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

Observability Self-Hosted 2026.1 - Additional Cloud Support

Feb 24, 2026 By solarwindsinc In SolarWinds
SolarWinds Evangelist Chrystal Taylor demonstrates the new cloud entity support features in Observability Self-Hosted version 2026.1. The update adds monitoring capabilities for MySQL and PostgreSQL databases on Google Cloud Platform, GCP load balancers, Azure functions, AWS Elastic Kubernetes Service, and AWS Lambda functions. She provides a guided walkthrough of the dashboard interface, showing how users can monitor various metrics including database performance, network traffic, latency, function execution counts, system usage, and costs across different cloud platforms.
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honeycomb

Using Core Web Vitals in Honeycomb Frontend Telemetry

Feb 23, 2026 By Ken Rimple In Honeycomb
Google's Core Web Vitals (CWVs) measurements have been used by web administrators and SREs to review frontend application performance metrics, and have been factored into Google's page rankings since 2021. They are also used in Google Analytics, which crawls websites and evaluates performance metrics over a period of multiple days, and with various frontends (desktop web, mobile web, etc.) to establish how well a website performs in production.
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coralogix

A 4-Month Bug Fixed in <10 Minutes with Olly

Feb 23, 2026 By Chris Cooney In Coralogix
In today’s highly interconnected systems, the subtle relationships between services are rarely obvious. Modern, complex architectures generate telemetry that functions less as “flashing signs” and more as faint “breadcrumbs” to be followed across a vast network of signals. In 2025, about two-thirds of outages involved third-party systems like cloud platforms and APIs.
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honeycomb

The Next Era of Observability: Founders' Reflections - Additional Q&A

Feb 19, 2026 By Rox Williams In Honeycomb
What happens when the people who helped define observability take a hard look at AI? That’s what Honeycomb co-founders Christine Yen (CEO) and Charity Majors (CTO) dug into during this webinar, starting with the early days of observability (back when it wasn’t even a category yet).
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lightrun

Kiro Can Now Use Lightrun via MCP

Feb 19, 2026 By Lightrun Team In Lightrun
AI code assistants transformed how software is written. They did not transform how it fails. Today, we’re announcing a new MCP integration between Lightrun and Kiro. Kiro now gains live runtime visibility through the Lightrun MCP, grounding 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 helps teams move from specification to production faster by turning intent into working code.
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lightrun

How to Make AI-Generated Code Reliable with Runtime Context

Feb 19, 2026 By Lightrun Team In Lightrun
AI coding assistants like Cursor and Claude Code are driving massive productivity gains, yet they have introduced a critical validation gap in the software delivery lifecycle. While these tools excel at generating syntax, they lack visibility into live production environments. This article explains how Runtime Context, the missing nervous system of AI development, secures production by moving from probabilistic guessing to deterministic, live code validation.
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honeycomb

Teaching AI How to Refinery

Feb 17, 2026 By Tyler Helmuth In Honeycomb
At the beginning of February, we released v3.1 of Refinery, our advanced, tail-based sampling solution. The new version comes with more performance enhancements, bug fixes, and a few new pieces of telemetry. In tandem with the 3.1 release, we also released a new tool for our MCP server which helps your AIs understand Refinery, and how Honeycomb handles sampling.
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coralogix

Introducing "Explain Flame Graph": Stop Fighting Fires and Start Explaining Them

Feb 16, 2026 By Jonny Steiner In Coralogix
In a modern observability deployment, it’s simple to get data that helps you understand where your system is failing. However, when we try to understand why, the answer is often buried beneath a mound of stack traces. For many developers, attempting to interpret a flame graph by manually calculating self-time (the resources consumed by the function itself) versus child-frame latency (the time spent waiting on called sub-functions) is both confusing and time-consuming.
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site24x7

Sovereign observability: How UAE data residency powers resilient digital economies

Feb 13, 2026 By Ramkumar Ramaswamy In Site24x7
Cloud observability is a must for IT teams operating in modern digital economies. It allows administrators to see inside complex systems, understand how each component behaves under real conditions, and act before users or regulators feel the impact. In simple terms, observability transforms digital infrastructure from a black box into a transparent, accountable, and resilient system.
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Uptrace Errors & Logs Tutorial: Capture Stacktraces, Context, and Traces in One Place

Feb 12, 2026 By Uptrace In Uptrace
Every error tells a story — and Uptrace helps you see the full picture. In this tutorial, you’ll learn how to use Uptrace to capture errors, logs, stacktraces, and request context in a single observability platform. See how errors automatically link to traces, understand exactly what happened, and debug issues faster with rich attributes, user data, and performance impact. What you’ll learn: Understand not just *what broke*, but *who it affected and why* — and fix problems with confidence using Uptrace.
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