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

What Comes After Observability?

Jul 20, 2026 By Austin Parker In Honeycomb

A year ago, I wrote “It’s the End of Observability (and I Feel Fine).” The upshot of that post was that AI was about to fundamentally change the way we approach systems design and operation in the future. In the grand tradition, I’d like to revisit my claims from then and see how my predictions panned out.

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What Is LLM Observability? A Complete Guide

Jul 20, 2026 By Ramya Shah In Motadata

If you run LLM features in production, your most dangerous failures are the ones your monitoring never flags. Your LLM feature passed every test, and the demo went great. Three weeks after launch, a support ticket lands: the chatbot quoted a refund policy that does not exist. The dashboards are all green, and the same prompt answers correctly when you retry it. This is the blind spot LLM observability exists to close. Your existing tools saw the request come back fast with a clean status code.

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Powerful On-Premises Observability: A Complete Guide for Modern Enterprise Applications

Jul 20, 2026 By Mohana Ayeswariya J In Atatus

Enterprise applications don't fail quietly anymore. A single checkout flow might touch a dozen microservices, three databases, a message queue, and two external APIs before a customer sees a confirmation screen.

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Atatus

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Best PR Review Tools for AI-Generated Code (2026)

Jul 20, 2026 By Lightrun Team In Lightrun

Most PR review tools answer one question: does this code look correct? They scan the diff, flag known patterns, catch security violations, and post inline comments before merge, which is useful, but only half the review. The other half is behavioral: does the code actually behave correctly once it’s running against your live system?

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Why partners love working with Cribl

Jul 20, 2026 By Cribl In Cribl

Hear directly from Cribl partners—including AWS—about what it’s really like to work together. This short is for technology and cloud partners, consulting firms, and customers who want a quick, human view of Cribl’s partner ecosystem and the value it delivers. In under two minutes, partners highlight Cribl’s partner program, the people they work with, and the outcomes they’re delivering for joint customers. You’ll hear about the FedRAMP opportunity, why “it’s all about the data” for AWS, and how Cribl helps get data where it needs to be for shared customers.

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30 to 70 PRs a Day: How We Managed to Not Wreck Our Systems

Jul 16, 2026 By Liz Fong-Jones In Honeycomb

In this two-part blog series, I give a detailed report-out on how our Honeycomb engineering team 2.5x-ed our throughput using AI without breaking everything or lowering our standards for quality. Part 1 explains how we did it and shows data about how that ramp-up happened. Part 2 shares what we learned.

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AI Amplifies Your Existing Practices: Lessons from Our Shift to an AI-First Strategy

Jul 16, 2026 By Liz Fong-Jones In Honeycomb

In this two-part blog series, I give a detailed report-out on how our Honeycomb engineering team 2.5x-ed our throughput using AI without breaking everything or lowering our standards for quality. Part 1 explains how we did it and shows data about how that ramp-up happened. In this blog, I share what we learned. The “platform engineering” frame and the “autonomy, ownership, feedback loops” frame are the same frame, spoken in two different vocabularies.

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Transforming How We Run Kafka at Honeycomb

Jul 15, 2026 By Josh Parsons In Honeycomb

We recently wrapped up a large-scale, multi-month Kafka migration project. We used to run self-hosted Confluent Platform and ZooKeeper as clusters of AWS EC2 instances, and now all of our Kafka clusters run open-source Apache Kafka 4.1.1 running in KRaft mode and deployed to AWS EKS.

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Datadog named Leader in 2026 Gartner Magic Quadrant for Observability Platforms

Jul 15, 2026 By Datadog In Datadog

We are thrilled to announce that Datadog has been named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms, for the sixth consecutive year. We believe this recognition reflects our continued focus on helping customers observe, secure, and act on everything that matters across their technology stack. Datadog was positioned highest in Ability to Execute in the 2026 Gartner Magic Quadrant for Observability Platforms.

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Grafana Labs named a Leader again in the 2026 Gartner Magic Quadrant for Observability Platforms

Jul 15, 2026 By Robin Gustafsson In Grafana

We’re delighted to share that Grafana Labs has been named a Leader in the Gartner Magic Quadrant for Observability Platforms for the third consecutive year. Notably, we’re also positioned furthest in “Completeness of Vision” for the second year in a row.

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