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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Enhancements to Honeycomb Telemetry Pipeline Deliver Greater Visibility, Smarter Control, and Lower Costs

In July, we introduced powerful new Honeycomb Telemetry Pipeline features that helped teams take control of their observability data with safe sampling, flexible rehydration, and a visual pipeline builder. Since then, we’ve built on that foundation. Today, we’re introducing the latest enhancements to Honeycomb Telemetry Pipeline, which give teams deeper visibility into pipeline health, more efficient access to archived telemetry data, and reduced operational complexity.

The "Meh-trics" Reloaded: Why I Was 100% Wrong About Metrics (and Also 100% Right)

Okay, I'm going to say something that would make 2016 Charity want to throw her laptop across the room: we're making a major investment in metrics at Honeycomb. I know, I know. "But Charity, you literally called them ‘shit salad!’" I did. Also "nerfed dimensions." I said they would "fucking kneecap you." For most of the past decade, I've been social media’s most reliable anti-metrics evangelist. Have I repented? No.

Canvas Is Now GA: AI-Guided Observability for Modern Teams

When we introduced Canvas in beta, our goal was to reimagine how teams explore and collaborate around their observability data without requiring manual querying. Canvas has quickly become the AI-guided workspace that helps teams transform raw telemetry into meaningful, shared understanding faster than ever before. And today, we’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.

AI as Monitive's CEO

Recently I've been to Lisbon's Web Summit conference, a 3 day, 70,000 participants, 15 stages, 800+ speakers event. Even though there was a track called "AI Summit", all the talks were about AI and AI Agents and how the future of the web, business, economy is more and more AI, and how businesses and people should take steps to adapt as soon as possible to an online world managed and operated by Artificial Intelligence.

How Datadog Feature Flags is resilient to cloud provider failures

As major incidents like AWS’s October 2025 outage illustrate, modern systems are immensely interconnected. A failure in one can lead to a cascade of downstream problems. In this case, issues with DNS resolution for DynamoDB led to widespread disruptions with other AWS services and, subsequently, thousands of applications and services that rely on that infrastructure.

What is AWS Fargate for Amazon ECS?

As cloud applications moved from VMs to containers and then to microservices, the amount of background work needed to keep everything running grew just as quickly. You gain speed and flexibility, but you also end up managing clusters, scaling rules, and capacity choices that don’t really add to the product you’re building. AWS Fargate steps in right there. It lets you run your ECS tasks without looking after any servers at all.

OTel Updates: Complex Attributes Now Supported Across All Signals

OpenTelemetry now supports maps, heterogeneous arrays, and byte arrays across all signals. Here’s where these new types shine — and where simple primitives still fit naturally. If you’ve been working with OpenTelemetry for a while, you’re likely familiar with the straightforward key-value approach to attributes. It’s simple, fast, and works well with how most telemetry backends store, index, and query data.

Navigating External Outages: How Selector Cuts Through the Cloudflare Noise

Yesterday’s widespread Cloudflare outage reminds us how crucial external dependencies are to the stability of our own applications. When a key edge provider like Cloudflare goes down, the impact on your internal monitoring systems can look like a catastrophic, internal system failure triggering a massive storm of alerts and sending engineering teams into frantic, misdirected debugging sessions.

Why Gaining Control of Your #telemetry Data Is a Game Changer

Disconnected pipelines. Unknown data sources. Costs that do not add up. Many teams struggle to answer a simple question. What data do we have and where is it going? In this clip, a Cribl customer explains how bringing all telemetry data together changed everything. With Cribl, their team can finally see what they collect, where it flows, and what it costs. That clarity unlocked smarter reduction, better routing decisions, and major optimization across security and observability workflows.