Azure Functions Real World Examples

Serverless Conf - London 2016Yochay Kiriaty

Serverless Patterns and Best Practices

Yochay KiriatyPrincipal Program Manager @ MicrosoftAzure / App Service Tech Evangelist Various Start Ups

https://blogs.msdn.microsoft.com/appserviceteam@yochaykyochay@microsoft.com

Agenda• Why Serverless?• Serverless patterns / Real-world examples

Event-driven/ instant scale

Sub-second billing

Abstraction of

servers

What is Serverless?

Focus on Business

LogicReduced Time To Market

Reduced DevOps

Benefits of Serverless?

CSV ?

So many options, where do I start?

Microsoft Serverless Services

Cortana Management Suite

Media ServicesStorage Traffic Manager

Visual StudioServices

OMS Management SuitMachine LearningCDNDocument DB

Search

SchedulerActive Directory Key Vault App Insights Cognitive Services Embedded Power BI

Hockey AppStream AnalyticsNotification HubIoT Hub Service Bus

Functions Logic App

Functions Programming ModelTrigger(data) Input Input

code

Output

OutputInput

Yochay to update to node.js example

Serverless Patterns

File added toBlob Storage

Transform CSV to datarows Power BIChart graphic

Scenario Azure service event processing

Tasks/ Activities Protect against

API DDOS Dynamically

configure CloudFlare (Block IP)

Source: https://www.troyhunt.com/azure-functions-in-practice/

Block IP

Q msgIP 2 block

Blob Replication

DDOS

Site

Source: https://www.troyhunt.com/azure-functions-in-practice/

Tasks/ Activities Protect against

API DDOS Dynamically

configure CloudFlare (Block IP)

Source: https://www.troyhunt.com/azure-functions-in-practice/

Before ServerlessSetup a VM/

Container/ WebJobsBuild/ patch/ deploy

(OS)Monitor infra (VM/

Container)Use Azure SDKManage CloudFlare

credsUse CLoudFlare API

Using ServerlessSetup a VM/

Container/ WebJobsBuild/ patch/ deploy

(OS)Monitor infra (VM/

Container)Use Azure SDKManage CloudFlare

credsUse CLoudFlare API

Functions Programming Model - Best Practices

• Functions should “do one thing”

1

Every 15 minutes Clean tableFind and clean invalid data

Scenario Timer based processing

Tasks/ Activities Replicate logs

from one data center to another

Analyze the logsTake action

based on data

FTP Download Function

Blob Replication

Blob Storage Cold Storage

Abnormal behavior

Stream analytics

Before ServerlessSetup a VM/

Container/ WebJobsBuild/ patch/ deploy

(OS)Monitor infra (VM/

Container)Manage FTP credsUse FTP libraryUse Azure SDK

Tasks/ Activities Replicate logs

from one data center to another

Analyze the logsTake action

based on data

Using ServerlessSetup a VM/ Container/

WebJobsBuild/ patch/ deploy

(OS)Monitor infra (VM/

Container)Manage FTP creds, but

with automation with dynamic settings

Use FTP libraryUse Azure SDK

FTP Download Function

Blob Replication

Blob Storage Cool Storage

Abnormal behavior

Blob Replication

Blob Storage Cold Storage

Abnormal behavior

FTP Download Manager Function

Single Folder Single Folder Single Folder

Functions Programming Model - Best Practices

• Functions should finish as quickly as possible

Millionsof devices feedinto Stream Analytics

Store data inSQL Online

Transform to structured data

Scenario Real-time stream processing

Tasks/ Activities Collect tweetsAnalyze tweetsDisplay rich

analysis

Collect Tweets

Logic App

Analyze Tweets

Store Data

Store Data

Tasks/ Activities Collect tweetsAnalyze tweetsDisplay rich

analysis

Before ServerlessSetup a VM/ Container/

WebJobsBuild/ patch/ deploy

(OS)Monitor infraConnect (auth)to

twitter Using Twitter API (SDK)Analyze tweetsBuild rich client to

show results

Using ServerlessSetup a VM/ Container/

WebJobsBuild/ patch/ deploy

(OS)Monitor infraConnect (auth)to

twitter Using Twitter API (SDK)Analyze tweetsBuild rich client to

show results

Functions Programming Model - Best Practices

• Functions should be stateless• Functions should be idempotent

Using digital insights to optimize transactions in the real world

Plexure

EVENT SWARM ENGAGEMENT CHANNELS

FLEXIBLE BIG DATA PIPELINE

INTELLIGENCE PIPELINE

3RD PARTY

EVENT INGESTION ENGINE

SQL DATA WAREHOUSE

DATA LAKE STORAGE & ANALYTICS

STREAMANALYTICS

WEBCUSTOM

SERVICES

WEARABLES

POS

DIGITAL DISPLAYS

BOTS

KIOSKS

MOBILE APP

SENSORS

OMNI CHANNEL ENGAGEMENT

WORKFLOW ORCHESTRATION

ENTERPRISE INTEGRATION

CUSTOM INTELLIGENCE

INTELLIGENTSERVICES

CUSTOMFUNCTIONS

MACHINELEARNING

COGNITIVESERVICES

EXISTING

NEW

API GATEWAY

API GATEWAY

Event-driven/ instant scale

Sub-second billing

Abstraction of

servers

What is Serverless?

Functions Programming Model - Best Practices

• Functions should “do one thing”• Functions should finish as quickly as possible• Functions should be stateless• Functions should be idempotent

1

Building Serverless Apps With Azure FunctionsInstead of …• pulling –> triggers • ‘SDK’ –> bindings• routes in a Web App (server) –> single function• writing large functional tests against a server –> functional

tests look more like unit tests per function.• building and deploying servers –> deploy collections of

Functions

• Thick clients & stateless backends• Statless Scale• SPA (Angular /React) are your friend (enable CORS )

• Sync works, but Async rocks! • Async Scale• Async, queue based systems are more resilient• Read and internalize the reactive manifesto - http://www.reactivemanifesto.org/

• Live and die by the cloud• Develop on the cloud, test on the cloud, ship on the cloud• Lots of different services • Not just FaaS, but use other serverless tech that best solves the problem (like

Logic Apps)

Serverless Architecture- Best Practices

Microsoft and ServerlessTry Functions – https://functions.azure.comTry App Service – https://tryappservice.azure.com