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What Should Know About Serverless Development with AWS Lambda

Today, the application development process is changing and improving with new serverless technologies. We can less the amount of code needed to write and reduce the issues associated with the latest server-based model while using the serverless development tech. Serverless is also used in production by international companies like Netflix, Reuters, AOL, and Telenor. That’s why Serverless is all set to take up its own place in the worldwide market. But, some key things to focus on to ensure you are building robust applications with this serverless development model. In this blog, we are going to discuss the Infrastructure as Code, Testing functions Locally, Code Managing, Testing, and Continuous Integration with a high-level recap of what serverless is.

What is Serverless? Serverless is a cloud computing execution structure where the cloud provider dynamically manages the allocation and provisioning of servers. That’s why a serverless application doesn’t require the provisioning or management of any servers. A serverless application runs in stateless compute containers that are event-triggered and fully managed by the cloud provider. Means, your application code still runs on a server. You just don’t need to worry about managing it. You can just write less code and let AWS Serverless Architecture handle the rest. AWS covers the scalability and availability of your code when you receive traffic to your lambda functions. AWS will also scale up or down based on the number of requests to your application. This approach to application development makes it easier to build your application quickly without worrying about servers.

1. Infrastructure as Code: Infrastructure as code is what AWS recommends as a best practice when developing new applications. You have more control over your environment in terms of audibility, automatability, and repeatability. You can create a Dev environment with our infrastructure as code and replicate that environment exactly. When testing your application, it’s important to replicate what’s in prod for getting surety about your code what you intend for them to do. On the other hand, when using AWS, you can write Cloud Formation Templates which can become very long and hard to read. That’s why AWS came out here with a solution to this if you’re writing a serverless application.

2. Testing AWS SAM Locally: The testing process is everything to make sure you’re getting the desired outcome before making deployments and updates to your application. AWS SAM Local offers command-line tools that can use to test your serverless applications before deploying them to AWS. You can also locally test an API to defined in your SAM template before creating it in API Gateway and can validate the templates you create to make sure you don’t have issues with deployment. These tools can help to reduce the risk of errors with your application and also you can view logs locally and debug your code, allowing you to iterate changes without worry quickly.

3. Optimizing Code Management: Lambda functions are not so complicated and coupled together. It needs some specific recommendations around how you should write and organize your code. Generally, writing good code is only have the battle, now you just need to manage it properly. As per the discussion, the development speed of serverless applications is generally much faster than a typical environment. That’s why having a good solution for source control and management of your Lambda code will help to ensure a secure and smooth change management processes. When you are developing multiple environments for your Lambda code, Dev and Prod, it makes sense to separate those into different release branches. The main purpose of organizing your code this way is to ensure that each environment has its own separate environment. You don’t have to work on developing a modern application only to be left with a monolithic coupled code-base.

4. Testing: Testing is the best way to ensure the quality of your code while developing a serverless architecture. As per the recommendation, it has two parts when it comes to complete the development process.

  • Unit Tests- As per the AWS recommendations, the unit test of your Lambda function code thoroughly focuses mostly on the business logic outside your handler function. But the bulk of your logic and tests should occur with mock objects and functions on which you have full control within your code-base. You can also create local test automation using AWS SAM Local, which can serve as local end-to-end testing of your function code.
  • Integration Tests- As per the AWS recommendations, the integration test of your Lambda functions, you can create lower life-cycle versions where your code packages are deployed and invoked through sample events in which your CI/CD pipeline can trigger and inspect the results of.

5. Continuous Integration (CI)/Continuous Delivery (CD): Because of the speed of development with a serverless architecture will be much more frequent, AWS always recommends that you can programmatically manage all of your serverless deployments through CI/CD pipelines. AWS provides a suite of tools for setting up a CI/CD pipeline. The list has been given below.

  • AWS CodeCommit- AWS CodeCommit is providing private Git repositories and the ability to create branches. It also allows the best practices of code management with fine-grained access control.
  • AWS CodePipeline- AWS CodePipeline automates the build, test, and deploy phases of your release process and also integrates with CodeCommit or other third-party services such as GitHub.
  • AWS CodeBuild- AWS CodeBuild can be used for the build stage of your pipeline, execute unit tests, create a new Lambda code package, and can push your code to Amazon S3 by integrating it with AWS SAM.
  • AWS CodeDeploy- AWS CodeDeploy is using to automated deployments of new code to your Lambda functions. It is eliminating the need for error-prone manual operations. It has different deployment preferences you can use depending on what your needs are.
  • AWS CodeStar- AWS CodeStar is a unified user interface that allows you to create a new application with best practices already implemented. The best part of CodeStar is its fully implemented CI/CD pipeline which creates from the start of the CodeStar project.

Now, we’ve covered some best practices for developing serverless applications. If you think about jumping from traditional to serverless architecture, you should understand that it is not a quick win. But serverless is a great solution to many of the architecture challenges and is a real refresh from the traditional developments stacks. If you haven’t tried serverless before, you should get some hands-on experience. You can develop applications that meet business needs faster than ever. Because AWS provides a whole host of serverless technologies and tools to help you maintain and deploy your targeting applications. We hope, this blog helps you to understand which topics you have to pay attention to when starting with serverless development.

We’d love to hear about how you use Serverless in your projects. Clap if it increased your knowledge and help it reach more people by sharing on social media and websites. If you are interested to build a Serverless Application with us then contact us by visiting on google with “INVENTAM TECH SOLUTION” name and “Contact Us” for more discussion. Don’t get left behind on one of the most significant trends in the mobile application development today.

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