When it comes to modern microservices architecture, monitoring and observability play a critical role in maintaining the smooth operation of your application. By utilizing Prometheus and leveraging the capabilities of Kubernetes, you can gain valuable insights into the performance and health of your Node.js application.
Why Prometheus
Prometheus is an open-source monitoring and alerting toolkit that is designed for reliability and scalability. It collects real-time metrics from your applications and stores them efficiently, allowing you to query and visualize the data effectively. By integrating Prometheus into your Node.js microservices deployed on Kubernetes, you gain valuable visibility into the inner workings of your application.
Code Example: Prometheus Deployment YAML
Here is my prometheus configuration that creates the deployment in my kubernetes cluster.
Creating Custom Metrics for Your Application
One of the standout features of Prometheus is its ability to create custom metrics tailored to your specific use case. By generating and exposing custom metrics in your Node.js application, you can track key performance indicators and gain insights that are unique to your application's logic.
Code Example: Custom Metric Implementation
My route endpoint is /metrics. I export both the endpoint and the registry to enable the registration of custom metrics.
Now, let's delve into developing a custom metric that monitors the login activity of users in the system. Although it may not be immediately practical, the objective is to demonstrate the process of creating a custom metric rather than focusing on its current utility. Another metric can be how long the login request took to monitor system lag for the signin process.
Easy Integration of Custom Metrics
Integrating custom metrics with Prometheus in your Node.js application is straightforward and seamless. With just a few lines of code, you can instrument your application to expose metrics that matter to you, empowering you to make data-driven decisions based on real-time information.
Monitoring Your Custom Metrics
Once you have set up Prometheus to scrape custom metrics from your Node.js application, you can visualize and monitor these metrics in the Prometheus dashboard. This provides a centralized view of the health and performance of your application, enabling you to detect issues early and optimize performance proactively.
Prometheus Dashboard Screenshot
I utilized Postman to send three login requests, with the logs capturing these requests. Additionally, the new custom metric "login_success_total" is being detected by Prometheus, displaying a graphical representation of the login activities and their timestamps.
In conclusion, by embracing Prometheus and leveraging custom metrics in your Node.js application running on Kubernetes, you unlock a new level of observability and control over your microservices architecture. The ability to tailor metrics to your unique requirements and visualize them in real-time empowers you to build robust and efficient applications that meet the demands of today's dynamic environments. Start harnessing the power of Prometheus today and take your Node.js microservices to the next level!
If you have any questions or suggestions regarding future topics, please feel free to leave a message below. Thank you for reading.
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