Highlights from re:Invent 2021

1. re:Invent recap
breakfast
Jimmy Dahlqvist & Maurits Johansson
2021-12-14

2. Agenda
 Sustainability
 Serverless
 Community & Builders
 Low Code / No Code
 Takeaways

3. Sustainability

4. Sustainability
 Adding a 6th pillar to the AWS Well Architected Framework
 Sustainability Shared Responsible Model
 AWS is responsible for the sustainability OF the cloud
 Customer is responsible for the sustainability IN the cloud
 AWS Customer Carbon Footprint tool
 Serverless can help your organization meet sustainability goals
 Share resources when not in use

5. The greenest energy is the
energy that you don’t use.
Peter Desantis

6. Graviton 3
 Latest CPU in the Graviton family
 AWS Custom designed ARM based CPU
 Use up to 60% less energy for the same performance than comparable EC2
instances
 Provide up to 25% better compute performance
 Best price performance

7. Don't forget to turn off the
lights.
Werner Vogels – re:Invent 2012

8. Serverless

9. Amazon S3 Event notifications with Amazon
EventBridge
 S3 Event = React to object changes in you bucket
 Since 2014 - Event delivery to SNS, SQS and Lambda
 2019 - EventBridge - built for Event driven applications
 EventBridge integration with 18 services
 Schema registry
 Archive + replay events
 API destinations
 What’s the impact?
 More reliable (At-least-once delivery)
 Faster
 Advanced filtering (object size, time-range)
 Less management
 When to use?

10. MSK(Managed Streaming for Kafka) Serverless
 MSK = Fully managed Apache Kafka Service
 Apache Kafka = Open-source Distributed event streaming platform
 No more:
 Provisioning of brokers
 Handling number of partitions
 Now
 0.75$/h cluster fee <—- note
 0.0015$/h per partition
 Storage
 Data in/out
 When to use?

11. Kinesis Data Streams On-Demand
 Kinesis Data Steams = Managed Real-time Data streaming service
 Provision Shards (1 shard = 1mb/s write and 2mb/s read throughout)
 On-Demand
 Pay per GB written/read from your data streams
 Accommodates workload
 Pay per stream per hour, Data ingestion, Fan out and storage
 When to use?

12. Amazon Redshift Serverless
 Redshift - Cloud Data Warehouse
 On-Demand
 Provision servers (vCPU, IO,Storage, Memory)
 Serverless
 Pay only for the compute capacity
 1 Redshift Processing Unit (RPU) = 0.49$/h
 Base and Max settings to control the scaling
 Make active/inactive (Only pay for persistent storage)
 Free 24h point-in-time restore (30 min granularity)
 When to use?

13. Amazon EMR Serverless
 Amazon EMR = Managed Service for open source analytics frameworks such as
Apache Spark, Hive, Presto
 EMR on EC2/EKS
 Provision Instances/Setup EKS
 EMR Serverless
 Choose framework version
 Submit jobs
 Min/Max concurrent workers
 Pay per vCPU, Memory and Storage
 When to use?

14. Lake formation Cell and row level security
 AWS Lake Formation = Service for Setting up and securing data lakes in AWS
 ”A data lake is a centralized, curated, and secured repository that stores all your
data, both in its original form and prepared for analysis”
 Whats new?
 More finely grained security
 No need to create subset of data for different consumers.
 When to use?

15. AWS Lambda Event filtering
 AWS Lambda = Serverless functions
 Event sources
 SQS
 DynamoDb
 Kinesis
 Before
 Now
 Simplifies following the single-responsibility model
 No more excessive lambda executions
 When to use?

16. DynamoDB Standard - IA Tables
 DynamoDb = Serverless NoSQL database
 Before
 After
 60% Lower cost for storage
 More expensive queries
 Convertible Tables
 When to use?

17. Amazon Simple Queue Service (SQS) DLQ Redrive
 SQS = Serverless message queues
 Before
 After
 Redrive back to source queue
 When to use?

18. Lambda partial batch response for SQS event source
 Before
 After
 Process at record-level instad of batch-level
 Removing repetitive data transfer = higher throughput
 More efficient processing (no visibility timeout on good messages)
 When to use?

19. Community & Builders

20. re:Post
 Community Driven Q&A
 Answers from community experts, AWS customers, Partners, and employees.
 Replaces AWS Forums
 Tied to your AWS account identity
 Lacking support for login with GitHub, LinkedIn, Amazon etc
 https://repost.aws

21. CDK V2
 Consolidates into a single package called aws-cdk-lib
 No need to download individual packages for each AWS service
 Comply with Semantic Versioning (semver)
 Improved productivity
 CDK API reference refresh with code snippets
 CDK Watch for faster inner-loop development iterations on the application code

22. Construct Hub
 Central place to discover CDK constructs
 Community & Developer Driven
 https://constructs.dev/

23. Low Code / No Code

24. Amplify Studio
 Low Code capability
 Build beautiful web apps with a backend easy and fast
 Import designs from Figma
 Generate React Components

25. Amazon SageMaker Canvas
 Amazon SageMaker = Fully managed service for preparing, building, training and
deploying machine learning models.
 SageMaker Canvas
 Point and click interface
 No coding
 Targets business users rather than data scientists
 When to use?

26. Takeaways

27. Takeaways
 Evolution – not a revolution
 Sustainability is a hot topic
 Continue to invest in serverless as a way.
 Low code trend continues

28. Thank You!