9+ Aws Lambda 使い方 References

AWS Lambda and Infrastructure as Code from www.metaltoad.com

What is AWS Lambda?

For those who are not familiar with AWS Lambda, it is a serverless computing service that allows you to run code without provisioning or managing servers. AWS Lambda is highly scalable, cost-efficient, and flexible, making it an ideal solution for developers who want to create powerful applications without worrying about the underlying infrastructure.

How Does AWS Lambda Work?

When you create a function in AWS Lambda, you upload your code to the service, and then Lambda automatically handles the deployment and scaling of your code. When your function is triggered, Lambda spins up a new container to execute your code and then shuts it down when the execution is complete. This means that you only pay for the compute time that your code needs to run, making it a highly cost-effective solution.

Why Use AWS Lambda?

There are several reasons why developers choose to use AWS Lambda. Firstly, it is highly scalable, meaning that it can be used to handle a large number of requests without any issues. Secondly, it is cost-efficient, as you only pay for the compute time that your code needs to run. Thirdly, it is flexible, as it supports a wide range of programming languages, including Node.js, Python, Java, and C#. Finally, it is easy to use, as you can create and deploy your functions in just a few clicks.

How to Use AWS Lambda

Getting started with AWS Lambda is easy. Firstly, you need to create an AWS account if you don’t already have one. Once you have an account, you can create a new Lambda function by following these steps:

Log in to the AWS Management Console.
Click on “Lambda” in the “Compute” section.
Click on “Create Function”.
Select your preferred programming language.
Write your code or upload a ZIP file containing your code.
Configure your function’s settings, such as its memory allocation and timeout settings.
Test your function to make sure it works as expected.
Deploy your function to start using it.

Best Practices for Using AWS Lambda

When using AWS Lambda, there are several best practices that you should follow to ensure that your functions are secure, reliable, and performant. These include:

Limiting the amount of time that your functions run for to avoid incurring unnecessary costs.
Using environment variables to store sensitive information, such as API keys and database credentials.
Monitoring your functions using AWS CloudWatch to detect any errors or issues.
Using version control to keep track of changes to your code.
Optimizing your functions’ memory usage to reduce their execution time.

Conclusion

AWS Lambda is a powerful and flexible serverless computing service that can help you create powerful applications quickly and easily. By following best practices and taking advantage of its scalability, cost-efficiency, and ease-of-use, you can create applications that are secure, reliable, and performant.