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

From Monitoring to Observability: How DEX Integrations Strengthen IT Visibility and User Productivity

When I started working in IT in the last 90’s, IT performance was always measured by the health of infrastructure: CPU utilization, network latency, server uptime, and for many organizations, little has changed in the last 30+ years. We became very good at keeping systems alive, yet users still struggled to get work done. That disconnect is exactly why Digital Employee Experience (DEX) has emerged as a critical discipline. But DEX on its own is not the end goal.

Observability for the Agent Era: Day 1 | Keynotes

Honeycomb's Innovation Week: Observability for the Agent Era (May 12-14) For Day 1 of Innovation Week, Honeycomb co-founders Christine Yen and Charity Majors will share what it actually takes to understand and debug systems in the agent era, and what the best engineering teams are doing differently. A 3-Day Virtual Event for Teams Building the Future May 12: Get insights on how the best engineering teams are tackling the challenges of the agentic era.

Innovation Week Day 2: Observability for AI, and Observability With AI

AI is reshaping the SDLC in two directions at once. AI-generated code is shipping faster and with less human supervision than ever before, while agents and LLMs are running directly in production, where they behave very differently from traditional software: non-deterministic, with a wider blast radius than any single function or component, with no stack trace to catch when something goes wrong.

Honeycomb Innovation Week: Observability With AI With Kale and Taylor

Watch this video to see the re-imagined Canvas in action, where auto-investigation has already ranked your hypotheses before you open the tab, multiplayer agents build on each other's work in real time, and a custom skill encoding your team's own runbook can reprioritize the entire incident before you've had your morning coffee.

Innovation Week Day 1: The SDLC Is Collapsing, and Observability Has Never Mattered More

The software development lifecycle is collapsing. The multi-stage pipeline that defined how software got built and shipped for decades is compressing into rapid loops of intent and validation, with agents now part of the teams building and running it. Day 1 of Innovation Week was about what that shift means for how software gets validated, where observability fits, and the problems that have always been hard but are now genuinely urgent.

Security Integrations in Observability Self-Hosted

Integrating security data with observability data provides a comprehensive view for better threat detection and response. Security observability helps connect the dots between seemingly innocent events that, when correlated, reveal complex attack patterns. SolarWinds security products integrate into observability self-hosted, including Security Event Manager for log data and event correlation, Access Rights Management for identifying potential attack vectors, configuration management for compliance monitoring, and Patch Manager for tracking critical updates.

Making Semantic Conventions Work for You With OpenTelemetry Weaver

Your dataset has hundreds of attributes. Some are self-explanatory: http.response.status_code, server.address. Others are not: meta.refinery.reason, dataset.slug, sli.latency_target_ms. If you don't know what an attribute means, you can't write a good query. And if an AI agent doesn't know what it means, it guesses.

Why Alert Fatigue Solutions Still Miss the Root Cause

Alert fatigue solutions have never been better, but on-call engineers are still burning out. Threshold tuning, AI triage, and alert correlation reduce the noise, but every alert that clears filtering lands with the same incomplete telemetry and triggers the same manual investigation cycle. This post explains why the evidence gap survives every fix, and how runtime context changes that.