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

Happy Birthday to Us: Honeycomb 10 Year Manifesto, Part 1

Feb 11, 2026 By Charity Majors In Honeycomb

Christine and I started Honeycomb in 2016, which means it’s been ten years. Christine, a developer, and I, an operations engineer, were both profoundly unhappy with the state of the art in monitoring and logging tools. The tools we had used at Facebook didn’t spray our signals around to a bunch of siloed-off pillars. They consolidated as much context as possible so we could properly explore it, the way every other non-software engineering team already takes for granted.

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ilert now supports a native WhaTap integration

Feb 11, 2026 By Sirine Karray In iLert

ilert now supports a native WhaTap integration, connecting AI-native observability with AI-first incident management in a seamless workflow. This integration allows DevOps, SRE, and IT teams to move instantly from detection to resolution – cutting through alert noise, improving coordination, and dramatically reducing MTTR in even the most complex IT environments.

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Why distributed observability is straining and what new research reveals

Feb 11, 2026 By OpsMatters In OpsMatters

Distributed systems quietly run much of today's digital world. People expect these systems to work reliably across regions and time zones for everything from money transfers to streaming platforms and AI-driven workloads. As organisations use more microservices, containers, and event-driven architectures, observability has become the main way for teams to understand what is happening in production.

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Heartbeat behind the metrics | Muraleedharan on support, scale, and seeing the product in the wild

Feb 9, 2026 By ManageEngine Site24x7 In Site24x7

What does observability look like when you’re responsible for customers at scale? In this episode of Heartbeat Behind the Metrics, Muraleedharan Sadhasivam, Head of Customer Success, talks about his 15-year journey at ManageEngine and the perspective you only get from being close to customers every day. He shares why custom dashboards matter so much, and why AppLogs is a feature he wishes more users explored to complete the MELT story. From querying logs to turning them into alerts and dashboards, he explains how real insights start when data is brought together.

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Site24x7

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Go Context timeouts can be harmful

Feb 7, 2026 By Vladimir Mihailenco In Uptrace

You probably should avoid ctx.WithTimeout or ctx.WithDeadline with code that makes network calls. Here is why.

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Uptrace

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Monitoring cache stats using OpenTelemetry Go Metrics

Feb 7, 2026 By Vladimir Mihailenco In Uptrace

This article explains how to use opentelemetry-go Metrics API to collect metrics, for example, go-redis/cache stats.

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Uptrace

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How eBPF Improves Open Source Observability

Feb 6, 2026 By Coroot In Coroot

Try it open source on your system. Learn how tools can make gathering and making sense of observability data instant and painless with co-founder Peter Zaitsev.

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Coroot

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How we built Grafana Assistant - a conversation about AI development for observability

Feb 6, 2026 By Grafana In Grafana

This conversation with Grafana Labs engineers, Mat Ryer, Cyril Tovena and Sven Großmann, dives deep into the engineering behind Grafana Assistant, exploring how agentic AI is transforming the observability landscape. From hackathon origins to sophisticated backend agents, the team shares candid lessons on building, scaling, and refining AI tools for engineers.

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Kiro Can Now Reason With Lightrun's Live Runtime Context

Feb 5, 2026 By Gideon Freud In Lightrun

AI code generation is fast. Making it reliable requires runtime context. Today, Kiro gains live runtime visibility with the Lightrun MCP. This grounds AI-assisted development in how code actually behaves at runtime. Kiro, the AI coding assistant from the teams at AWS, is built for velocity and intuition. It moves from specification to production with speed and structure, helping teams turn intent into working code. But until now, like every AI coding assistant, Kiro had a major blind spot.

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How Honeycomb Supercharges OpenTelemetry for AI

Feb 5, 2026 By Fahim Zaman In Honeycomb

It has become common knowledge that the nature of software development has changed as AI-code generation and agent-based features gain adoption. In perhaps a more subtle shift, the fundamentals of software instrumentation are changing too. As OpenTelemetry becomes the standard instrumentation layer across enterprises, with thousands of developers (many from Honeycomb) actively contributing to it, the nature of the telemetry data captured itself is evolving to meet the growing demand for rich context.

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