Setting up custom metrics is an easy way to gain instant insights into the information you need (without scorching through log lines or struggling with complicated reporting tools). Supplement your application's critical monitoring data by tracking meaningful metrics to quickly identify and resolve potential issues. In this blog post, we'll show you how to set up and use custom metrics to remove your monitoring blind spots.

AppSignal integrates seamlessly with Prisma via OpenTelemetry to give you invaluable insights into how your application is performing. In this blog post, we'll outline how you can use AppSignal to optimize your application's Prisma integration, mitigate inefficient database queries, spot anomalies, and improve your application's scalability.

Node.js is a popular choice for creating a scalable and highly performant web app. Its event-driven, non-blocking I/O model makes it well-suited for building real-time, data-intensive applications. Maintaining the health of your Node.js app includes monitoring and tracking several metrics over time to better understand how your app is performing. Monitoring your application's health is important to ensure its smooth operation and a good user experience.

Understanding how NGINX performs can be overwhelming. There are many data points to follow, and it can be tricky to know which ones are relevant to you and which ones you can ignore. In this article, we'll explain how you can use AppSignal to monitor NGINX, expanding your visibility over your application's performance.