Introduction to Gauge API
Gauge is a powerful tool for creating and managing performance metrics, essential for monitoring and improving the performance of your applications. In this guide, we will explore various APIs provided by Gauge along with code snippets and a practical app example to help you get started.
1. Creating a Gauge
const gauge = new Gauge('cpu_usage', { description: 'CPU Usage Percentage', labels: ['environment'] });
2. Setting Gauge Value
gauge.set({ environment: 'production' }, 55.3);
3. Incrementing Gauge Value
gauge.inc({ environment: 'production' });
4. Decrementing Gauge Value
gauge.dec({ environment: 'development' });
5. Using Time Function
const end = gauge.startTimer({ environment: 'staging' }); // Perform some task end(); // Stops the timer and records the duration
6. Setting Labels
gauge.setLabels({ environment: 'test' });
App Example with Gauge APIs
Below is a sample application that demonstrates how to use the aforementioned Gauge APIs to monitor CPU usage.
const Gauge = require('gauge'); // Initialize the gauge const cpuGauge = new Gauge('cpu_usage', { description: 'CPU Usage Percentage', labels: ['environment'] }); // Function to simulate CPU usage function simulateCpuUsage(env, usage) { cpuGauge.set({ environment: env }, usage); } // Simulate CPU usage data simulateCpuUsage('production', 70.5); simulateCpuUsage('development', 45.2); // Increment CPU usage in production environment cpuGauge.inc({ environment: 'production' }); // Start and stop timer for staging environment const end = cpuGauge.startTimer({ environment: 'staging' }); // Perform some task end(); // Stops the timer and records the duration // Decrement CPU usage in development environment cpuGauge.dec({ environment: 'development' }); // Set label for test environment cpuGauge.setLabels({ environment: 'test' });
By integrating the Gauge APIs into your applications, you can effectively monitor and optimize performance, ensuring a better user experience. Start using Gauge today to gain insights into your application’s performance metrics!
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