Serverless beyond Functions

7c9b8b368924556d8642bdaed3ded1f5?s=47 Danilo Poccia
September 29, 2017

Serverless beyond Functions

JeffConf, Milan, September 29th, 2017

One of the great advantages of serverless development is the possibility to “chain” multiple functions together, and design event-driven architectures. Applications built in this way are easier to keep under control, because our human minds are much better in looking for cause-effect relationships than understanding a complex workflow. But it is time now to go beyond that, considering serverless in its broader definition of building applications “without thinking about servers”, and use all available tools.

7c9b8b368924556d8642bdaed3ded1f5?s=128

Danilo Poccia

September 29, 2017
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    © 2017, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Danilo Poccia, Technical Evangelist @danilop Serverless beyond Functions Jeff
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    Lambda Function Trigger Do whatever you want: It’s Your Code!

    S3 Bucket Amazon API Gateway DynamoDB Table AWS IoT Rule Much More! Amazon CloudWatch
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    Serverless Case Studies PhotoVogue is an online photography platform. Launched

    in 2011 and part of Vogue Italia - which is owned by Condé Nast Italia - it allows upcoming photographers to showcase their work. The Benefits Quicker provisioning, from days to hours 90% faster Cut IT costs by around 30% Seamless scalability Amazon S3 AWS Lambda Amazon API Gateway Amazon CloudFront “With Amazon API Gateway and AWS Lambda, the user experience is up to 90% faster. That's for both photographers uploading images and the editorial team processing them.” Marco Viganò Head of Digital Development
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    Serverless Case Studies F-Secure Increases Customer Insight and Speeds Up

    Activation Using AWS “We’ve shown the rest of the company that we can put our ideas into action faster and save 70% on infrastructure costs by using AWS compared to running hardware on- premises…. We’re inspiring a shift toward the cloud, and microservices in particular, because of these great benefits.” Niina Ojala Service Lead
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    Serverless Case Studies UK Driver and Vehicle Licensing Agency Supports

    Secure, Data-Driven Innovation “We are decomposing our applications into smaller, discrete components so we can choose the most appropriate technology” An API-First Approach “We stood up a working prototype in just a few days using Amazon API Gateway. The speed with which we were able to deliver it was unprecedented” Matt Lewis Chief Architect, Driver and Vehicle Licensing Agency AWS Lambda Amazon API Gateway
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    Deploying SAM templates aws cloudformation package --template-file template.yaml --output-template-file template-output.yaml

    --s3-bucket <BUCKET> --s3-prefix <PREFIX> aws cloudformation deploy --template-file ./template-output.yaml --stack-name <STACK_NAME> --capabilities CAPABILITY_IAM
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    Snowball Edge Use Cases “Snowball Edge enables us to extend

    the innovative capabilities of HealthSuite, our cloud- enabled connected health ecosystem of devices, applications and digital tools supported by AWS, even when there is no network support.” Embedded Applications —Dale Wiggins, Business Leader, HealthSuite digital platform, Philips
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    Snowball Edge Use Cases “With AWS Snowball Edge, we can

    now collect 100 TB of data with no intermediate steps, and we can also analyze the images immediately using the onboard compute capabilities.” Remote Locations for data collection and analysis — Bob Cowen, Director of Hatfield Marine Research Center, Oregon State University
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    AWS Lambda@Edge Customize content delivery while reducing load on the

    origin Events / Triggers Take serverless to your users
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    Lambda@Edge Use Cases These processes include applying transactional labels to

    purchases so Blockbuster can track customer activity, and providing personalized recommendations based on previous purchases. Blockbuster runs serverless compute processes across AWS Regions and Amazon CloudFront edge locations (using Lambda@Edge) without provisioning or managing servers.
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    Web Browser CloudFront Edge Location S3 Bucket HTTPS Amazon Cognito

    Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS)
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) HTTPS Dynamic Content Database Access Execute Functions Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS)
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Execute Functions Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS)
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) AWS IoT Rule(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Subscribe Republish Execute Functions Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS)
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) AWS IoT Rule(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Subscribe Republish Execute Functions Execute Functions Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS) Publish
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) AWS IoT Rule(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Subscribe Republish Execute Functions Write to DynamoDB Execute Functions Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS) Publish
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) AWS IoT Rule(s) Kinesis Stream(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Subscribe Republish Execute Functions Streaming Data Write to DynamoDB Execute Functions Execute Functions (Micro-Batches) Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS) Publish
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    Web Browser CloudFront Edge Location S3 Bucket Amazon API Gateway

    Lambda Function(s) DynamoDB Table(s) AWS IoT Topic(s) AWS IoT Rule(s) Kinesis Stream(s) HTTPS Dynamic Content Database Access MQTT over Secure WebSockets (Publish, Subscribe) Subscribe Republish Execute Functions Streaming Data Write to DynamoDB Execute Functions Execute Functions (Micro-Batches) Amazon Cognito Authentication (AWS Temporary Credentials) Static Content (HTML, CSS, JS) Publish
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    Web Browser AWS IoT Topics chat/in/${iot:ClientId} chat/out chat/pub/${room} chat/stream $aws/events/#

    Each client has a secure “input” topic to receive content from the back end All client can publish on an “output” topic, they are recognizable by their clientId All client can subscribe and receive from “public” topics Another “output” topic optimized for high volumes AWS IoT Lifecycle Events
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    Web Browser AWS IoT Topics AWS IoT Rules chat/in/${iot:ClientId} chat/out

    chat/pub/${room} chat/stream $aws/events/# Each client has a secure “input” topic to receive content from the back end All client can publish on an “output” topic, they are recognizable by their clientId All client can subscribe and receive from “public” topics Another “output” topic optimized for high volumes AWS IoT Lifecycle Events Lambda function to process important messages, such as a new client connection Republish rule to send messages to the corresponding room public topic Lambda function to process high volume dreaming data Kinesis Stream to manage high volume streaming data Lambda function to process AWS IoT Lifecycle Events Store all messages in a database, to be sent to the client on connection
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    Web Browser AWS IoT Topics AWS IoT Rules chat/in/${iot:ClientId} chat/out

    chat/pub/${room} chat/stream $aws/events/# Each client has a secure “input” topic to receive content from the back end All client can publish on an “output” topic, they are recognizable by their clientId All client can subscribe and receive from “public” topics Another “output” topic optimized for high volumes AWS IoT Lifecycle Events Lambda function to process important messages, such as a new client connection Republish rule to send messages to the corresponding room public topic Lambda function to process high volume dreaming data Kinesis Stream to manage high volume streaming data Lambda function to process AWS IoT Lifecycle Events Store all messages in a database, to be sent to the client on connection You can use this topic to inject JavaScript code in the browser
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    Functional Programming Transforming Data Using Expressions (Functions) Without Side Effects

    Immutable Data Pure Functions Higher-Order Functions From “Research Topics in Functional Programming” ed. D. Turner, Addison-Wesley, 1990, pp 17–42. 1 Why Functional Programming Matters John Hughes The University, Glasgow Abstract As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write and to debug, and provides a collection of modules that can be reused to reduce future programming costs. In this paper we show that two fea- tures of functional languages in particular, higher-order functions and lazy evaluation, can contribute significantly to modularity. As examples, we manipulate lists and trees, program several numerical algorithms, and im- plement the alpha-beta heuristic (an algorithm from Artificial Intelligence used in game-playing programs). We conclude that since modularity is the key to successful programming, functional programming o↵ers important advantages for software development. 1 Introduction This paper is an attempt to demonstrate to the larger community of (non- functional) programmers the significance of functional programming, and also to help functional programmers exploit its advantages to the full by making it clear what those advantages are. Functional programming is so called because its fundamental operation is the application of functions to arguments. A main program itself is written as a function that receives the program’s input as its argument and delivers the program’s output as its result. Typically the main function is defined in terms of other functions, which in turn are defined in terms of still more functions, until at the bottom level the functions are language primitives. All of these functions are much like ordinary mathematical functions, and in this paper they will be 1 An earlier version of this paper appeared in the The Computer Journal, 32(2):98–107, April 1989. Copyright belongs to The British Computer Society, who grant permission to copy for educational purposes only without fee provided the copies are not made for direct commercial advantage and this BCS copyright notice appears. https://www.cs.kent.ac.uk/people/staff/dat/miranda/whyfp90.pdf
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    map(f, [x1, x2, …, xn]) = [f(x1), f(x2), …, f(xn)]

    Higher-Order Functions filter(f, [x1, x2, …, xn]) = [xi if f(xi) is true] count([a, b, a, c, a, b]) = {a: 3, b: 2, c: 1}
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    Lambda Functions + Step Functions Lambda Function Input State Machine

    Output translate create execute Tasks State passing (Immutable Data) Tasks are performed only if required (Lazy Evaluation) A Lambda Function dynamically creating a State Machine executing the logic
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    © 2017, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Danilo Poccia, Technical Evangelist @danilop Serverless beyond Functions Jeff