Design principles and usage methods of Metrics Core framework

Metrics Core is a Java library that is used to measure and monitor applications for performance indicators.It provides a set of APIs and tools for collecting, recording and reporting application indicators.The design of Metrics Core follows some core principles and provides simple and easy -to -use usage methods. The design principles of Metrics Core include: 1. Simple and easy to use: The API design of Metrics Core is simple and clear, easy to understand and use.It provides a unified entry point that can easily define and register various indicators of applications through the entrance point. 2. Highly scalable: The architecture of Metrics Core allows users to easily expand and customize indicators.Users can define new indicators according to their own needs and provide corresponding implementation. 3. Unified measurement model: Metrics Core uses a unified measurement model to represent different indicators.The measurement model defines many commonly used indicators, such as counter, timer, and histogram.Users can choose an appropriate measurement model to define the indicators according to their needs. 4. Low latency and low resource consumption: Metrics Core has minimized the impact of application performance by minimizing the impact of the application of the application by optimizing the underlying data structure and algorithm.It uses asynchronous methods to collect and report indicators to ensure low latency and low resource consumption. The use of metrics core is as follows: 1. Introduction dependencies: Add the dependencies of Metrics Core in the construction file of the project. <dependency> <groupId>io.dropwizard.metrics</groupId> <artifactId>metrics-core</artifactId> <version>4.0.5</version> </dependency> 2. Define indicators: Define the indicators of applications using the API of Metrics Core.You can choose a suitable measurement model and indicators to define different types of indicators.For example, a counter can be used to count the number of calls of a certain operation: import com.codahale.metrics.Counter; import com.codahale.metrics.MetricRegistry; MetricRegistry registry = new MetricRegistry(); Counter counter = registry.counter("my_counter"); // Use a counter for statistics counter.inc(); counter.inc(10); 3. Collect and report indicators: Reporters using Metrics Core to collect and report indicator data to the monitoring system.Metrics Core provides many reporters, such as ConsoleREPORTER, CSVReporter, and GraphiteRePorter.You can choose the appropriate reporter and report frequency to report the indicator data.For example, print the index data to the console with consolateRePorter: import com.codahale.metrics.ConsoleReporter; import java.util.concurrent.TimeUnit; ConsoleReporter reporter = ConsoleReporter.forRegistry(registry) .convertRatesTo(TimeUnit.SECONDS) .convertDurationsTo(TimeUnit.MILLISECONDS) .build(); // Report the indicator data every 1 second. reporter.start(1, TimeUnit.SECONDS); Through the above three steps, you can use Metrics Core to measure and monitor the performance indicators of the application.According to actual needs, you can choose different measurement models, indicators and reporters to customize the behavior of indicators to collect and report.