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

The best observability platforms for developers

At some point, logs stop being enough. As applications grow more distributed, understanding what's actually happening in production becomes harder. That's what observability platforms are built for. The hard part is figuring out which one is actually right for your application — and your budget. This guide covers some popular options: what they do well, where they fall short, and who they're for.

Olly for SREs: 3 ways I actually use it in production

There’s a moment after an alert where you’re not fixing anything yet. You’re trying to answer a much simpler question: Is it actually down? Sometimes it’s obvious. Sometimes it’s 20 alerts at once with no clear starting point. Sometimes it’s a small upstream degradation that might cascade. Sometimes it’s just a spike that resolves on its own. That first phase is orientation. Is the signal real or transient? Is it isolated or spreading? Root cause or symptom?

What's New at Cribl 4.17: On release days, we wear teal.

In this episode, Leon runs through all the updates in Cribl release 2603, which includes a massive update to Cribl Search, the ability to detect PII and secrets in the background as part of Cribl Guard, and two cool enhancements to Cribl Packs - monitoring and enhanced routing. Try Cribl Now! Sandboxes let you get hands-on experience with Cribl without the fuss or friction.

Create a Custom Service Health Board With the Honeycomb MCP

Your software is sending data to Honeycomb. Now where is the dashboard you want? The best dashboard is one created just for your application, or your service, or your team. You can get that in minutes with the Honeycomb MCP. Open your coding agent in your IDE, or on the command line in your code repository. Configure the Honeycomb MCP and authenticate with Read and Write permissions. Now tell it what you want. You can be high-level: Make me a service health board for the frontend service.

Approaching your observability migration with the right mindset

This guest blog post is authored by Nick Vecellio, Principal Engineer and Co-founder of NoBS, a Premier Datadog Partner specializing in hands-on Datadog migrations and optimizations. At NoBS, we help enterprises migrate their observability stack to Datadog. Teams often come to us after a migration has technically “worked,” but the new setup requires optimization tweaks to provide the clarity, reliability, or operational benefits they’re looking for.

What is Agentic Observability?

Agentic observability is the instrumentation and correlation needed to explain and control agent behavior across multi-step workflows. Legacy observability focuses on runtime health and service behavior. You monitor metrics like CPU usage, memory, latency, and error rates to confirm that applications and infrastructure are functioning as expected. When a workflow degrades, the proximate cause is often a crash, timeout, permission error, or resource constraint.

Top 12 AI and LLM Observability Tools in 2026 Compared: Open-Source and Paid

Artificial intelligence has moved far beyond experimentation. In 2026, AI systems are embedded into customer support workflows, clinical decision support tools, fraud detection engines, and internal copilots across nearly every industry. Adoption is accelerating quickly. According to McKinsey, 23% of organizations are already scaling agentic AI systems, while another 39% are actively experimenting with them. Yet the path to reliable production AI remains uncertain.

Observability for Azure Virtual Desktop with SquaredUp

Managing Azure Virtual Desktop doesn’t have to mean jumping between portal blades, logs, and metrics trying to piece together what’s happening. In this webinar, you’ll learn how to design and implement a single, operational observability dashboard for Azure Virtual Desktop (AVD) using SquaredUp Cloud — transforming fragmented telemetry into clear, actionable insight. Whether you're responsible for performance, user experience, or operational stability, this session will give you a structured, repeatable framework for monitoring your AVD estate with confidence.

Full-Stack Observability Is Becoming a Business Imperative

As enterprises accelerate digital transformation, technology performance has become inseparable from business performance. Customer experiences, revenue streams, and operational efficiency increasingly depend on the reliability of complex, distributed systems. In this environment, full-stack observability is no longer a technical aspiration — it is a strategic necessity.

Your Questions About AI-Assisted Development Answered

We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day. These aren't the easy questions, and I don't think there are necessarily easy answers, but I've spent the past year building and shipping with AI coding tools and observing (literally) what happens when that code hits production. Here's what I have.