Agile development and operation of PHP microservice containerization

Answer: PHP microservices are deployed using Helm Charts for agile development and containerized using Docker Containers for isolation and scalability. Detailed description: Use Helm Charts to automatically deploy PHP microservices and achieve agile development. Docker images allow for rapid iteration and version control of microservices. The Docker Container standard isolates microservices, and Kubernetes manages the availability and scalability of the containers. Use Prometheus and Grafana to monitor microservice performance and health and create alerts and automatic repair mechanisms.

Agile development and operation of PHP microservice containerization

Agile development

Use Helm Charts, etc. Tools automate deployment. Docker images allow for rapid iteration and version control of microservices.

For example, use Helm Chart to deploy a PHP microservice:

# 创建并添加Helm仓库
helm repo add stable https://charts.helm.sh/stable

# 安装PHP微服务
helm install my-php-service stable/php-fpm --set image.repository=php:7.4

Containerization

Use the Docker Container standard to isolate the microservice. The Kubernetes orchestration engine is used to manage containers, ensuring high availability and scalability.

For example, create a Docker image containing a PHP microservice:

FROM php:7.4-fpm

# 从 composer 安装依赖项
RUN composer install

# 暴露端口
EXPOSE 9000

# 监听端口
CMD ["php-fpm"]

Operation and maintenance

Use Prometheus and Grafana to monitor microservice performance and health. Create alarms and automatic repair mechanisms based on fault scenarios.

For example, use Prometheus to monitor PHP microservices:

# 指定指标名称和对应的抓取endpoint
scrape_configs:
  - job_name: 'php-micro-service'
    static_configs:
      - targets: ['127.0.0.1:9000']
    relabel_configs:
      # 设置每个指标对应的标签
      - source_labels: ['__address__']
        target_label: 'instance'
      - source_labels: ['__meta_kubernetes_namespace']
        target_label: 'kubernetes_namespace'

Practical case

Case 1: E-commerce platform

• Microservice architecture
• Deployed using Helm Chart
• Deployed in a Kubernetes cluster
• Monitored by Prometheus and Grafana

Case 2 ：Content management system

• Microservice architecture
• Containerized using Docker Container
• Deployed on AWS ECS
• Monitored by Datadog

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