Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Application Performance Monitoring and related technologies.

The Real ROI of Using an APM Tool for SaaS Businesses

For every SaaS leader, engineer, and operations professional, growth is always the main goal. You’re expected to release features quickly, keep user experiences smooth, and manage everything within a limited budget. But behind the scenes, your application may have hidden issues such as slow performance, unnoticed errors, and laggy transactions that quietly eat away at revenue, reduce customer trust, and exhaust your engineering team.

Query Builder v5 - Two Years of Technical Debt, 80 Closed Issues, and a Fundamental Rethinking

In 2022, we had three different query interfaces. Logs had a custom search syntax with no autocomplete. Traces only had predefined filters - no query builder at all. Metrics had a raw PromQL input box where you'd paste queries from somewhere else and hope they worked. Each system spoke a different language. An engineer debugging a production issue had to context-switch not just between data types, but between entirely different mental models of how to query data.

Monitor Cloud-Native & Hybrid Apps and Business Transactions With Observability Cloud APM

As organizations modernize, most applications don’t fit neatly into one category—they span both traditional three-tier architectures and cloud-native microservices. To monitor these hybrid environments effectively, teams need APM tools that can seamlessly connect the two worlds.

Interactive Dashboards - Click Any Panel to Start Debugging

Your dashboard shows a latency spike. To investigate it, you copy the query, open logs in a new tab, paste and modify the query, lose your dashboard filters, and repeat for traces. By the time you find the issue, you have 15 tabs open. Starting today, you can click any panel and investigate right there. All your filters and variables carry over. No more tab juggling.

Why it's time to move beyond APM: Monitoring from the user's perspective

For years, organizations have relied on Application Performance Monitoring (APM) as the backbone of their observability strategy. The idea was simple: collect as many logs, metrics, and traces as possible, then sift through the data to uncover insights. But as applications have shifted to the cloud and become increasingly API-driven, that model has broken down.

Interactive Dashboards | SigNoz Launch Week 5.0 | Day 1

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do: ​Built for developers who need to debug production issues efficiently, not juggle with multiple tabs.

Monitoring Claude Code Usage with OpenTelemetry and SigNoz

In this video, we’ll walk you through how to monitor Claude code activity using OpenTelemetry and SigNoz. You’ll learn how to instrument your usage, capture telemetry data, and visualize it with SigNoz to get better insights into your system performance. Whether you’re exploring observability for AI workloads or looking for an open-source solution to monitor your llm activity, this guide will help you get started.

Full Session Simulation - Simulate Anything, Everything, Anywhere

Full Session Simulation is a powerful troubleshooting strategy. Have you ever been in a situation where everything on your dashboards looks green, but users are still encountering issues and raising support tickets?The cliche of “everything is fine on our side” moment is not just frustrating for everyone. It’s risky! Because when you can’t replicate what the user is experiencing, you’re flying blind.

What is APM Tracing?

APM tracing records the complete execution path of a request as it travels through your system, including database queries, external API calls, cache lookups, message queue events, and inter-service requests. Each step is captured with precise start and end timestamps, duration, and context such as service name, operation name, and relevant attributes. This lets you pinpoint where latency or errors originate without piecing together metrics and logs manually.