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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Grafana Assistant: Why you can trust our agent-and yourself-in an era of AI hallucinations

Let’s be real: AI can hallucinate. And in observability, that feels risky. No one wants an assistant that sends your SREs chasing ghosts. At best, that burns expensive engineering time. At worst, it slows incident response in production and pushes teams toward the wrong remediation path. So here’s the big question: What makes Grafana Assistant different, and why should you trust it? Let’s start by acknowledging the fear. AI hallucinations are a real issue.

Are We Letting AI Think for Us? | SolarWinds TechPod #105

We’re more dependent on technology than ever—and AI is changing how we make decisions. But what happens when the systems fail? Or when bad actors decide to “pull the plug”? This clip dives into a scary but necessary question: Are we losing our ability to critically think and problem-solve by relying too much on AI? Is AI leveling the playing field—or quietly taking over human decision-making? A must-watch conversation about innovation, outages, AI risk, and why having a backup plan matters more than ever.

You Need an Advisor. Not an AI Assistant.

Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.

How does Coralogix go beyond basic migration?

When a team, division or organization is assessing a new vendor, there are some basic questions that must be answered. At Coralogix, we look at migrations in a different way. It isn’t about transporting the current state of play into a new vendor, often called a “lift and shift”. These are the basics. There is a whole new level of onboarding and support that doesn’t just replicate value across platforms – it expands it.

Tool Consolidation Is Dead. Long Live Agentic AI.

It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no longer tool scarcity or feature depth. It’s integration debt.

How to Implement Distributed Tracing in Microservices with OpenTelemetry Auto-Instrumentation

This guide shows you how to implement OpenTelemetry’s auto-instrumentation for complete distributed tracing across your microservices, from initial setup through production optimization and troubleshooting.

OpenTelemetry Instrumentation Best Practices for Microservices Observability

OpenTelemetry instrumentation is the foundation of modern microservices observability, but getting it right in production requires more than just enabling auto-instrumentation. This guide covers production-tested OpenTelemetry best practices that help engineering teams achieve reliable distributed tracing, control observability costs, and extract maximum value from their telemetry data.