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

honeycomb

What's Special About MCP?

Nov 24, 2025 By Jessica Kerr (Jessitron) In Honeycomb
AI agents can interact with the world using tools. Those tools can be generic or specific. For example: Generic: Specific: The most general ones, like “run a bash command” and “read and write files” are built into the agent. More specific ones are provided through Model Control Protocol (MCP) servers. Every tool provided to the agent comes with instructions sent as part of the context.
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How to Monitor Java Applications on Windows with SolarWinds Observability | APM Setup Guide

Nov 24, 2025 By solarwindsinc In SolarWinds
This video provides a step-by-step walkthrough for configuring monitoring for Java applications running on Windows using SolarWinds Observability. The demonstration covers the complete process—from adding a new service to instrumenting the application with the Java APM library and verifying connectivity. Topics covered in this video include: This guide is designed for developers, DevOps engineers, and system administrators who need to instrument Java applications on Windows for performance monitoring, distributed tracing, and full-stack observability.
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last9

Top 7 Observability Platforms That Auto-Discover Services

Nov 21, 2025 By Anjali Udasi In Last9
You can use an observability platform that automatically discovers your services and provides ready-to-use dashboards with minimal setup. If you're running a system where microservices come and go, containers shift around, or serverless functions scale up quickly, this kind of experience saves you a lot of time. You gain visibility as soon as something goes live, without requiring any additional steps on your part. In this blog, we talk about the top seven platforms that offer these capabilities.
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Data Observability: Build confidence in the data life cycle

Nov 21, 2025 By Datadog In Datadog
Datadog Data Observability provides a complete solution with quality checks (e.g., volume, row changes, freshness), custom SQL-based monitors, anomaly detection, column-level lineage across systems like Snowflake and Tableau, full pipeline visibility, and targeted alerts when data issues arise.
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Search Telemetry Without Limits in a Multi Cloud and AI World

Nov 20, 2025 By Cribl In Cribl
Cribl Search gives you one lens across all your telemetry data no matter where it lives. Instead of forcing teams to move data into one system or jump between tools, you get a familiar pipe based query experience with dashboarding and alerting built in. Storage and query processing stay separate so you decide where your data lives while your users get fast, simple access in one place.
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datadog

Use OpenTelemetry with Observability Pipelines for vendor-neutral log collection and cost control

Nov 20, 2025 By Micah Kim In Datadog
Today, many DevOps and security teams operate in a world of complex, hybrid, or multi-vendor environments. As more teams look to avoid lock-in by adopting open standards, OpenTelemetry (OTel) is quickly gaining adoption as the primary open source method for DevOps and security teams to instrument and aggregate their telemetry data. However, OTel alone may lack the advanced processing functions, native volume control rules, and hybrid environment support that large organizations need.
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logicmonitor

AI Observability: How to Keep LLMs, RAG, and Agents Reliable in Production

Nov 20, 2025 By Sofia Burton In LogicMonitor
AI observability closes the gap between “something’s wrong” and “here’s what to fix.” If you run AI in production, you might have felt the whiplash. Yesterday, your LLM answered in 300 milliseconds (ms). Today p99 crawls, costs spike, and nobody’s sure if the culprit is model behavior, data freshness, or GPUs stuck at the ceiling. Dashboards light up, but they don’t tell you which issue puts customers at risk. That’s the gap AI observability closes.
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honeycomb

AI Isn't Here to Replace Your Dashboard... Yet

Nov 20, 2025 By Martin Thwaites In Honeycomb
Non-deterministic UIs are the future and will replace your dashboards, but they’re not here yet. So until then, we’re stuck with conversational interfaces. In an effort to try and describe what I consider the future of UIs to look like, I wrote about how you (and I) have been designing dashboards wrong. The core insight was that we've been designing for static representations of data that sit on a TV in the office, when the actual use case is someone at a desk using them to debug an issue.
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honeycomb

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

Nov 19, 2025 By Morgante Pell In Honeycomb
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.
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honeycomb

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

Nov 19, 2025 By Charity Majors In Honeycomb
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.
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