Steve Mayszak, a software development manager at Amazon, discussed best practices for developing, testing, and deploying serverless applications. He explained that the AWS Serverless Application Model (AWS SAM) allows developers to define serverless resources using simplified syntax. AWS SAM CLI can be used locally to build, test, and debug serverless applications defined by AWS SAM templates. For releases, a pipeline should be defined that builds, tests, and deploys the application from development to production. Monitoring tools like AWS CloudWatch and AWS X-Ray help with management and operations of serverless applications.

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Serverless Application Debugging
and Delivery Best Practices
Steve Mayszak
Software Development Manager
Amazon
D E V 3 0 7

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About Steve:
• Building serverless developer tools since 2016
• AWS CodeDeploy—introduced AWS Lambda deployments
• AWS Cloud9—ability to locally debug lambda functions
• Previously:
• Managed the Amazon internal deployment tool, Apollo
• Software engineer at Getty Images focusing on Search and Video Transcoding
• Almost 10 years in telephony as a software and systems engineer
Steve Mayszak, software development manager, Amazon
@stevemayszak_
@stevemayszak

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Agenda

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Serverless applications
Function vs. application
A function is the code you wrote
An application is the function itself, along with all other resources (like Amazon API gateway,
AWS Identity and Access Management (IAM), and more)
AWS SAM
AWS Serverless Application Model
A model to define serverless applications
Defines simplified syntax for expressing serverless resources
Natively uses AWS CloudFormation
AWS SAM CLI (local)
Command utility that allows you to:
Create new applications
Test, debug, and analyze in a local environment
Deploy your applications

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AWS SAM example
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
FunctionName:
Type: AWS::Serverless::Function
Properties:
Handler: index.handler
Runtime: runtime
CodeUri: s3://bucketName/codepackage.zip

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Creating serverless applications
SAM file >
Functions
Your application and test code
Resources
Everything else – monitors, alarms, metrics, iam policies, ddb tables, etc…
Pipeline
Release process for moving from dev to prod

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Review

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Developing serverless applications
AWS SAM Local
Let’s you build, test, and debug serverless applications defined by AWS SAM templates
Provides IDE’s with the ability to locally debug
Simulates cloud hosting of serverless applications
Local debugging
IDE’s with local debug tooling:
AWS Cloud9
IntelliJ
Eclipse

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Review

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Release process
Define a release pipeline
A pipeline defines what happens on the way to production
Example:
Source Repo Trigger
Starts Pipeline
Builds Application
Runs Tests
Deploys to test stage
Runs more tests
Deploys to production

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet
<Remove from LB>

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet
<Deploy to instance>

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet
<Test/Validate deployment>

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet
<Add back to LB>

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Safe deployment to Amazon EC2 Fleet
AWS
CodeDeploy
Customers
ALB
Application Fleet
<Continue..>

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Updating Lambda functions
AWS
CodeDeploy
Customers
Production
API Gateway
Lambda
function

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Updating Lambda functions
AWS
CodeDeploy
Customers
Production
API Gateway
Lambda
function
?

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Updating Lambda functions
AWS
CodeDeploy
Customers
Production
API Gateway

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AWS Lambda weighted alias
AWS
CodeDeploy
Customers
Production
API Gateway
Alias
V1
V2
100%
0%

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AWS Lambda weighted alias
AWS
CodeDeploy
Customers
Production
API Gateway
Alias
V1
V2
50%
50%
Update weight

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AWS Lambda weighted alias
AWS
CodeDeploy
Customers
Production
API Gateway
Alias
V1
V2
50%
50%
Amazon
CloudWatch
Monitor

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AWS Lambda weighted alias
AWS
CodeDeploy
Customers
Production
API Gateway
Alias
V1
V2
0%
100%
Amazon
CloudWatch
Monitor
Update Weight

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AWS Lambda weighted alias
AWS
CodeDeploy
Customers
Production
API Gateway
Alias
V2
100%
Amazon
CloudWatch

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Review

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Ops/Management
Lambda Console
Application view
All resources in use by your application
Amazon CloudWatch
Monitors for your application
Raw text output / log output
AWS X-Ray
End to end request tracing
Performance analysis
Request filtering (by status code, custom properties, and more)
Service map of underlying components

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Review
• Pipeline
• Build
• Test
• SAM CLI
• IDE Integrations
• SAM
• functions
• resources
• pipeline
• Lambda Application
• Cloud Watch

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Breakout repeats
Monday, November 26
SRV305 – Serverless Application Debugging and Delivery Best Practices
12:15 p.m. – 1:15 p.m. | Aria West – Ironwood 3
Friday, November 30
SRV305 – Serverless Application Debugging and Delivery Best Practices
10:45 a.m. – 11:45 a.m. | Venetian – Level 3, Murano 3302

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Learn more at sessions and breakouts
Thursday, November 29
Leadership Session: Using DevOps, Microservices, and Serverless
to Accelerate Innovation (SRV325)
12:15 – 1:15 PM | Venetian Theatre (Level 2)

36. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Steve Mayszak
mayszaks@amazon.com

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