready to act on what you describe in plain language.

How backend functions extend Cribl Apps: Scheduling, local testing, and logs

See how backend functions extend Cribl Apps with live data retrieval, scheduled jobs, local testing, deployment validation, and logging. In this walkthrough, Giovanni Mola shows developers how to connect app data sources such as Jira and news feeds, manage schedules, preview functions locally, verify a live deployment, and inspect emitted logs in Cribl Search.