AWS Serverless Use Cases

Pubblicato il: 23 gennaio 2018
sul canale di: Need for Cloud

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AWS Serverless Use Cases #rizmax
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About this preview video:

This is a free preview of my AWS training videos course "AWS Serverless Microservices Overview with Hands-on". This series explores serverless architecture using various Amazon web services like AWS Lambda, Amazon API Gateway and Amazon DynamoDB. Some course features may not be available in this preview.

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Welcome to this section on AWS Serverless Application Use Cases. Now, serverless architecture allows you to build just about any type of application or back-end service that you can think of. And we'll go over two of the most common use cases where you can use serverless architecture. These are - Web, Mobile or IoT applications and their backends and real-time data processing systems or real-time streaming data processing systems. Serverless web applications and their backends typically make use of AWS Lambda, API Gateway, DynamoDB and even S3 or Step Functions as well. End-users might interact with your applications through web, mobile smartphones, or even IoT devices. Each incoming request from the end user is typically received by one of the endpoints exposed by API Gateway. API Gateway then triggers a call to Lambda function and Lambda function then coordinates with different web services like S3 or DynamoDB to generate a response and then return that response back to the end user, possibly through the same channel like API Gateway and S3 can also be used to create the app front-end in this case. Such applications could have very unpredictable usage patterns with periods of extremely high user traffic followed by minimal traffic. And your application must be geared to handle these spikes in traffic without the need for any expensive infrastructure. With AWS Lambda, your applications can scale on demand and you pay only for what you use. And in most cases, such serverless applications require zero administration.

Now let's look at real-time data processing systems or real-time streaming data processing systems. You can use Amazon Kinesis along with Lambda, DynamoDB and S3 to create your real-time data processing systems. Real-time data processing systems typically have variable workloads and serverless approach helps here by helping with automatic scaling during high workloads and then scaling down and saving costs during the idle time. Amazon Kinesis is a service that lets you collect, process and analyze real-time streaming data from multiple sources, at any scale. You can literally process terabytes of data every hour, coming in from thousands and thousands of sources simultaneously. For example, social media streaming data from several sources can be loaded into Kinesis simultaneously and then processed in real-time using AWS Lambda and DynamoDB In this section, we discussed two of the most common use cases of AWS Serverless Architecture and these are web, mobile or IoT applications and their backends, and real-time data processing or real-time streaming data processing systems.

All this while, we have been discussing theory, theory and theory and I know it can get a little monotonous at times. So, I am so very excited to take you to the next section, where we'll do some hands-on exercise. In the next section, we'll dive into Amazon DynamoDB, which is a high-performance, highly-scalable, NoSQL database that forms the database layer of Amazon's Serverless Architecture. We'll also create a simple DynamoDB table and learn to use the DynamoDB console. Later in this course, we'll use this table to create our first serverless API using Lambda and API Gateway. So, thank you for joining me in this section. See you in the next section!

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