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A short class with Sarah and her students. The other ways are under More.
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Today, we're going to learn about AWS Lambda. Can anyone tell me what they think 'serverless computing' means?
I think it means you don't have to manage any servers while running your applications.
So, everything runs in the cloud?
Exactly! AWS Lambda is an example of serverless computing. It enables you to run code in response to various events without provisioning servers. Now, why do you think this is beneficial?
Maybe because it saves time on setup and maintenance?
That's right! It allows developers to focus on writing code instead of managing infrastructure. Remember, with Lambda, you only pay for the compute time your code runs.
So, there are no costs when the code isn't running?
Correct! This pay-per-use model is a key advantage. Let's now look into typical event sources that trigger Lambda functions.
Can anyone list some events that might trigger a Lambda function?
How about uploading files to S3?
Or changes in a DynamoDB table?
Great! Both are valid examples. Other triggers include receiving HTTP requests via API Gateway and scheduled events. Each of these triggers can initiate a Lambda function automatically.
Can you give an example of a real-world use case?
Of course! For instance, you can create thumbnails for images uploaded to S3. When an image is uploaded, it triggers a Lambda function that processes the image and saves the thumbnail back to S3. This eliminates the need for manual processing.
So Lambda handles everything, including scaling?
Exactly! AWS manages the scaling automatically, so you can focus on building your application.
A design model where applications are run on cloud services without direct server management.
The actual code that is executed within the AWS Lambda environment.
A programming paradigm where actions are initiated by events like uploads or API calls.
With Lambda running code with ease, no servers to manage, just a breeze.
Imagine a chef in a cloud kitchen, preparing dishes (your code) when hungry customers (events) place orders; no need to maintain the kitchen - everything is handled automatically!
Remember 'L.A.M.B.D.A' – where L is for 'Lambda', A is for 'Automatic', M for 'Managed', B for 'Billing by milliseconds', D for 'Dynamic Scaling', and A for 'Any events'.
Think of S.C.A.L.E. - S for 'Serverless', C for 'Cloud', A for 'Automatic', L for 'Lambda', E for 'Events-triggered'.
Term
What does AWS Lambda do?
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Term
How are dependencies managed in AWS Lambda?
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A serverless computing service by AWS that runs code in response to events without the need for server management.
A method where the cloud provider dynamically manages the allocation of resources, allowing developers to write code without managing servers.
The code that you upload to AWS Lambda, which can be triggered by events.
Triggers that can initiate Lambda functions, such as HTTP requests, file uploads, or database changes.
AWS Lambda is a serverless compute service that allows users to run code without managing servers, scaling automatically based on demand.
AWS Lambda enables developers to run code in response to events without provisioning or managing servers. By uploading a Lambda function, AWS handles all the operational workloads, offering benefits such as automatic scaling and a pay-per-use billing model.
AWS Lambda is a serverless compute service provided by Amazon Web Services (AWS) that lets developers run code without the need for provisioning or managing any servers. Instead of traditional server-based environments, users can upload their code, known as a Lambda function, and AWS Lambda automatically takes care of all the infrastructure, including scaling, patching, and administration.
One practical application of AWS Lambda can be seen in an automatic thumbnail creation workflow—for instance:
This workflow allows developers to avoid managing the underlying servers or manual scaling processes, providing operational efficiency.