Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.

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Getting Started with AWS
Lambda and Serverless
Computing
K a s h i f I m r a n – S e n i o r S o l u t i o n s A r c h i t e c t – A W S

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Why are we
here today?

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No servers to provision
or manage
Scales with usage
Never pay for idle Availability and fault
tolerance built in
Serverless means…

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SERVICES (ANYTHING)
Changes in
data state
Requests to
endpoints
Changes in
resource state
EVENT SOURCE FUNCTION
Node.js
Python
Java
C#
Go
Serverless applications

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CUSTOMERS LOVE LAMBDA

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Common serverless use cases
Web
Applications
• Static
websites
• Complex web
apps
• Packages for
Flask and
Express
Data
Processing
• Real time
• MapReduce
• Batch
Chatbots
• Powering
chatbot logic
Backends
• Apps &
services
• Mobile
• IoT
</></>
Amazon
Alexa
• Powering
voice-enabled
apps
• Alexa Skills
Kit
IT
Automation
• Policy engines
• Extending
AWS services
• Infrastructure
management

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DEMO!

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Event Driven Compute
Functions as a Service
Serverless FaaS

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Using AWS Lambda
Bring your own code
• Node.js, Java, Python,
C#, Go
• Bring your own libraries
(even native ones)
Simple resource model
• Select power rating from
128 MB to 3 GB
• CPU and network
allocated proportionately
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Flexible authorization
• Securely grant access to
resources and VPCs
• Fine-grained control for
invoking your functions

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Using AWS Lambda
Authoring functions
• WYSIWYG editor or
upload packaged .zip
• Third-party plugins
(Eclipse, Visual Studio)
Monitoring and logging
• Metrics for requests,
errors, and throttles
• Built-in logs to Amazon
CloudWatch Logs
Programming model
• Use processes, threads,
/tmp, sockets normally
• AWS SDK built in
(Python and Node.js)
Stateless
• Persist data using
external storage
• No affinity or access to
underlying infrastructure

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Fine-Grained Pricing
Buy compute time in 100ms increments
Low request charge
No hourly, daily, or monthly minimums
No per-device fees
Never pay for idle
Free Tier
1M requests and 400,000 GB-s of compute.
Every month, every customer.

12. Lambda execution model
Synchronous (push) Asynchronous (event) Stream-based
Amazon
API Gateway
AWS Lambda
function
Amazon
DynamoDBAmazon
SNS
/order
AWS Lambda
function
Amazon
S3
reqs
Amazon
Kinesis
changes
AWS Lambda
service
function

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Amazon S3 Amazon
DynamoDB
Amazon
Kinesis
AWS
CloudFormation
AWS CloudTrail Amazon
CloudWatch
Amazon
Cognito
Amazon SNSAmazon
SES
Cron events
DATA STORES ENDPOINTS
DEVELOPMENT AND MANAGEMENT TOOLS EVENT/MESSAGE SERVICES
Event sources that trigger AWS Lambda
… and more!
AWS
CodeCommit
Amazon
API Gateway
Amazon
Alexa
AWS IoT AWS Step
Functions

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Lambda permissions model
Fine grained security controls for both
execution and invocation:
Execution policies:
• Define what AWS resources/API calls can this
function access via IAM
• Used in streaming invocations
• E.g. “Lambda function A can read from
DynamoDB table users”
Function policies:
• Used for sync and async invocations
• E.g. “Actions on bucket X can invoke Lambda
function Z"
• Resource policies allow for cross account
access

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Amazon API Gateway
Internet
Mobile Apps
Websites
Services
AWS Lambda
functions
AWS
All publicly
accessible
endpoints
Amazon
CloudWatch
Monitoring
Amazon
CloudFront
Any other
AWS service
Endpoints on
Amazon EC2
AWS Step
Functions
Regional API Endpoints

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Amazon API Gateway
Create a unified
API frontend for
multiple micro-
services
Authenticate and
authorize
requests to a
backend
DDoS protection
and throttling for
your backend
Throttle, meter,
and monetize API
usage by 3rd
party developers

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AWS Step Functions
“Serverless” workflow management with
zero administration:
• Makes it easy to coordinate the
components of distributed applications
and microservices using visual
workflows
• Automatically triggers and tracks each
step, and retries when there are errors,
so your application executes in order
and as expected
• Logs the state of each step, so when
things do go wrong, you can diagnose
and debug problems quickly
Task
Choice
Failure capture
Parallel Tasks

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Lambda + Kinesis
Amazon
Kinesis
AWS
Lambda 1
Amazon
CloudWatch
Amazon
DynamoDB
AWS
Lambda 2 Amazon
S3
Real Time Data Processing:
1. Real-time event data sent to Amazon Kinesis,
allows multiple AWS Lambda functions to
process the same events.
2. In AWS Lambda, Function 1 processes and
aggregates data from incoming events, then
stores result data in Amazon DynamoDB
3. Lambda Function 1 also sends values to
Amazon CloudWatch for simple monitoring of
metrics.
4. In AWS Lambda function, Function 2 does data
manipulation of incoming events and stores
results in Amazon S3
https://s3.amazonaws.com/awslambda-reference-architectures/stream-processing/lambda-refarch-streamprocessing.pdf

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Amazon Lex
Service for building conversational interfaces
into any application using voice and text
Automatic speech recognition (ASR) for
converting speech to text
Natural language understanding (NLU) to
recognize the intent of messages
Powered by the same deep learning
technology as Alexa
Fully managed service

20. “Book a Hotel”
“Can I go ahead
with the booking?
“Book a Hotel in
NYC”
Automatic Speech
Recognition
Hotel Booking
New York City
Natural Language
Understanding
Intent/Slot
Model
UtterancesHotel Booking
City New York City
Check In Nov 30th
Check Out Dec 2nd
“Your hotel is booked for
Nov 30th”
Amazon Polly
Confirmation: “Your hotel
is booked for Nov 30th”
Book Hotel
NYC
a
in

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Serverless Distributed Computing: PyWren
PyWren Prototype Developed at University of California, Berkeley
Uses Python with AWS Lambda stateless functions for large scale data
analytics
Achieved @ 30-40 MB/s write and read performance per-core to S3 object
store
Scaled to 60-80 GB/s across 2800 simultaneous functions

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Build PCI and HIPAA compliant serverless applications!
Serverless platform services that can be used in both:
AWS
Lambda
Amazon
S3
Amazon
CloudFront
Amazon
DynamoDB
Amazon
Kinesis
Streams
Amazon
Cognito
Amazon API
Gateway
Amazon
SNS

23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What is a Serverless Web Application?
S3 stores all of your static
content: CSS, JS, Images, etc.
You would typically front this
with a CDN such as Amazon
CloudFront
API Gateway handles all of
your application routing. It can
handle authentication and
authorization, throttling, DDOS
protection and more
Lambda runs all of the logic
behind your website and
interfaces with databases,
other backend services or
anything else your site needs
Amazon
S3
Amazon
API Gateway
AWS Lambda
Amazon
CloudFront

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Amazon S3
Amazon S3 is cloud storage for the
Internet:
• Object-based storage
• 11 9s of durability
• “Infinitely scalable”
• Objects up to 5 TB in size
• Good for things like the following:
• Static assets (CSS, JS, images,
HTML)
• Backups
• Logs
• Customer records
• Media files
• Can host static websites
• Supports fine-grained permission control
• Acts as a logging endpoint for AWS
services such as Amazon CloudFront,
AWS Elastic LoadBalancer, AWS
CloudTrail and many more!
• Ties in with many AWS data services:
Amazon Athena, Amazon Elastic
MapReduce, Amazon RedShift Spectrum
• Supports encryption at transit and at rest
Amazon S3

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Amazon CloudFront
Amazon CloudFront is a web service for scalable
content delivery:
• Cache static content at the edge for faster delivery
• Helps lower load on origin infrastructure
• Dynamic and static content
• Streaming video
• Zone apex support
• Custom SSL certificates
• Low TTLs (as short as 0 seconds)
• Lower costs for origin fetches (between Amazon
S3/Amazon EC2 and Amazon CloudFront)
ResponseTime
ServerLoad
Response
Time
Server
Load
Response
Time
Serve
rLoad
No CDN CDN for Static
Content
CDN for Static &
Dynamic Content
0
10
20
30
40
50
60
70
80
8:00
AM
9:00
AM
10:00
AM
11:00
AM
12:00
PM
1:00
PM
2:00
PM
3:00
PM
4:00
PM
5:00
PM
6:00
PM
7:00
PM
8:00
PM
9:00
PM
VolumeofData
Delivered(Gbps)

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Start with AWS CodeStar

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AWS Cloud9

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DEMO!

30. FIN, ACK
Serverless:
• No servers to
manage
• No cost for idle
• Automatic scaling
• High availability
Uses-cases:
• Web Applications
• Backends
• Data Processing
• Chatbots
• Amazon Alexa
• IT Automation
Integrated across AWS:
• Amazon API Gateway
• AWS Step Functions
• Amazon S3
• Amazon Kinesis
• Amazon DynamoDB
• Amazon SNS
• Amazon Cognito
• AWS CloudFormation
• AWS CodePipeline
• Amazon CloudWatch
• AWS IOT
• many more!

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aws.amazon.com/serverless

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