AWS re:Invent 2020 Serverless Recap

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5. 5 Feature Presentation by James Beswick re:Cap

6. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS re:Invent 2020 Serverless Recap James Beswick Senior Developer Advocate, AWS Serverless S E R V E R L E S S T O R O N T O

7. James Beswick Email: jbeswick@amazon.com Twitter: @jbesw Senior Developer Advocate – AWS Serverless Self-confessed serverless geek Previously Software Developer Product Manager About me

8. https://secure.flickr.com/photos/mgifford/4525333972 Why are we here today?

10. • Lambda:  Extensions  Logs API  Amazon MQ as an event source  New layer for CodeGuru Profiler  Support for PrivateLink  AVX2 support  SQS batch window to 5 mins  Code signing with AWS Signer • SAM CLI  sam build --cached  sam build –parallel • X-Ray – S3/SFn integration • EventBridge  Archive & replay events  Resource policies  SSE support • Step Functions  Synchronous Express Workflows  API Gateway integration  Workflows can query Athena • SNS - FIFO topics • DynamoDB  PartiQL  Kinesis Data Streams pre:Invent round-up

11. • Lambda:  Extensions  Logs API  Amazon MQ as an event source  New layer for CodeGuru Profiler  Support for PrivateLink  AVX2 support  SQS batch window to 5 mins  Code signing with AWS Signer • SAM CLI  sam build --cached  sam build –parallel • X-Ray – S3/SFn integration • EventBridge  Archive & replay events  Resource policies  SSE support • Step Functions  Synchronous Express Workflows  API Gateway integration  Workflows can query Athena • SNS - FIFO topics • DynamoDB  PartiQL  Kinesis Data Streams pre:Invent round-up

12. • Reduced billing granularity from 100ms to 1ms • Affects all Lambda functions • Automatic – no action needed! • Functions with short duration will see largest cost benefits • Interactive web calls, data streaming, and more • Starts with December 2020 billing cycle AWS Lambda – 1 ms billing

13. • Sub-100ms savings often ~66% • Reusing TCP connections • Dependence usage • INIT vs handler objects • The AWS Power Tuning Tool AWS Lambda – 1 ms billing Read more at: https://s12d.com/1ms

14. Developers can now add up to 10 GB in memory with up to 6 corresponding vCPUs to AWS Lambda functions • Build compute intensive workloads • Machine Learning, Genomics, Gaming, HPC applications • Build memory intensive workloads • Batch, ETL, Analytics, Media processing AWS Lambda – Larger Lambda functions Provisioned memory (MB) Allocated cores 128 – 1769 1 1770 – 3538 2 3539 – 5307 3 5308 – 7076 4 7077 – 8845 5 8846 – 10240 6

15. • Use a consistent set of tools for containers and Lambda-based application • Deploy large applications with AWS provided or third party images of up to 10 GB • ML, data analytics, large dependencies • Benefit from sub-second automatic scaling, high availability, 140 native service integrations, pay for use AWS Lambda container image support P A C K A G E A N D D E P L O Y F U N C T I O N S A S C O N T A I N E R I M A G E S Read more at: https://s12d.com/OCI

16. Simple developer experience C R E A T E F U N C T I O N A S C O N T A I N E R I M A G E docker push Amazon Elastic Container Registry container image Upload image to registry Invoke Status: ACTIVE Ready for invoke Lambda Function Container image 1. Pull image from ECR 2. Optimize image 3. Deploy image to Lambda CreateFunction Container image Status: PENDING AWS Lambda

17. AWS SAM developer experience C R E A T E F U N C T I O N A S C O N T A I N E R I M A G E docker push Amazon Elastic Container Registry container image Upload image to registry Invoke Status: ACTIVE Ready for invoke Lambda Function Container Image 1. Pull image from ECR 2. Optimize image 3. Deploy image to Lambda CreateFunction Container image Status: PENDING AWS Lambda AWS SAM will package the container, push it to a repo, and create or update the Lambda function with a single command

18. https://s12d.com/ extensions-intro https://s12d.com/ extensions-building https://s12d.com/ extensions-logs Use extensions • Consume capabilities of an extension by configuring the options in your Lambda functions Extensions API • Build your own extension • Provides a way for tools to get greater control during function initialization, invocation, and shutdown Logs API • Consume platform and function logs directly from Lambda Most customers use extensions without needing to know about the capabilities of the Extensions API that enables them Lambda Extensions?

19. How to deploy extensions Deploy extensions as Lambda layers • Using AWS Management Console, AWS CLI, AWS CloudFormation, AWS SAM, Serverless Framework, Terraform, Stackery Include extensions in Lambda container image • Build image using Docker CLI/AWS SAM with a Dockerfile • Add directly to function, or add as image layer

20. • Lambda  Self-hosted Kafka as an event source  Streaming analytics with tumbling windows  Custom checkpoints for streaming event batches • X-Ray Insights • SDK for JavaScript v3  TypeScript support + modular architecture • SQS  High-throughput mode for FIFO queues (in preview) • AWS CloudShell • S3  Strong read-after-write consistency Other releases

21. • Decoupling serverless workloads with Amazon EventBridge (James Beswick) https://virtual.awsevents.com/media /1_gyzid3q3 • AWS Lambda – Part 1: Optimizing your serverless applications (Chris Munns) https://virtual.awsevents.com/media /1_bhnvfdgz • Best practices for securing your serverless applications (Rob Sutter) https://virtual.awsevents.com/media /1_zchhd4oh • API Gateway – Beyond the proxy (Eric Johnson) https://virtual.awsevents.com/media /1_hgw8wdl7 • The serverless LAMP stack (Ben Smith) https://virtual.awsevents.com/media /1_ajbfgmdl • Becoming proficient with serverless application observability (Julian Wood) https://virtual.awsevents.com/media /1_t0qj8lcg Developer Advocate sessions – now on demand!

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AWS re:Invent 2020 Serverless Recap

Daniel Zivkovic

AWS re:Invent 2020 Serverless Recap