serverless architecture hochskalierbare anwendungen ohne...

Serverless Architecture – Hochskalierbare Anwendungen ohne

Server

Sascha Möllering,

Solutions Architect

Agenda

• Serverless Architecture

• AWS Lambda

• Amazon API Gateway

• Amazon DynamoDB

• Amazon S3

• Serverless Framework

• Q&A

Background

How serverless architecture patterns with AWS Lambda are the next evolution of application design

The Monolithic Architecture

The Service-Oriented Architecture

Presentation Tier Logic Tier

Data Tier

The Microservices Architecture

Why serverless architectures?

• No servers to manage and scale

• Run at scale

• Respond quickly to events

• Only pay for compute time that you use

• Developer productivity

Serverless microservice architecture

Amazon S3

Static Content

AWS Lambda

Backend Logic

Web client

End user

Amazon API Gateway

REST Interface

Amazon

DynamoDB

Messages Data Store

AWS Lambda

AWS compute offerings

Amazon EC2Resizable virtual

servers in the

cloud

Amazon ECSContainer management

service for running

Docker on EC2

AWS LambdaServerless compute, run

code in response to

events

Benefits of using Lambda

Continuous ScalingNo Servers to Manage

Lambda automatically

scales your application by

running code in response

to each trigger. Your code

runs in parallel and

processes each trigger

individually, scaling

precisely with the size of

the workload.

Subsecond Metering

With Lambda, you are

charged for every

100 ms your code

executes and the number

of times your code is

triggered. You don’t pay

anything when your code

isn’t running.

Lambda automatically

runs your code without

requiring you to provision

or manage servers. Just

write the code and

upload it to Lambda.

AWS Lambda – How it works

Bring your own code

• Node.js, Java, Python

• Java = Any JVM based

language such as Scala,

Clojure, etc.

• Bring your own libraries

Flexible invocation paths

• Event or RequestResponse

invoke options

• Existing integrations with

various AWS services

Simple resource model

• Select memory from 128MB

to 1.5GB in 64MB steps

• CPU & Network allocated

proportionately to RAM

• Reports actual usage

Fine grained permissions

• Uses IAM role for Lambda

execution permissions

• Uses Resource policy for

AWS event sources

AWS Lambda – Use Cases

Data ProcessingExecute code in response

to changes in data, shifts in system state, or actions by

users

Control SystemsCustomize responses and

response workflows to state and data changes

within AWS

BackendsExecute backend logic to handle requests for web, mobile, IoT, and 3rd APIs

Amazon API Gateway

Benefits of Amazon API Gateway

Create a unified API

front end for

multiple

microservices

DDoS protection

and throttling for

back-end systems

Authenticate and

authorize requests

Benefits of Amazon API Gateway

• Managed cache to store API responses

• Reduced latency and distributed denial of service (DDoS) protection

through Amazon CloudFront

• SDK generation for iOS, Android, and JavaScript

• Swagger support

• Request and response data transformation

An API call flow

Internet

Mobile apps

Websites

Services

AWS Lambda

functions

AWS

API Gateway

cache

Endpoints on

Amazon

EC2/AWS

Elastic

Beanstalk

Any other publicly

accessible endpointAmazon

CloudWatch

monitoring

API Gateway

Amazon DynamoDB

Fast, Consistent Performance

• Single-digit millisecond latency

– At any scale

• Data stored on Solid State Drives (SSDs)

• Automatic partitioning means no need for

hotspot management

Highly Scalable

• Simply specify each table’s read and

write

throughput capacity

• Increase and decrease capacity as

needed

– No upper limit

• DynamoDB manages all the scaling

behind the scenes

Flexible

Key-value store model

• Each item in a DynamoDB

table is a list of attributes

(fields) and values

• No need for every item to have

the same attributes

• Add attributes at will

Document store

• Place JSON-formatted data

into DynamoDB items for

robust, nested data structures

Amazon DynamoDB is a schemaless database

table items

Attributes (name/value pairs or JSON documents)

Amazon S3

Amazon S3 - Features

SecureData transfer over SSL,

bucket policies to manage object permissions

Available Designed for up to 99.99%

availability

DurableDurability of

99.999999999% of objects

Amazon S3 - Website Hosting

• Host static websites on Amazon S3

• HTML + JS + CSS

• Use JS to communicate with Amazon API Gateway

Amazon S3 - Website Hosting

Serverless Framework

• Open-source application framework

• Build serverless architectures

• Manages your code as well as your infrastructure (AWS

CloudFormation)

• Supports multiple languages (Node.js, Python, Java, Scala)

Serverless Framework

• Functions: AWS Lambda function, independent unit of deployment

• Events: Anything that triggers an AWS Lambda Function

• Resources: AWS infrastructure components which your Functions use

• Service: Framework's unit of organization (project file)

• Plugin: overwrite or extend the functionality of the Framework

Serverless Framework

• serverless.yml: Contains Resources

• src/*: Contains Functions

• package.json: Dependencies

• event.json: Test event (local testing)

Demo

Summary

• Serverless Architecture is cost effective and highly scalable

• Focus on business success

• Increased developer productivity

A Call to Action

Go build something!

Amazon API Gateway

AWS Lambda AmazonDynamoDB

aws.amazon.com/de/activate/

Everything and Anything Startups

Need to Get Started on AWS