FusionReactor Observability & APM
FusionReactor is turning 20! It’s a massive milestone, but what makes a company last two decades isn’t just the code – it’s the people who write it, refine it, and live it. Today, we are zooming in on two team
The observability market is flooded with vendors racing to claim the title of “first AI observability platform.” But the label matters far less than what the AI actually delivers to engineers in production. While competitors lock you into proprietary pipelines
The Reality of Modern Application Troubleshooting When your checkout service starts timing out at 2 AM, traditional monitoring tools give you graphs and alerts. But what you need are answers: Which service is actually failing? Why is it cascading? What
As FusionReactor celebrates its 20-year anniversary, we’re shining a spotlight on the people who helped shape our journey — the thinkers, builders, problem-solvers, and teammates who poured passion and possibility into every version, release, and breakthrough. Today, we’re celebrating Bernd
Learn how AI-powered performance troubleshooting reduces MTTR from hours to minutes. See real-world microservices root cause analysis using OpsPilot’s natural language observability.
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It’s Monday morning. You’re halfway through your first coffee when Slack explodes: “Customers can’t complete checkouts!” “Payment processing is down!” “Revenue is dropping – how bad is this?” Your heart rate spikes. Every minute of downtime means lost revenue. The
When your checkout fails at 2 AM, do you want an alert or an answer? Traditional monitoring tools excel at telling you something is wrong. They’ll send alerts, show red dashboards, and spike your error rate graphs. But they leave
This December marks an extraordinary milestone: FusionReactor celebrates 20 years of revolutionizing application performance monitoring. What began in 2005 as a troubleshooting tool has evolved into a comprehensive observability platform trusted by organizations worldwide. But the real story isn’t just
Summary FusionReactor OpsPilot AI assistant investigated application latency issues using Prometheus metrics and Tempo distributed tracing. OpsPilot identified flagd service EventStream operations timing out at exactly 600 seconds (10 minutes), causing cascading application latency across recommendation service, load-generator, checkout, and
Effective observability isn’t just about collecting data—it’s about knowing what questions to ask. With OpsPilot’s natural language interface and OpenTelemetry’s comprehensive telemetry data, you can establish a daily routine that keeps you ahead of issues before they impact users. Here
