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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Jeremy Zigmond, Solutions Architect
October 24, 2016
Getting Started with
Serverless Architectures
Jeremy Zigmond
AWS Solutions Architectns
Jeremy Zigmond
AWS Solutions Architect
Agenda
• What is Serverless?
• Serverless Architectures
• Cost Savings
• Real Use Cases
What is Serverless Computing?
VMS
• Machines are the unit of scale
• Abstracts the hardware layer
Containers
• Applications are the unit of scale
• Abstracts the OS layer
Serverless
• Functions are the unit of scale
• Abstracts the language runtime
EC2
ECS
Lambda
Differentiators
I want to configure
machines, storage,
networking, and my OS
I want to run servers,
configure applications,
and control scaling
Run my code
when it’s needed
EC2 ECS Lambda
What does this look like from an application
perspective?
The Monolithic Application
The Service Oriented Architecture
Presentation Tier Logic Tier
Data Tier
The Microservices Architecture
Operations and management Scaling
Provisioning and utilization Availability and fault tolerance
Owning servers means dealing with ...
Code is all you need
(Native: Java/Python/NodeJS)
Event-driven scaling
Never pay for idle servers Availability and fault tolerance built in
Going Serverless with Lambda
Cost-effective and
efficient
No infrastructure
to manage
Pay only for what you use
Bring your
own code
Run code in standard
languages
Focus on business logic
Benefits of AWS Lambda
1 2 3
Lambda: How it works
Authoring functions
• AWS SDK built in
• Handle inbound traffic
• Use processes, threads,
/tmp, sockets,…
Deployment options
• Author directly using the
console WYSIWYG editor
• Package code as a .zip file
and upload to Lambda or to
S3
Stateless functions
• Persist data using
S3/Amazon DynamoDB/
Amazon ElastiCache
• No affinity to infrastructure
(can’t “log in to the box”)
Monitoring and Logging
• Metrics in Amazon
CloudWatch – Requests,
Errors, Latency, Throttles
• Logs in Amazon
CloudWatch Logs
AWS Lambda: Serverless computing
Run code without provisioning or managing servers; pay only for the compute time you
consume.
Triggered by events:
• Direct Sync and Async invocations
• Put to an Amazon S3 bucket
• Call to an Amazon API Gateway endpoint
• And many more…
Makes it easy to:
• Perform real-time data processing
• Build scalable back-end services
Use cases
Lambda: Use cases
Data processing
Execute code in
response to changes in
data, shifts in system
state, or actions by users
Control systems
Customize responses
and response workflows
to state and data
changes within AWS
Back ends
Execute back-end logic
to handle requests for
web, mobile, IoT, and
third-party APIs
Use case: Data processing
Use case: Back ends
Use case: Control systems
Amazon SES actions Zapier integration
Amazon SWF tasksAWS CloudFormation
custom resources
Lambda scheduled
events
Architect to be Serverless
Fully Managed
• No provisioning
• Zero administration
• High availability
Developer Productivity
• Focus on the code that
matters
• Innovate rapidly
• Reduce time to market
Continuous Scaling
• Automatically
• Scale up and scale down
Certification
aws.amazon.com/certification
Demonstrate your skills,
knowledge, and expertise
with the AWS platform.
Self-Paced Labs
aws.amazon.com/training/
self-paced-labs
Try products, gain new
skills, and get hands-on
practice working with
AWS technologies.
aws.amazon.com/training
Training
Skill up and gain
confidence to design,
develop, deploy, and
manage your applications
on AWS.
AWS Training and Certification
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
All attendees will receive a special giveaway gift!
Please join us for the
AWS DevDay Networking Reception
5:00 - 6:30 PM
JW Grand Foyer
Thank You!

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Getting Started with Serverless Architectures

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Jeremy Zigmond, Solutions Architect October 24, 2016 Getting Started with Serverless Architectures
  • 2.
  • 3. Jeremy Zigmond AWS Solutions Architectns Jeremy Zigmond AWS Solutions Architect
  • 4. Agenda • What is Serverless? • Serverless Architectures • Cost Savings • Real Use Cases
  • 5. What is Serverless Computing? VMS • Machines are the unit of scale • Abstracts the hardware layer Containers • Applications are the unit of scale • Abstracts the OS layer Serverless • Functions are the unit of scale • Abstracts the language runtime EC2 ECS Lambda
  • 6. Differentiators I want to configure machines, storage, networking, and my OS I want to run servers, configure applications, and control scaling Run my code when it’s needed EC2 ECS Lambda
  • 7. What does this look like from an application perspective?
  • 9. The Service Oriented Architecture Presentation Tier Logic Tier Data Tier
  • 11. Operations and management Scaling Provisioning and utilization Availability and fault tolerance Owning servers means dealing with ...
  • 12. Code is all you need (Native: Java/Python/NodeJS) Event-driven scaling Never pay for idle servers Availability and fault tolerance built in Going Serverless with Lambda
  • 13. Cost-effective and efficient No infrastructure to manage Pay only for what you use Bring your own code Run code in standard languages Focus on business logic Benefits of AWS Lambda 1 2 3
  • 14. Lambda: How it works Authoring functions • AWS SDK built in • Handle inbound traffic • Use processes, threads, /tmp, sockets,… Deployment options • Author directly using the console WYSIWYG editor • Package code as a .zip file and upload to Lambda or to S3 Stateless functions • Persist data using S3/Amazon DynamoDB/ Amazon ElastiCache • No affinity to infrastructure (can’t “log in to the box”) Monitoring and Logging • Metrics in Amazon CloudWatch – Requests, Errors, Latency, Throttles • Logs in Amazon CloudWatch Logs
  • 15. AWS Lambda: Serverless computing Run code without provisioning or managing servers; pay only for the compute time you consume. Triggered by events: • Direct Sync and Async invocations • Put to an Amazon S3 bucket • Call to an Amazon API Gateway endpoint • And many more… Makes it easy to: • Perform real-time data processing • Build scalable back-end services
  • 17. Lambda: Use cases Data processing Execute code in response to changes in data, shifts in system state, or actions by users Control systems Customize responses and response workflows to state and data changes within AWS Back ends Execute back-end logic to handle requests for web, mobile, IoT, and third-party APIs
  • 18. Use case: Data processing
  • 20. Use case: Control systems Amazon SES actions Zapier integration Amazon SWF tasksAWS CloudFormation custom resources Lambda scheduled events
  • 21. Architect to be Serverless Fully Managed • No provisioning • Zero administration • High availability Developer Productivity • Focus on the code that matters • Innovate rapidly • Reduce time to market Continuous Scaling • Automatically • Scale up and scale down
  • 22. Certification aws.amazon.com/certification Demonstrate your skills, knowledge, and expertise with the AWS platform. Self-Paced Labs aws.amazon.com/training/ self-paced-labs Try products, gain new skills, and get hands-on practice working with AWS technologies. aws.amazon.com/training Training Skill up and gain confidence to design, develop, deploy, and manage your applications on AWS. AWS Training and Certification
  • 23. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. All attendees will receive a special giveaway gift! Please join us for the AWS DevDay Networking Reception 5:00 - 6:30 PM JW Grand Foyer