Efficiently debug your Node.js application with in-depth performance insights, real-time monitoring, and detailed traces. Quickly identify and resolve bottlenecks, memory leaks, and code inefficiencies to maintain optimal performance and reliability.
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Best APM Monitoring tool
— S Herman Kiefus, DevOps Admin, Compass
Gain insights into your performance, enhancing transaction flow and speeding up error resolution.
Visualize end-to-end traces across your stack, ensuring that you catch every error, performance issue, or bottleneck before it affects users.
Pinpoint and resolve slow database queries and eliminate performance bottlenecks impacting your application's responsiveness, leading to faster response times
Get alerted to potential library vulnerabilities, preventing security risks before they affect your customers or compliance.
Centralize all your logs in one place, and quickly identify the root cause of issues using advanced filtering, pattern detection, and log pipelines.
Set up and track custom metrics that align with your app's KPIs to ensure you're monitoring exactly what matters most for your success.
Explore request-level analysis, including stdout APM logs, to understand execution times, bottlenecks, and areas that need optimization.
Correlate your app’s APM metrics with server health to get a complete picture of your application’s performance and infrastructure dependencies.
Receive real-time alerts for app performance degradations and critical issues. Take immediate action to prevent downtime and optimize user experiences.
To fix poor Node.js performance:
Essential metrics for Node.js performance monitoring include:
Yes, Atatus allows you to set up custom alerts for performance issues in your Node.js application. You can configure alerts based on specific metrics like response times, error rates, and throughput, ensuring you are immediately notified when your application performance degrades.
The benefits of Node.js application performance monitoring (APM) include:
Yes, Atatus supports distributed tracing for Node.js applications, allowing you to trace requests as they flow across multiple services and components. This helps you understand the end-to-end performance of your application and identify issues in microservices or complex architectures.