PHP development: Application monitoring and performance analysis using Prometheus and Grafana

As modern applications become more complex, monitoring and performance analysis are becoming increasingly important. In today's big data environment, developers need to be able to effectively monitor their applications and identify issues quickly. To address these issues, an advanced monitoring and performance analysis tool has become essential. In this article, we'll cover how to implement application monitoring and performance analysis using Prometheus and Grafana.

What is Prometheus?

Prometheus is an open source monitoring system and time series database developed by SoundCloud. Prometheus can record any observable data and provides a powerful query language and image or graphical interface. It is part of the Cloud Native Computing Foundation and provides seamless integration with modern container platforms and tool sets such as Kubernetes, Docker, and more.

Prometheus Advantages

• Open source: free to use, free to modify and improve functions
• Highly flexible: able to monitor various service types, including containers and virtual machines
• Low latency: Data is stored on local disk and queried in memory
• High scalability: Prometheus clusters can handle PB-level data
• Powerful query language: PromQL supports a variety of operations, including aggregations and annotations

What is Grafana?

Grafana is an open source data analysis and visualization tool that aggregates results from data sources into a single dashboard. Grafana supports a variety of data sources, including Prometheus and other time series databases, relational databases, log files, and IoT devices. Grafana is suitable for analyzing and monitoring data in large enterprises, as well as for use by small teams in development projects.

Grafana Advantages

• Data processing: Provides powerful data processing capabilities, including aggregation and filtering.
• Good visualization effect: Supports a variety of charts and operational statistical view displays, and can visualize and intuitive indicators based on indicators or logo color dimensions.
• Alarm monitoring: can support the development of customized reminder alarms and visual color display of problems.
• Multiple data sources: Grafana supports multiple data source types, such as Graphite, Elasticsearch, Cloudwatch and Prometheus.

Monitoring applications using Prometheus and Grafana

Prometheus and Grafana can help developers monitor various metrics of applications, including machine resource usage, request latency, and response time. In this section, we'll cover how to integrate application metrics into dashboards using Prometheus and Grafana.

Step 1: Install and configure Prometheus

The easiest way to install Prometheus is to use a container platform (such as Docker or Kubernetes). If you want to build Prometheus binaries from source, you need to install Go and Git. The configuration file config.yml contains all targets to be monitored and the persistence location for storing and retrieving files for exported samples, and can be configured in the following way:

global:
scrape_interval: 10s # Periodic detection Frequency
scrape_timeout: 5s # Detection timeout time

scrape_configs:

• ##job_name: 'myapp'
  static_configs:
  targets: ['localhost:9000']

#Step 2: Install and configure Grafana

Grafana is also available through the containerization platform Install. We can use configuration files to configure Grafana, which makes maintenance and management easier. After the installation is complete, open Grafana, visit http://localhost:3000, and enter the initial username and password.

Step 3: Create a Dashboard

In Grafana, you need to create a dashboard to display the data collected by Prometheus. Add Prometheus data source: Grafana → Configuration → Data Sources → Add data source → Prometheus. Enter the Prometheus URL and access control configuration.

Next, select the data you want to display and how to transform the data in the library of the Grafana dashboard, such as using PromQL queries to combine or aggregate the data.

You can also set alert conditions for indicators and set notification methods.

Conclusion

In this article, we introduced how to implement application monitoring and performance analysis using Prometheus and Grafana. Prometheus is an excellent monitoring system and time series database, while Grafana offers rich functionality and powerful visualization and analysis tools. Using these two tools, you can monitor a variety of application metrics, quickly find issues, and perform in-depth analysis of performance and events.

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