AWS Lambda is a compute service where you can upload your code and create a Lambda function. AWS Lambda takes care of provisioning and managing the servers that you use to run the code. You don't have to worry about operating systems, patching, scaling, etc. You can use Lambda in the following ways:
- Event-driven compute service where AWS Lambda runs your code in response to events. These events could be changes to data in an Amazon S3 bucket or an Amazon DynamoDB table.
- As a compute service to run your code in response to HTTP requests using Amazon API Gateway or API calls made using AWS SDKs.
The history of cloud has consisted of layer after layer of abstraction. The first of these was the Data Center. In 2006, Amazon introduced EC2. You could create servers from your command line. This was the basis of Infrastructure as a service (IaaS). Platform as a service (PaaS) was a new innovation where you only had to upload your code and a company would handle the rest. For Amazon, this was Elastic Beanstalk. You were still managing the operating system here. Containers were the next layer of abstraction. Serverless (Lambda for Amazon) is the latest innovation. Literally all you have to worry about is your code.
Lambdas can be written in C#, Go, Java, Node.js, and Python.
In the IT world, to scale horizontally (or scale out/in) involves adding new nodes (such as launching a new computer) To scale vertically (or scale up/down) means to add resources to (or remove resources from) a single node in a system (e.g. CPUs, RAM).
Lambda will scale out (not up) automatically. If we have two users sending two HTTP requests to API Gateway, that's going to trigger two Lambda functions. It'll be the same function, but just two instances. In other words, Lambda functions are independent, 1 event = 1 function.
- API Gateway
- Alexa Skills Kit
- CloudWatch Events
- CloudWatch Logs
Of course, Lambda functions can trigger other Lambda functions. One event can trigger n functions if the functions trigger other functions.
- Number of requests
- First 1 million requests are free. $0.20 per 1 million requests thereafter.
- Duration is calculated from the time your code begins executing until it returns or otherwise terminates, rounded up to the nearest 100ms. The price depends on the amount of memory you allocate to your function. You are charged $0.00001667 for every GB-second used.
Note that Lambda functions have a maximum threshold of five minutes.
AWS Lambda supports versioning. Version enable different variations of your Lambda function for development, production, etc. Each Lambda function version has a unique Amazon Resource Name (ARN). After you publish a version, it is immutable.
AWS maintains your latest function code in the
$LATEST version. You can
refer to versioned functions using the qualified or unqualified ARN. The
qualified ARN has a version suffix:
unqualified ARN does not have a version suffix:
You can create an alias that points to a specific version of your Lambda
function. You could, for example, create a
PROD alias that points to version
5 of your function. An alias can also be used to split traffic to different
Lambda can do things globally, you can use it to back up S3 buckets to other S3 buckets etc.