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

Life after SaaS: Enabling the System of Context

By: Tucker Callaway, CEO at Mezmo The market keeps saying “SaaS is dead.” That’s probably true, but it’s also incomplete. What’s actually dying is the idea that value lives inside a vendor-controlled black box. The next era is about utilities: unlimited coding capacity and unlimited analytical capability. And if those two utilities are real, then the vendor model has to change.

A new way to SIEM

For years, security teams have been sold the same bargain: send in more data, buy more tools, tune more rules, and you'll be better protected. In practice, a lot of teams have ended up with the opposite. They're carrying more cost and more complexity, and they still don't have much confidence that their detections are actually working the way they should. That's the backdrop for why Cribl is acquiring CardinalOps.

How Does a Configuration Item Fit Into Your CMDB?

In this video, you'll learn what a Configuration Item (CI) is, how it forms the foundation of a CMDB, and why connecting CIs helps IT teams understand dependencies, improve visibility, and resolve incidents faster. Discover how CIs transform scattered asset data into a complete, connected view of your IT environment. Whether you're an IT Manager, IT Administrator, Service Desk Analyst, ITSM Professional, Infrastructure Engineer, or IT Operations Leader, this video explains why Configuration Items are essential for effective IT Service Management.

What Is Synthetic Monitoring and Why Does It Matter?

A website can look healthy on your dashboard and still fail when customers try to use it. So how do you catch problems before anyone notices them? In this video, you'll learn what synthetic monitoring is, how it works, and why IT teams use it to detect website and application issues before they impact real users. Discover how automated user journeys help you monitor availability, performance, and critical business transactions 24/7.

Part II: Inside Alert AI Analysis: From a Single-Agent Prompt to an Agent Harness

TL;DR: This is the engineering companion to our announcement post, Upgraded Alert AI Analysis: Automated Incident Investigation, read that one for what the new generation does for your team; read on for how it works under the hood. Interested in hearing more? Book a demo to see the Alert AI Analysis Agent live. Root cause analysis is one of the harshest tests you can give an AI.

Upgraded Alert AI Analysis: Automated Incident Investigation

TL;DR: OrionIQ has launched the next generation of its Alert AI Analysis agent within the Open 360 AI platform, designed to automate and accelerate incident investigation. Key features of this evolution include: Agent-Based Investigation: Instead of relying on a single prompt, the system coordinates specialized AI agents to correlate data across diverse sources like logs, metrics, deployments, and tickets.

Unified Logs, Traces, and Errors: Why One Tool Beats Three

Last updated: July 2026 Your Rails app throws a 500. You open Sentry and find the exception. The stack trace points to a controller action, but it does not tell you why the database call failed. You switch to Datadog and search for the request trace. The trace shows a 3-second query, but you do not know what the application was logging at that moment. You open your log aggregator, paste in the request ID, and scroll through output until you find the slow query log line that explains the lock contention.

When Does a Self-Service Portal Actually Reduce Tickets?

A self-service portal is designed to reduce IT support tickets by enabling employees to solve common issues on their own. But if self-service is supposed to improve efficiency, why do so many portals remain unused while help desk queues continue to grow? In this video, you'll learn what a self-service portal is, why many organizations struggle with low adoption, and the three key factors that determine whether your portal actually reduces ticket volume.