Building monitorable and traceable microservice applications: PHP Hyperf development practice

In the current era of rapid development of the Internet, microservice architecture has become an increasingly popular software development model. Compared with the traditional monolithic architecture, the microservice architecture greatly improves the maintainability and scalability of the application by splitting a large application into multiple small services. Each service can be deployed and expanded independently. However, with the rise of microservices, it also brings some new challenges, such as how to monitor and track the running status and performance of microservice applications.

In this article, we will introduce how to use the PHP Hyperf framework to build a monitorable and traceable microservice application. PHP Hyperf is a high-performance, flexible PHP microservice framework based on Swoole extensions. It provides a wealth of features and tools to make monitoring and tracking easier.

First of all, in order to monitor and track microservice applications, we need to have a good monitoring system. In PHP Hyperf, we can use Prometheus and Grafana to implement monitoring. Prometheus is an open source monitoring system that actively collects application performance indicators and stores them in a time series database. Grafana is an open source data visualization tool that can obtain data from Prometheus and display it in a visual way.

In PHP Hyperf, we can use the hyperf/metrics component to integrate Prometheus. First, we need to install the hyperf/metrics component in the hyperf project, which can be installed through the composer command. After the installation is complete, we can perform relevant configurations in the application configuration file, such as specifying the Prometheus data storage path, specifying the collected performance indicators, etc.

Next, we need to define some performance indicators and collect them in the code to pass these data to Prometheus. In PHP Hyperf, we can use the Metric class provided by the hyperf/metrics component to define and collect performance indicators. The Metric class provides various methods, such as counter, gauge, histogram, etc. We can choose the appropriate method to define and collect performance indicators based on actual needs.

In addition to the monitoring system, the tracking system is also very important. In microservice applications, the calling relationships between microservices are intricate. If a problem occurs, it is difficult to trace the source of the problem. In order to solve this problem, we can use the tracing component provided by PHP Hyperf to implement tracking. The tracing component uses the OpenTracing standard, which can automatically trace the call link and generate corresponding tracing reports.

In PHP Hyperf, we can use the hyperf/tracer component to integrate tracing. First, we need to install the hyperf/tracer component in the hyperf project. The installation can be completed through the composer command. After the installation is complete, we can perform relevant configurations in the application configuration file, such as specifying the tracing service name, specifying the sampling rate of collection, etc.

Next, we need to bury the point in the code to pass the tracking information to the tracing component. In PHP Hyperf, we can use the Span class provided by the tracing component to bury the point. The Span class provides a series of methods, such as startSpan (start tracking), finishSpan (end tracking), log (record log), etc. We can choose the appropriate method to bury points according to actual needs.

Through the above steps, we can build a monitorable and traceable microservice application. When the application is running, we can monitor the performance indicators of the application through Prometheus and display them in the form of charts through Grafana. When an application problem occurs, we can use tracing to trace the call link and find the source of the problem. The use of these tools and technologies has greatly improved the efficiency and reliability of our development and maintenance of microservice applications.

In short, building a monitorable and traceable microservice application is a very important task. In the PHP Hyperf framework, we can use Prometheus and Grafana to monitor application performance indicators, and use tracing to track application call links. By using these tools and techniques, we can better understand the running status and performance of the application, and be able to locate and solve problems faster. I hope this article can help developers become more efficient and reliable when building microservice applications.

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