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Serverless on AWS:
‘Tomato’ Restaurant
Rating App
Srushith Repakula
Co-Founder, Head of Engineering at KonfHub
Serverless Consultant
Co-organiser of one of the largest Serverless
meetup group - Serverless Architecture Meetup
Group, Bangalore
Mentor at GirlScript Bangalore
@SrushithR
Dharmendra Negi
Platform Engineer at KonfHub
@Dharm_snegi
Physical Virtualisation Cloud Containers
Evolution of Serverless
`
Serverless
Event
sources
Trigger
other
services
Lambda
function
s
Working with Lambdas
The function lifecycle
Bootstrap the
runtime
Start your
code
Partial
cold start
Download
your code
Start new
Execution
environment
Full cold
start
AWS optimization
Warm start
Your optimization
Content Source: ReInvent talk - https://www.youtube.com/watch?v=5rMiq-jw1Ig
Lambda execution model
Synchronous
(push)
Asynchronous
(event)
Stream
(Poll-based)
/order
Amazon
API
Gateway
Lambda
function
Amazon
DynamoDB
Amazon
Kinesis
changes
Amazon
SNS
Amazon
S3
reqs
Lambda
function
Lambda
function
Content Source: ReInvent talk - https://www.youtube.com/watch?v=5rMiq-jw1Ig
Your
function
Language
runtime
Execution
environment
Lambda
service
Compute
substrate
Anatomy of Lambda
Content source: ReInvent talk - https://www.youtube.com/watch?v=5rMiq-jw1Ig
01
02
03
04
Parts of lambda
function code
Dependencies, configuration
information
(Impact on cold start!)
Your handler code
Common helper
functions
Business logic
subfunctions
Handler() function
Function to be
executed upon
invocation
Anatomy of Lambda
function
Event object
Data sent during
Lambda function
invocation
Context object
Methods available to
interact with runtime
information (request
ID,
log group, more)
Our $billion app’s
architecture
Lets SNAP a few
servers out and tilt the
world back to balance!
Img source: https://medium.com/@awskarthik82/part-1-securing-aws-api-gateway-using-aws-cognito-oauth2-scopes-410e7fb4a4c0
● If you have steady, predictable traffic, choose reserved capacity. Since you know you need a
certain amount of capacity at all times, you can save from reduced rates.
● If you have variable, predictable traffic, choose provisioned capacity. Imagine you have significant
traffic during the day but no traffic overnight. Reserved capacity would be wasted overnight, but
your patterns are predictable enough that you could scale up your provisioned capacity when you
need it.
● If you have variable, unpredictable traffic, choose on-demand. If your application gets random
spikes, it can be hard to provision capacity to match demand. Use the on-demand feature so you
don't throttle your users.
Understanding DynamoDB pricing
@SrushithR
Srushith Repakula
@SrushithR

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