Surveillance indicators based on the Metrics Core framework in the Java class library

Surveillance indicators based on the Metrics Core framework in the Java class library introduction: In modern software development, performance monitoring is a very important task. It can help us understand the operating conditions of the application and analyze and optimize performance issues.Metrics Core is a Java class library for collecting and reporting various measurement indicators to collect and report applications. It provides rich functions and easy -to -use APIs to make performance monitoring simpler and efficient.This article will introduce the basic concepts and usage of Metrics Core, and use the Java code example to demonstrate how to use Metrics Core for performance index monitoring. Introduction to Metrics Core Metrics Core is an open source Java class library, which is the core component of the DropWizard Metrics project. It is specially used to collect and report various measurement indicators, such as counter, histogram, timer and scalar. Metrics Core has the following characteristics: 1. Simple and easy -to -use: Metrics Core provides a simple and easy -to -use API, making performance monitoring simpler and efficient. 2. Extended: Metrics Core supports customized measurement indicators. Users can define and collect arbitrary types of indicators according to their needs. 3. Visual report: Metrics Core provides the function of generating various charts and reports. Users can view and analyze the index indicators in various ways. 2. The basic concept of Metrics Core 1. MetricsRegistry: MetricsRegistry is one of the core categories of Metrics Core, which is used to manage and collect various measurement indicators.Users can register, obtain and delete the measurement indicators through MetricSregization. 2. Metric: Metric is an abstract interface for the medium weight index of Metrics Core, which provides a set of methods for collecting and reporting the index value.Metric interfaces have multiple sub -interfaces, such as Counters, Histogram, and Timer, which are used for different types of measurement indicators. 3. Countr: Countr is a simple measurement indicator for counting the number of events that occur in an event.The user can add the value of the counter through the INC () method of the counter, or you can use the DEC () method to decrease the value of the counter. 4. Histogram: Histogram is a measurement indicator for measuring data distribution.Users can enter a series of data to it through the UPDATE () method of Histogram, and then obtain statistical information of the data set, such as maximum, minimum values, average, and standard deviations. 5. Timer: Timer is a measurement indicator for the execution time for measurement code.Users can record the execution time of the code block through Timer's Time () method, and can obtain the execution time distribution information of the code block, such as the shortest time, the longest time, average time, and percentage. Third, use examples of Metrics Core The following is a few simple Java code samples to demonstrate how to use Metrics Core for performance index monitoring. 1. Create MetricsRegistry Object: MetricsRegistry registry = new MetricsRegistry(); 2. Create the Counter measurement index and register to MetricsRegistry: Counter counter = registry.newCounter("requests.counter"); 3. Use the counter measurement index to count: counter.inc(); 4. Create the Histogram measurement index and register to MetricsRegistry: Histogram histogram = registry.newHistogram("response.time.histogram"); 5. Use the Histogram measurement index for measure: histogram.update(100); histogram.update(200); histogram.update(300); 6. Create the Timer measurement index and register to MetricsRegistry: Timer timer = registry.newTimer("request.time.timer"); 7. Use the Timer measurement index to calculate the execution time of the code block: Timer.Context context = timer.time(); // Execute the code block that needs to be measured context.stop(); 8. Statistics of obtaining measurement index: long count = histogram.getCount(); double mean = histogram.getMean(); long min = histogram.getMin(); long max = histogram.getMax(); The above example is just a simple demonstration of the Metrics Core function. In fact, Metrics Core also supports many other functions, such as reporting index and custom measurement index.Through Metrics Core, we can easily collect various measurement data and analyze and optimize the performance of the application with the visual reporting tools. in conclusion: Metrics Core is a powerful and easy -to -use Java class library that can help us better understand the performance of the application.This article introduces the basic concepts and usage of Metrics Core, and demonstrates how to use Metrics Core for performance index monitoring through the Java code example.It is hoped that this article can help readers better understand and use Metrics Core and can apply performance monitoring in actual projects. references: - GitHub: https://github.com/dropwizard/metrics - Metrics Core Documentation: http://metrics.dropwizard.io/4.1.0/