This document summarizes João Gatto's presentation on AWS Serverless Architecture. The presentation covers an introduction to serverless computing and AWS Lambda, common use cases, and challenges. It includes slides on cloud computing basics, what serverless means, event sources that can trigger Lambda functions, pricing models, and examples of serverless applications. The document also summarizes strategies to address challenges like vendor lock-in, learning curves, long tasks, and cold starts in serverless architectures.

1. João Gatto, March 30th
AWS Serverless
Architecture

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▪ João Carlos Gatto
▪ 10 years’ experience (9 years at GFT)
▪ Technical Leader for IDU (Atlantic)
▪ Focused in AWS Technologies
▪ Agile Coach
▪ Technology Enthusiast
▪ Father of a little princess named Sophia
▪ Bike rider
About Me
21/09/2018

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Agenda
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1. Cloud Computing
2. What is Serverless?
3. Common Use Cases
4. Challenges
5. Demo
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Cloud Computing
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History and Evolution
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History and Evolution
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What is Serverless?
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Serverless means...
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Serverless means...
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Greater agility
Less overhead
Better focus
Increased scale
More flexibility
Faster time to market

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Lambda handles
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Load Balancing
Auto Scaling
Handling Failures
Security Isolation
OS Management
Managing Utilization
(and many other things) for you

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Bring your own code
▪ NodeJS, Python, Java, C#, Go,
Ruby
▪ Bring your own libraries
Using AWS Lambda
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Simple Resource Model
▪ Select power rating from 128MB
to 3GB
▪ CPU and Network allocated
proportionally
Flexible Usage
▪ Synchronous and Asynchronous
▪ Integrated with other AWS
services
Flexible Authorization
▪ Securely grant access to
resources and VPCs
▪ Fine-granted control for invoking
your functions

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Authoring functions
▪ WYSIWYG editor or upload
packaged .zip
▪ Third-party plugins (Eclipse,
Visual Studio)
Using AWS Lambda
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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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Serverless function anatomy
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Node.js
Python
Java
C#
Go
Ruby

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Event sources that trigger AWS Lambda
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Buy compute time in 100ms increments
Low request charge
No hourly, daily, or monthly minimums
No per-device fees
Serverless costs
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NEVER PAY FOR IDLE

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Serverless numbers
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Common Use Cases
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Real-Time File Processing
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Real-Time Stream Processing
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Extract, Transform, Load
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IoT Backend
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Mobile Backend
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Web Application
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Challenges
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▪ Serverless clouds have potential for tight lock-in (e.g. users cannot move from AWS to
Google and Azure, easily)
▪ Functions require rewrite to run on other clouds
▪ Node.js and Python already have the AWS SDK built in
Solutions:
▪ Develop a “multi-cloud” approach but is more costly than single-cloud approach.
▪ Pick a vendor that you are happy with and exploit their capabilities as much as
possible.
Vendor Lock-in
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▪ Despite the comprehensive documentation and community resources, the curve is pretty
steep
▪ You might want to split your monolith into micro services
Solutions:
▪ Get help from professionals experienced in serverless tools
Learning Curve
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▪ Lambda gives you five minutes to execute a task
Solutions:
▪ Make your lambda function as small as possible
▪ The granularity of your code should be very small, i.e. do a specific job and THAT IS
IT
Unsuitable for Long Term Tasks
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▪ When our code is instantiated the Lambda Platform and Runtime will go through a sequence of steps, which
collectively are known as a Cold Start. These steps are as follows:
▪ The Platform allocates an underlying Virtual Machine (VM) resource to host our function
▪ The Platform instantiates a Linux container that it will run our code within, on the allocated VM
▪ The Platform copies our code to the container, and expands the compressed artifact we supplied at
deployment time
▪ The Platform starts the language Runtime we specified, within the container
▪ The Runtime loads our code
▪ The Runtime instantiates our function
Solutions:
▪ Create a trigger that keeps your critical lambdas warmed during the day.
▪ Use a server-full architecture
Cold Start
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Demo
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30. Shaping the future
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Thank you!
GFT Sorocaba
João Carlos Gatto
Technical Leader
Av, São Francisco, 98 Sta Rosália
18.095-450 Sorocaba, Brasil
T +15 3414 6462
Joao-Carlos.Gatto@gft.com