oin us to learn about the state of serverless computing from Dougal Ballantyne, Principal Product Manager, Serverless. Dougal Ballantyne discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve. Learn More: https://aws.amazon.com/government-education/

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Dougal Ballantyne, Principal Product Manager, Serverless
June 13, 2017
The State of Serverless Computing

2. Agenda

3. What is
serverless?
Build and run applications
without thinking about servers

4. Let’s take a look at the evolution of computing
Physical servers
in data centers
Virtual servers
in data centers
Virtual servers
in the cloud

5. Each progressive step was better
Physical servers
data centers
Virtual servers
data centers
• Higher utilization
• Faster provisioning speed
• Improved uptime
• Disaster recovery
• Hardware independence
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
Virtual servers
in the cloud

6. But there are still limitations
Physical servers
data centers
Virtual servers
data centers
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
• Still need to administer
virtual servers
• Still need to manage
capacity and utilization
• Still need to size
workloads
• Still need to manage
availability, fault tolerance
• Still expensive to run
intermittent jobs
Virtual servers
in the cloud

7. Evolving
to serverless
SERVERLESS
Virtual servers
in the cloud
Physical servers
in data centers
Virtual servers
in data centers

8. No server is easier to manage than no server
All of these responsibilities
go away
Provisioning and utilization
Availability and fault tolerance
Scaling
Operations and management

9. Serverless is a form of event-driven computing
Event-driven computing
Function as a Service
Serverless

10. EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE
Deliver on demand, never pay for idle

11. Building blocks for serverless
AWS Lambda Amazon DynamoDB
Amazon SNS
Amazon API Gateway
Amazon SQS
Amazon Kinesis
Amazon S3
Orchestration and State Management
API Proxy Messaging and Queues Analytics
Monitoring and Debugging
Compute Storage Database
AWS X-RayAWS Step Functions
Edge Compute
AWS Greengrass
Lambda@Edge

12. Serverless changes how you deliver
Speeds up
time to market
Dedicated time
to innovation
Increases developer
productivity
Eliminates operational
complexity

13. Serverless today

14. Chatbots
• Powering
chatbot logic
• Alexa Skills for
Amazon Echo
Common use cases
Web
applications
• Static
websites
• Dynamic
web apps
• Packages for
Flask and
Express
Backends
• Apps &
services
• Mobile
• IoT
</></>
Media & Log
Processing
• Real-time data
• Streaming
data
Big Data
• MapReduce
• Batch

15. Big Data
• MapReduce
• Batch
Big data
Map Phase Reduce PhaseInputs Results

16. Serverless Map/Reduce with Lambda
https://github.com/awslabs/lambda-refarch-mapreduce

17. PyWren: a massive data framework for Lambda
• Open source MapReduce
framework using Lambda
• 25 TFLOPS performance
• 60 GB/sec read and 50
GB/sec write to S3
https://github.com/pywren/pywren
http://pywren.io/
http://ericjonas.com/

18. Academics agree: serverless + big data = <3
(Source: arXiv)

19. Now run denser workloads with Lambda
Default concurrency
=
100 concurrent functions200400

20. NEW
Now run denser workloads with Lambda
Default concurrency
=
600 concurrent functions600

21. Customers innovating with serverless

22. Enterprises are achieving massive scale with Lambda
• Thomson Reuters processes 4,000 requests per second
• FINRA processes half a trillion validations of stock trades daily
• Hearst reduced the time to ingest and process data for its
analytics pipeline by 97%
• Vevo can handle spikes of 80x normal traffic
• Expedia triggers 1.2 billion Lambda requests each month

23. Serverless is a core component of modern apps

24. AWS serverless platform

25. Capabilities of a
serverless platform

26. Cloud logic layer

27. NEW
Cloud logic layer
New Lambda runtimes
• Node.js v6.10 announced in March
• Python 3.6 now available

28. NEW
Cloud logic layer
Tagging for Lambda
• Add metadata to Lambda functions using tags
• Track and allocate costs per function

29. Cloud logic layer
Other recent features…
• Iterator age metric for Amazon Kinesis records
• View Lambda function policies from the console

30. NEW
Cloud logic layer
HIPAA compliance
• Amazon API Gateway is now HIPAA
compliant

31. NEW
Cloud logic layer
API request validation
• Amazon API Gateway supports request
validation
• Check for required request parameters in a
request’s URI, query string, and headers
• Verify adherence to the request model of
methods
• Detailed error logs stored in
Amazon CloudWatch Logs

32. NEW
Cloud logic layer
API Gateway + ACM
• API Gateway is now integrated with
AWS Certificate Manager
• Deploy and configure SSL/TLS certificates for
custom API Gateway domains in minutes

33. Responsive data sources

34. Lambda event sources – AWS services
Amazon API Gateway
Amazon S3
Amazon DynamoDB
Amazon Aurora
Amazon Simple Notification Service
Amazon Simple Email Service
Amazon Cognito
AWS Snowball Edge
Amazon CloudWatch
Amazon Kinesis Streams
Amazon Kinesis Firehose
AWS CodeCommit
AWS CloudFormation
AWS Config
Amazon Lex

35. Integrations library

36. Integrations library
Amazon API Gateway listings in
the AWS Marketplace

37. Reliability and performance

38. Reliability and performance
Dead Letter Queues
• Automatically capture events after
exhausting retries
• Build even more reliable event processing
applications
• Target Amazon SQS queues or
Amazon SNS topics
• Available in all regions

39. Application modeling framework
Monolithic
application
Microservices

40. But what happens
when you have an
entire app made up
of many functions?
Composing serverless applications

41. Meet SAM

42. AWS Serverless Application Model (SAM)
Standard model for
representing serverless
applications on AWS
Functions, APIs, event
sources, and data stores
Simplifies deployment and
management for serverless
applications

43. AWS Serverless Application Model (SAM)
• Natively supported by AWS
CloudFormation
• Export any function as a SAM
template
• Package and deploy SAM
templates using AWS CLI
• Open spec under Apache 2.0
for community extensions

44. NEW
AWS Serverless Application Model (SAM)
New features
• Support for inline Swagger
• Intrinsic functions

45. CI/CD for serverless applications
</>
AWS CodePipeline + SAM
GitHub
Amazon S3
AWS CodeCommit
AWS CodeBuild AWS CodeBuild
Third-party tools
AWS CloudFormation
Commit Build Test
Deploy
to Prod

46. Developer ecosystem — AWS
How do you debug distributed applications
made of multiple functions or services?
How do you gain insights into how your
functions are performing or behaving?

47. AWS X-Ray
• Analyze and debug distributed
apps in production
• Visualize service call graph of
your app
• Identify performance
bottlenecks and errors
• Pinpoint service-specific issues
• Identify impact of issues on
users of the app
• Trace function executions
(coming soon)

48. How X-Ray works
Trace requests Record traces View service map Analyze issues

49. X-Ray example

50. X-Ray example

51. X-Ray example

52. X-Ray example

53. X-Ray example

54. X-Ray example

55. X-Ray example

56. Developer tools
Write
code
Deploy to
customer
Build
and test
Receive
feedback

57. Developer ecosystem — commercial
MonitoringDeployment Service Delivery
Program
IntegrationsCode Libraries

58. Developer ecosystem — open source
Chalice
Framework
Serverless Java
Container

59. Orchestration and state management

60. NEW
AWS Step Functions update
New features
Integration with API Gateway
Error-handling for Lambda functions
Send CloudWatch Events to Step Functions

61. AWS Greengrass
• Extends Lambda functions to devices
• Low latency, near-real time

62. AWS Snowball Edge
• Petabyte-scale hybrid device with
onboard compute and storage
• Deploy AWS Lambda code to
Snowball Edge

63. NEW
Global scale
Lambda available in
most major regions in
the AWS global
infrastructure
Now available in
London and Mumbai
regions!

64. Lambda@Edge (in preview)
Lambda@Edge is available
in all Amazon CloudFront
edge locations
• Low-latency
request/response
customization
• Supports viewer and
origin events

65. CloudFront triggers for Lambda@Edge
functions
Origin
server
End user CloudFront
cache
Viewer response Origin response
Viewer request Origin request

66. Lambda@Edge use cases
Content
customization
Visitor
validation
A/B testing

67. Serverless is a
fundamental
component of
modern
applications

68. Conclusion
Lambda is a fundamental
component of modern
application architectures
It has a place in everything
from data processing to
simple web apps

69. Thank you!