Introduction to Aws lambda and build first application | Namespace IT
- 1. NamespaceIT
- 2. Let’s talk about Lambda! AWS Lambda is a service which performs server less computing, which involves computing without any server. What is serverless ? Serverless computing is a method of providing backend services on an as-used basis. A serverless provider allows users to write and deploy code without the hassle of worrying about the underlying infrastructure.
- 3. Confusion about the term “SERVERLESS” - The term ‘serverless’ is somewhat misleading, as there are still servers providing these backend services - But all of the server space and infrastructure concerns are handled by the vendor. - Serverless means that the developers can do their work without having to worry about servers at all.
- 5. How AWS Lambda Works? • Step 1 − Uploads your code in Aws lambda with supported languages. • Step 2 − These are few AWS services on which AWS lambda can be triggered. • Step 3 − Aws Lambda uploads your code and triggers some event services Amazon S3, DynamodB, mobile app, Amazon SNS, Amazon Kinesis etc. • Step 4 − Executes AWS Lambda code when triggered by AWS services like - sending email, shore data in S3 bucket, hosting websites, push notification hit on http request etc.
- 6. Scenario of server less service
- 7. 1: Static Website Hosting Create a bucket in Amazon S3 and configure it for static website hosting. The static HTML, JS, and CSS will be served directly to user browsers from Amazon S3.
- 8. 2: User Management Allow visitors to register as a new user, by providing and validating their email address. Amazon Cognito will be used to manage the User.
- 9. 3: Serverless Service Backend Create a service backend using AWS Lambda and Amazon DynamoDB to handle requests from your frontend static website content.
- 10. Advantages of using AWS Lambda • Minimized Cost • Faster Development • Easier Management • Multi Language Support • Billing based on Usage • $0.20 - per 1M requests • AWS Lambda is free by getting to AWS free tier
- 11. Disadvantages of using AWS Lambda • No Control Over Environment • Not good for small size project • More Complex Call Patterns • AWS Lambda does not allow you to install additional software if you need to add. • After executing your software and if your software needs more time to execute & needs more memory, it shows timeout and the code will not be fully executed.
- 12. AWS Lambda function code can be written in following languages − • NodeJS • Java, • Python • C# • Go.
- 13. AWS Lambda Function in Python
- 14. Step 1 : You have to login to the AWS console and then go to AWS Lambda services. Then show this screen and click to create function button -
- 15. Step 2: After clicking the create function button you will show this screen. Then give the name of function. We write our function name helloWold. Then select runtime Python.
- 17. Result:
- 18. Handler Details for Python • Note that the handler has to be the name of the file followed by the name of the function. In the above case, our file name is helloWorld.py and the name of the function is my_handler; so the handler will be helloWorld.my_handler.
- 19. Handler Details for Python def my_handler(event, context): return "aws lambda in python using zip file“ Context Object in Python Context object gives details like the name of Lambda function - Time in milliseconds - request id - timeout etc. get_remaining_time_in_millis() : This method gives the remaining time millisecond until the lambda function ends the function. function_name() : It returns function name. function_version() : It returns the version of aws lambda function executing aws_request_id() : This gives the aws request id.