Author: Zen and the Art of Computer Programming
1 Introduction
With the development of cloud computing, more and more people run various applications on the cloud. In order to make better use of cloud resources and reduce operating costs, people are gradually turning to automated services on cloud platforms. Amazon Web Services (AWS) offers many automation services, including CloudWatch, CloudFormation, Lambda, and Auto Scaling Group, among others. These services can help users quickly deploy and expand applications, scale applications, and focus on the development of core business functions of applications. By automating services, you can save a lot of time and money and improve work efficiency.
For the automated process of deploying and managing applications on AWS, there are two typical approaches:
- Common deployment method, this method is usually based on manually uploading compressed packages or scripts to S3 or ECR, and then configuring related Auto Scaling Group (ASG) and other resources, triggering corresponding events (such as EC2 startup or shutdown) for deployment and updates.
- The CI/CD method for CICD automatically pushes the code to S3 or ECR through CI/CD tools (such as Jenkins, CodePipeline), and then triggers the corresponding CFN or Lambda function for deployment and update.
Although the former method is simple, when the application scale grows, resources such as multiple ASGs need to be manually managed, and as the application version is iterated, new versions need to be released frequently, which is time-consuming and labor-intensive. The latter method completes application deployment and update through automated tools, and solves the problem of manual resource management. However, this approach has some drawbacks:
- Complex and cumbersome configuration: CI/CD tools are only responsible for code builds and deployments, but how to manage and configure Auto Scaling Groups, IAM roles, logs, and monitoring