Microservices without the Servers: AWS Lambda in Action

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Silvia Payne
6 years ago
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2 Two Minute AWS Lambda Origin Story

3 Evolution of Storage Objects (files) Disks Data Center

4 Evolution of Storage: Cloud Store Amazon S3

5 Sharing = Lower Costs Amazon S3

6 Evolution of Storage Compute Functions Server Racks / VMs Data Center

7 Evolution of Compute Containers Amazon EC2 Container Service (ECS)

8 Evolution of Compute Amazon EC2 Container Service (ECS)

9 Evolution of Compute Amazon EC2 Container Service (ECS)

10 Evolution of Compute Containers Amazon EC2 Container Service (ECS)

11 Evolution of Compute Containers Amazon EC2 Container Service (ECS)

12 Evolution of Compute Containers Amazon EC2 Container Service (ECS)

13 Evolution of Compute: Lambda AWS Lambda

14 Sharing = Lower Costs AWS Lambda

15 The 2015 LinuxCon Challenge Build an image-processing microservice that Scales per request Can run native binaries and executables/processes Requires no deployment effort Fault tolerant and multi-region Includes both web and mobile clients

16 The Catch Do it without: Servers Monolithic app or explicit web service Explicit code for scaling or fault tolerance Paying for idle time and get it done in 45 minutes!

17 Serverless Microservice Architecture Static web content served from Amazon S3 Web Client Mobile Client Amazon API Gateway AWS Lambda + ImageMagick

18 Step 1 An ImageMagick Server in AWS Lambda

19 What we re going to do 1. Create an AWS Lambda function 1. Choice of languages (Java, nodejs, Scala, Clojure, ). We ll use nodejs to make it easy to edit in the console. 2. With nodejs on Lambda, ImageMagick is built in but you could also use PIL or 3 rd party libraries (even native ones). 2. Add a little code to indicate which command to run (convert, thumbnail, get metadata, etc.)

20 Diving Deeper: Resource Sizing AWS Lambda offers 23 power levels Higher levels offer more memory and more CPU power 128 MB, lowest CPU power 1.5 GB, highest CPU power Higher power levels == lower latency for CPUbound and bursty tasks Compute price scales with the power level

21 Step 2 Mobile App

22 Lambda Function == Mobile Backend AWS Lambda hosts and scales the code AWS Mobile SDK on the device ios, Android/Fire, Xamarin, Unity Device and user context sent automatically Mobile App AWS Lambda

23 What we re going to do 1. Create an app in Android studio, 2. Using Amazon Cognito to authenticate, 3. And a simple POJO to send images and commands to our AWS Lambda function

24 Step 3 Build a (serverless) multi-region deployment system

25 AWS Lambda Regions NEW Tokyo launched 6/29 AWS Lambda Region

26 Building a single-region Auto-Deployer Lambda ZIP Deployment Function Amazon S3 Bucket AWS Lambda

27 Building a multi-region Auto-Deployer Lambda ZIP Ireland Deployment Function Cross- Region Replication Amazon S3 Bucket Deployment Function AWS Lambda Tokyo Amazon S3 Bucket AWS Lambda

28 What we re going to do 1. Take a few lines of code that deploy an AWS Lambda function from Amazon S3 to a single region. 2. Turn it into an Amazon S3 event handler. 3. Upload our image processing microservice. 4. Turn on S3 cross-region replication. 5. Watch our function deploy automagically!

29 Step 4 Enable Web Clients using Amazon API Gateway

30 Serverless Microservice Architecture Static web content served from Amazon S3 Web Client Mobile Client Amazon API Gateway AWS Lambda + ImageMagick

31 Amazon API Gateway Host multiple versions and stages of your API Create and distribute API keys to developers Throttle and monitor calls Cache responses Transform data Generate SDKs (including Swagger support)

32 What we re going to do 1. Create and populate an image processing API 2. Test it from within Amazon API Gateway 3. Deploy it Not shown and needed for demo: CORS (see docs) Not shown, but supported: Vanity URL

33 Step 5 Testing

34 AWS Lambda as a Scalable Testing Platform Unit Testing Function HTTPS Invoke Function Image Processing Microservice Outcome stored in Amazon DynamoDB

35 AWS Lambda as a Scalable Testing Platform Unit Testing Function HTTPS Invoke Function Image Processing Microservice Unit Testing Function HTTPS Invoke Function Image Processing Microservice Load Testing Function Unit Testing Function Unit Testing Function HTTPS Invoke Function HTTPS Invoke Function Image Processing Microservice Image Processing Microservice

36 What we re going to do 1. Call our URL endpoint from within Lambda. 2. Turn this into a unit test by storing the outcome in Amazon DynamoDB. 3. Turn this into a load test by doing it N times.

37 Step 6 A Serverless Website using Amazon S3

38 What we re going to do 1. Create a single page webapp 2. Configure S3 bucket for static website content 3. Test in a browser

39 More Bells and Whistles

40 Features you can add 1. Make a photo-sharing site: Add OAuth to the mobile app with Amazon Cognito user identity. 2. Add client-side analytics with Amazon Mobile Analytics. 3. Add server-side telemetry using Amazon Kinesis + Lambda. 4. Bring your own image processing libraries (native code is supported).

41 What else can you do with AWS Lambda? Scalable IoT Backends NoSQL DB Triggers Extending Platforms Adding a Feature to Amazon S3 Real-Time Streaming Analysis

42 Join the serverless revolution!

43 Go to the AWS Lambda console, create a function, and run it. (The first million invokes are on us!)

44 Congrats, you re a Lambda function expert! Add an event source or an HTTP endpoint.

45 Build the world s easiest mobile backend. (Hint: Start with the built-in CRUD sample!)

46 Follow AWS Lambda aws.amazon.com/blogs/compute aws.amazon.com/lambda AWS Lambda Forum

47 Come Meet the Team! WHERE Mayflower Park Hotel 405 Olive Way WHEN Wednesday, August 19, :00-7:00pm

Serverless Architecture Hochskalierbare Anwendungen ohne Server. Sascha Möllering, Solutions Architect

Serverless Architecture Hochskalierbare Anwendungen ohne Server Sascha Möllering, Solutions Architect Agenda Serverless Architecture AWS Lambda Amazon API Gateway Amazon DynamoDB Amazon S3 Serverless Framework