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The latest News and Information on Observabilty for complex systems and related technologies.

Agent Observability FAQ: Understand the value of monitoring, evaluating, and improving your AI agents

Agents have quickly become part of the tech landscape as organizations embrace AI across their businesses. But embracing agents also means embracing the monitoring best practices that have long been part of engineers' workflows: tracking performance, catching errors, and responding to incidents But it doesn't stop there. Agents also introduce new challenges.

Cribl Detect: A new way to SIEM

Cribl Detect helps security teams use an open, platform-first architecture for SIEM workflows, including compliance, detection, investigation, and response. This video explains how Cribl Detect combines telemetry pipelines, real-time detection, structured search, federated investigations, long-term retention, and open integrations.

Operationalizing Microsoft 365 Copilot: Compliance, security, and scale

Unmonitored AI is a massive organizational blind spot. Join Cribl's Field CISO, Ed Bailey, and Senior Product Manager, Daniel Pan to learn Cribl can help you affordably collect and store Microsoft 365 Copilot prompts and responses and share that data across your IT and Security teams to meet compliance requirements and gain real AI observability. We'll cover how to scale collection with less effort and build the AI-ready data architecture that solves today's challenges and sets you up for what's next.

Community Stories: Coroot at the Stanford University Libraries

Coroot was designed to solve the problem of time-consuming root cause analysis. It handles the full observability journey - from collecting telemetry automatically with zero code setup (thanks, eBPF!) to simplifying the role of SREs and DevOps everywhere with instant root cause analysis powered by AI. We also strongly believe that simple observability should be an innovation everyone can afford to benefit from: which is why our software is open source!

Introducing AI Observability: Trace Every AI Agent Request from Prompt to Pod

TL;DR Logz.io AI Observability provides end-to-end tracing for AI agents and LLM applications. Built on OpenTelemetry, it lets you trace every request from prompt to backend service, visualize multi-step agent execution, isolate root causes across models and infrastructure, and track token usage per step, all alongside your existing logs, metrics, and traces.

On Release Days We Wear Teal for release 4.20.3

In this episode, Leon sugars up and then opens the wrapper on the sweetest new bites in the Cribl candy dish - Cribl Detect, updates to Apps including app certification, a new way to use Terraform to automation Cribl rollouts, notifications for data loss, and a name change - along with our running Crib-bits and New-2-U segments. For more information, check out these links.

Our Limits Are Not Our Imagination

Yesterday, my partner told me about his new automated pipeline from a conversation recording to publication of a whole podcast, with social media blurbs and graphics and everything. It did more than he'd predicted the agent could do. "We are limited by what we can imagine," he said. Cheesy, but it kinda gave me goosebumps because it's (almost) true. Most of the experienced developers I know are concerned.

Service Mesh Observability: Istio, Linkerd and Envoy Metrics

Service mesh observability guide: the metrics Istio, Linkerd and Envoy proxies emit, what ambient mode changes, and why tracing still needs app changes. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.