Introduction to

Serverless

Text

By: Raza Z Sayed (rsayed@theworkinggroup.ca)

Evolution Of Computing

• On Premise Hardware/Servers (Setup Time: Weeks)

• Cloud Instances e.g. Amazon EC2, Google Compute Engine etc   (Setup Time: Minutes)

• Containers e.g. Amazon ECS, Google GKE, Kubernetes etc (Setup Time: Seconds)

Types Of Cloud Computing Models

• SaaS (Software As A Service e.g. Salesforce, Gmail, Flickr etc)

• IaaS (Infrastructure as a Service e.g. AWS EC2, Google Compute Engine, Microsoft Azure etc)

• PaaS (Platform as a Service e.g. Heroku, Google App Engine, AWS Beanstalk etc )

• BaaS (Backend as a Service e.g. Google Firebase, AWS DynamoDB, Apple CloudKit etc)

FaaS (Functions As A Service) / Serverless

Why Serverless ?

Use Cases

• Backend for web, mobile apps

• IoT (Internet Of Things)

• Data processing and manipulation

• Chatbots in AI/Machine Learning apps

How does it work

• Events trigger a function/lambda. Example events: Uploading a photo/video, User entering some text, change in temperature sensor reading etc

• New instance launched in cloud to execute the function which may generate a response

• Instance automatically deleted after function execution completes

Providers

• Amazon (AWS Lambda) . Supported languages: Node.js, Java, Python, C#, Go

• Google (Google Cloud Functions) . Supported languages: Node.js

• Microsoft (Azure Functions). Supported languages: Node.js, C#, F#

• IBM (IBM Openwhisk) . Supported languages: Node.js, Java, Python, PHP Go, Swift

• etc

Example Shopping Cart in Traditional app

Ref: https://blog.fugue.co/2016-01-31-aws-lambda-and-the-evolution-of-the-cloud.html

Example Shopping Cart in a Serverless app

Ref: https://blog.fugue.co/2016-01-31-aws-lambda-and-the-evolution-of-the-cloud.html

Benefits

• Autoscaling

• Pay per execution

• Event driven

• Security

Questions ?

Stay tuned for deep dive...

Thank You !!