Beginning_Serverless_Applications_With_AWS_SAM.pdf

Beginning Serverless Applications with AWS SAM

Transcript

1. Beginning Serverless Applications With AWS SAM @Harprits @NewsServerless harprit
2. #01 An Overview Serverless 002
6. #02 A Developer’s View 06 Serverless Applications
7. 007 FaaS Events BaaS
8. #03 AWS SAM – a framework for building and managing Serverless applications. AWS Serverless Application Model 08
9. 09 Organize architectural components of your serverless application at one place. SAM TEMPLATE
10. 010 Manage lifecycle of your serverless application with one tool. SAM CLI
11. 011 AWSTemplateFormatVersion: 2010-09-09 Transform: AWS::Serverless-2016-10-31 Resources: HelloWorldFunction: Type: AWS::Serverless::Function Properties: CodeUri: target/helloworldsam-1.0.jar Handler: com.Helloworldsam.App::handleRequest Runtime: java8 Events: HelloWorld: Type: Api Properties: Path: /hello/{name} Method: get HelloWorldTable: Type: AWS::Serverless::SimpleTable Transform Cloudformation FaaS Lambda Event API Gateway Serverless Resource DynamoDB Table
12. 012 AWS::Serverless::Function AWS::Serverless::Api AWS::Serverless::SimpleTable AWS::Serverless::Application AWS::Serverless::LayerVersion Serverless Specific Resources
13. 013 Api SNS Schedule SQS Kinesis DynamoDB S3 CloudWatchEvent CloudWatchLogs IoTRule AlexaSkill Event Sources Type: Api Properties: Path: /photos Method: post Type: S3 Properties: Bucket: my-bucket Events: s3:ObjectCreated:*
14. 014 SAM CLI Commands sam init sam validate sam build sam local generate-event sam local invoke sam local start-api sam local start-lambda sam logs sam package sam deploy sam publish
15. 015 Local Testing and Debugging sam local AWS Ecosystem Services, SAR, Cloud9 Serverless Friendly Cloudformation one less thing to learn Safe Lambda Deployments CanaryXPercentYMinutes vs LinearXPercentEveryYMinutes Why SAM?
16. 016 MyLambdaFunction: Type: AWS::Serverless::Function Properties: Handler: index.handler Runtime: nodejs6.10 AutoPublishAlias: live DeploymentPreference: Type: LinearXPercentEveryYMinutes Traffic to new version will linearly increase in steps of X percentage every Y minutes. Ex: Linear10PercentEvery10Minutes will add 10 percentage of traffic every 10 minute to complete in 100 minutes. Type: CanaryXPercentYMinutes X percent of traffic will be routed to new version for Y minutes. After Y minutes, 100 percent of traffic will be sent to new version. Some people call this as Blue/Green deployment. Ex: Canary10Percent15Minutes will send 10 percent traffic to new version and 15 minutes later complete deployment by sending all traffic to new version. Type: AllAtOnce
17. 017 Demo