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

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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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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lightrun

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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honeycomb

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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Top 9 Observability Tools for AI-Assisted Development & Deployment

Top 9 Observability Tools for AI-Assisted Development & Deployment

Feb 5, 2026 By OpsMatters In OpsMatters
AI-assisted development is rapidly becoming the default way software is built. Code generation, AI copilots, agentic pull requests, and automated refactoring are now embedded directly into engineering workflows. While this shift dramatically increases delivery speed, it also introduces a new operational reality: production systems are changing faster than humans can fully reason about them. This is where observability becomes mission-critical.
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elastic

Observability trends for 2026 (Part 2): GenAI and OpenTelemetry reshape the landscape

Feb 4, 2026 By David Hope In Elastic
Over the course of my 20 years as a developer, SRE, and now observability product leader, software has typically progressed at a good pace. But now, the emergence of two transformative technologies are fundamentally reshaping enterprise observability: generative AI (GenAI) and OpenTelemetry (OTel). We surveyed over 500 IT decision-makers for a new report:The Landscape of Observability in 2026: Balancing Cost and Innovation.
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