Use go-zero to implement visual monitoring and data analysis system

With the development of the Internet and the increasing amount of data, big data processing and analysis have become an indispensable part of modern enterprises. However, most of the existing data processing and analysis tools require complex configuration and use, and often require professional technical support. This article introduces how to use the go-zero framework to implement a visual monitoring and data analysis system, allowing enterprises to analyze and monitor data more conveniently.

1. System introduction

This system is developed using Go language and implemented using go-zero framework. The system mainly consists of the following parts:

• Monitoring component: Use the Prometheus component to obtain monitoring data and store the data in the InfluxDB database.
• Data analysis component: Use the Grafana component to perform visual display and data analysis of monitoring data stored in InfluxDB.
• API service: Use the go-zero framework to implement API services, which are used to interact with the front-end and obtain monitoring data and data analysis results.

2. Monitoring component

In the entire system architecture, the monitoring component plays the role of collecting data. We use Prometheus components to obtain monitoring data and store the data in the InfluxDB database.

Prometheus is an open source monitoring system that can collect and store various indicator data and provide query and visualization functions. Prometheus can monitor a variety of different services, including applications, operating systems, and network devices. In this system, we use Prometheus to collect monitoring data of the application.

In Prometheus, we need to define indicators for monitoring data. For the indicators that need to be monitored, we need to write the corresponding exporter so that Prometheus can collect data on these indicators. For example, we can write an HTTP exporter to monitor the status code, response time and other information of HTTP requests. Then, Prometheus will periodically obtain indicator data from this exporter and store the data in a time series database.

InfluxDB is a high-performance time series database that can be used to store and query monitoring data. Using the InfluxDB database, we can easily store the monitoring data collected by Prometheus and perform query and analysis.

3. Data analysis component

The data analysis component is mainly implemented using Grafana. Grafana is an open source visual data analysis and monitoring platform that can aggregate data from a variety of different data sources and present the data in a visual way. Compared with components such as Prometheus and InfluxDB, Grafana pays more attention to the visual display of data and provides a very rich set of charts and panels to facilitate users to analyze and display data.

We can use Grafana's data source function, use InfluxDB as the data source, and create panels in Grafana to visually display the monitoring data. For indicators that require data analysis, we can write relevant query statements in Grafana and create corresponding statistical charts to display the data. In this system, we can use Grafana to conduct data analysis on the service quality and performance indicators of the application.

4. API service

API service is implemented using the go-zero framework and is used to interact with the front-end and obtain monitoring data and data analysis results. The go-zero framework is a microservice framework based on the Go language. It provides a wealth of components and tools to facilitate users to implement efficient API services.

In this system, we use the go-zero framework to implement an API service to obtain monitoring data from Prometheus and InfluxDB and provide the data to the front end. We can write corresponding processing functions in the API service to handle requests from the front end, including querying monitoring data, performing data analysis, etc. In the processing function, we can use the components and tools provided by the go-zero framework to easily operate components such as Prometheus and InfluxDB to achieve efficient data query and analysis.

5. Summary

This article introduces how to use the go-zero framework to implement a visual monitoring and data analysis system. The system uses Prometheus components to obtain monitoring data and stores the data in the InfluxDB database. Use Grafana components for visual display and data analysis of monitoring data stored in InfluxDB. Finally, the go-zero framework is used to implement API services for interacting with the front-end and obtaining monitoring data and data analysis results.

This system can easily monitor and analyze data on the service quality and performance indicators of enterprise applications, thereby helping enterprises better understand their business conditions and make reasonable decisions. At the same time, this system is implemented using the go-zero framework, which has good performance in terms of performance and efficiency.

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