Introducing AWS Lambda - Amazon Web Services (AWS) Tutorial

- [Narrator] Lambda is a compute service from Amazon AWS that allows you to run code called Lambda functions without provisioning or managing virtual servers. This runtime is scalable and can be multi-tenant without you having to manage that aspect of the environment. AWS Lambda functions offer a robust set of language support, making this technology more open for many users. AWS Lambda natively supports some of the most popular languages used in cloud native computing today, including Go, Java, and Python that we'll look at in this course. There is also native support for some other very popular languages like Ruby, C#, Node.js, and even PowerShell. In addition, Lambda has a runtime API that you can use for languages that are not natively supported to keep with the polyglot theme. Now one of the beauties of Lambda, in my opinion, is the hooks to the Lambda framework are simple. There are no complex APIs to learn or deal with for very simple or even more complex executions within the framework. Lambda as a serverless technology in the AWS ecosystem plays very nicely with other AWS offerings. Lambda can be used to process data or binary files through simple triggers in AWS. Changes in S3, RDS, or Dynamo, for instance, can trigger a Lambda function to do some meaningful work. Lambda can also be used to respond to web requests through API Gateways or CloudFront acting as web applications or web services. Data streams are a powerful option in asynchronous processing through integrations with SQS or Kinesis. And of course, we wouldn't be talking about AWS if we didn't mention IoT. And IoT is another powerful integration point with things like Alexa Skills or IoT, Iot Events, within AWS, and that isn't it. You can integrate Lambda with other Lambda functions and various other AWS services. Now AWS has provided many operational tools around Lambda to make it a truly effective system for application development. Out of the box, the console itself provides base but rich monitoring of your Lambda executions. You can also build customized dashboards if your operational needs demand it. Lambda comes with a testing framework, REI, that can provide a way to test your serverless functions without doing deployments. And when it comes time to deploy, Lambda provides many different paths, some of which we will look at through this course, including console command line and container deployments if that fits your needs. Now that we have seen what Lambda offers, let's take a look at Serverless and what it offers as a technology to developers.