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In this video, we are going to talk about eight main features.

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As you remember that a lambda is a complete service that lets you run code without provisioning or managing

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any servers.

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So now let's focus on a Lambda Main features.

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The first feature is cost saving with pay as you go model.

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Customers charged based on the allocated memory and the amount of the execution time the function finished.

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You only pay for the complete time and there is no charge when your code is not running a place.

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Lambda Billing is based on used memory.

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The number of requests and the execution duration rounded up the nearest 100 milliseconds.

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So pay as you go pricing model with a double is free tier.

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It's very generous and it is one of the most greatest features for the cost saving.

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And the second feature is event driven architecture with ADA.

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Lambda Lambda is on demand compute service that runs code in response to events.

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So most services generate events and many can act as an event source for a lambda.

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Within lambda, your code is stored in a code deployment package and contains an event handler.

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All interactions with the code occurs through the Lambda API and there is no direct invocation of function

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from outside of the service.

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The main purpose of a lambda is to process events.

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You can also see the image on slide a lambda API, accepting the events and triggers the actual function

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code inside of the Lambda Service and even triggering a lambda function could be almost everything from

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an HTTP request via Amazon API gateway or a schedule managed by Amazon Event Breach Rule or an Amazon

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S3 notification.

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You can see also on this slide, there are several events can be triggered.

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Lambda function.

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Even the simplest lambda based application uses at least one event.

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So lambda is fully event driven resources.

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We can see in the image of the example of getting a Lambda function API Gateway S3 bucket and event

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rule.

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And the other feature is scalability and availability.

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With Lambda, you can run code for virtually any type of applications or backend services, all with

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zero administration.

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So you basically upload your code and run your code and scale your code automatically with high availability.

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A double Islam that can instantly scale up to a large number of concurrent executions.

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It is controlled by the number of concurrent execution parameters in the lambda.

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It is a configurable parameter and also scaling down is performed automatically.

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When the lambda function is finished, the executing all the resource associated with its are automatically

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destroyed.

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It is also a great feature.

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It is scaled very fast and also scaling down very fast too.

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Another feature is supporting multiple languages and frameworks.

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A double is Lambda has native support for a number of programming languages, including Java, Go,

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PowerShell, Node.js, C-sharp, Dot Net and Ruby Code, and it provides a runtime API that lets you

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use any additional programming language in order to write your functions.

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So these are the main features of the ADA lambda and also we will follow the ADA Lambda Key features.

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There are several key features help you develop a lambda application that are scalable, secure and

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easily extensible.

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Let me overview for the key features the concurrency and scaling controls concurrent scaling controls

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such as concurrency limits and provision concurrency.

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It is giving you granular control over the scaling and response responsiveness of production application.

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So this is also one of the good feature, at least Lambda, and it is configurable with the provision

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concurrency and concurrency limits on the lambda.

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And we can say that the functions defined as a container remains.

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Using your preferred container, image, tools, workflows or dependencies to build, test and deploy

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your lambda functions.

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It is all flexible with using database functions defined as a container remains.

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Another thing we can say the code signing for Lambda provides trust and integrity checks in your lambda

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functions.

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It is allowed to verify that only unmodified code published by approved developers and distributed.

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And we can say that Lambda has extensions.

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You can use Lambda Extension extensions to augment your lambda functions.

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For example, use extensions to more easily integrate Lambda with your favorite tools for monitoring

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observability, security and governance and Lambda Functions has plans.

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A function plan provides sample code that demonstrates how to use a Islam with other ADA services or

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third party applications.

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The plans include sample code and function configuration, which is present with the Node.js and Python

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runtimes, for example.

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So another key features we can say that database access, a database proxy, manages a pool of database

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connections and forward queries from a function.

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This allows the function to achieve high concurrency levels without consuming database connections.

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And lastly, I would like to say file system access.

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You can configure a lambda function to mount to Amazon elastic file system for the file system and local

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directory access with Amazon.

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If is your function code can access and modify shared resource securely and with high concurrency.

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So in the next video we are going to see a lambda event sources and destination theory services.