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Serverless Generative AI on AWS, AWS User Groups of Florida
- 1. Serverless Generative AI AWS UserGroups of Florida Fort Lauderdale, FL, USA February 27th, 2024 Patrick Hannah CTO CloudHesive
- 2. AWS User Groupsof Florida – Updates We are back to In-Person Meetups and working towards a monthly cadence Always open to ideas on how we can improve the content and format! Collaborate with us after the MeetUp! Future MeetUps – Presenters? Topics? Formats? Slideshare – Keep an eye on our MeetUp Page – we will post a link to the Slides Slack – Keep the conversation going Today’s MeetUp Format Feel free to ask questions throughout the session! Dedicated Q&A at the end
- 3. Topic In this session,I will unravel the complexities of serverless generative AI, offering insights into its architecture, applications, and potential impact on businesses across various industries. Whether you're a seasoned AWS practitioner or just starting your journey into cloud computing, this presentation promises to broaden your horizons and spark new ideas.
- 4. Inspiration “I'm wondering ifthere is a feature request to create something like a saved query in Athena that can be executed via a CloudWatch Event?” The AWS Step Functions service integration with Amazon Athena enables you to use Step Functions to start and stop query execution, and get query results AWS User Groups of Florida MeetUp - AWS API Architectures - Scott Hendrickson, Partner Solutions Architect, AWS Data sources and resolvers are how AWS AppSync translates GraphQL requests and fetches information from your AWS resources AWS Well Architected Framework Serverless Application Lens If your Lambda function is not performing custom logic while integrating with other AWS services, chances are that it may be unnecessary
- 5. Who doesn’t likeconnecting things together?
- 6. Compute’s Transition toServerless Compute - EC2 Bare Metal (Intel, AMD, Graviton, M1) Compute - EC2 Virtual > Bare Metal (Xen, KVM/Nitro) Containers - Fargate > ContainderD (was DockerD) > EC2 Serverless - Lambda > Firecracker (Micro VM) > EC2
- 7. Serverless’ Flavors High LevelAbstractions SaaS (Connect) Hybrid Abstractions PaaS (DynamoDB) Low Level Abstractions IaaS (Lambda)
- 8. Service Categories Analytics Application Integration AR& VR AWS Cost Management Blockchain Business Applications Compute Customer Engagement Database Developer Tools End User Computing Game Tech Internet of Things Machine Learning Management & Governance Media Services Migration & Transfer Mobile Networking & Content Delivery Quantum Technologies Robotics Satellite Security, Identity, & Compliance Storage
- 9. Workload Personas Migrated Server Based Migrated& Optimized Blends of Server and Service Based Serverless/Native Service Based Orchestrated ECS, EKS, K8s Inherited Wildcard! Hybrid Wildcard!
- 10. Well Architected Framework OperationalExcellence Security Reliability Performance Efficiency Cost Optimization Sustainability
- 11. Cloud Workload LifecycleManagement Workload Architecture Monitoring Automation Processes Integration
- 12. Workload + ArchitectureDrives Service Selection Containers Container File Versioning Multi-threaded/Single-task Minutes to Days Per VM/Per Hour Virtual Machines AMI Patching Multi-threaded/Multi-task Hours to Months Per VM/Per Hour Functions/Services Code Versioning Single-threaded/Single-task Microseconds to Seconds Per Memory/Second/Per Request
- 13. Automation + ProcessesDrives Lifecycle Management Selection Organizations Cross-Account Asset Management + Governance Control Tower Account vending/default standardization Service Catalog Workload platform vending/default standardization CloudFormation IaC Ephemeral Compute + API Managed Data/Control Plane for Persistence Tiers Hands off/Lights out
- 14. Processes Patching Backup/Restore Testing Failover Testing(AZ) Credential Rotation/Credential Audit Event Response Testing Incident Response Testing Performance Testing Performance/Cost Review Vulnerability/Penetration Testing
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- 17. Generative AI inthe context of AWS Amazon Bedrock Amazon SageMaker, Studio and Canvas (and Redshift Inferences) NVIDIA GPU-powered Amazon EC2 instances AWS Tranium AWS Inferentia Amazon EC2 UltraClusters Amazon Q: Business, AWS, QuickSight, Connect, Supply Chain, Code Catalyst, IDE, Code Transformation, Query Editor (Redshift) PartyRock AWS CodeWhisperer AWS HealthScribe
- 18. Generative AI inthe context of AWS Services that accelerate development for AWS Services that are powered by it – No-code data connectors/Zero ETL, Instance Selection, Console to Code (and AppComposer), Natural Language Querying, Code Scanning, Datazone (Descriptions) Services that accelerate development for you – Lex (Conversational FAQ, Slot Resolution, Bot builder, Utterance Generator), Personalize (Themes), Transcribe (Summarization) Services improved by it – Alexa
- 19. Rationalization Why Serverless –how does serverless change how we incept, launch, and iterate product? Why GenAI – how does Generative AI change how we think about solving problems with data?
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- 21. Bedrock Operationalization Non-functional Regional Considerations FMSubscription Throughput/Quotas Security Operational Monitoring Traffic Flow (Private Link) Functional Prompt Engineering Tokens Model Parameters Inference Parameters Sessions
- 24. Databases that canbe used to store Vector Embeddings OpenSearch/Serverless Redis Enterprise and MemoryDB Pinecone Aurora (Postgres) RDS (Postgres) MongoDB DocumentDB Neptune
- 25. Machine Learning Amazon AugmentedAI - Easily implement human review of machine learning predictions Amazon CodeGuru - Intelligent recommendations for building and running modern applications Amazon Comprehend - Analyze Unstructured Text Amazon Comprehend Medical - Amazon Comprehend Medical uses machine learning to extract insights and relationships from medical text. AWS DeepComposer - AWS DeepComposer allows developers of all skill levels to get started with Generative AI. AWS DeepLens - Deep Learning Enabled Video Camera AWS DeepRacer - Fully autonomous 1/18th scale race car, driven by machine learning Amazon DevOps Guru - ML-powered cloud operations service to improve application availability. Amazon Forecast - Amazon Forecast is a fully-managed service for accurate time-series forecasting Amazon Fraud Detector - Detect more online fraud faster using machine learning Amazon HealthLake - Making sense of health data Amazon Kendra - Highly accurate enterprise search service powered by machine learning AWS HealthImaging Amazon Lex - Build Voice and Text Chatbots Amazon Lookout for Equipment - Detect abnormal equipment behavior by analyzing sensor data Amazon Lookout for Metrics - Accurately detect anomalies in your business metrics and quickly understand why Amazon Lookout for Vision - Identify defects using computer vision to automate quality inspection. Amazon Monitron - End-to-end system for equipment monitoring Amazon Omics - Transform omics data into insights. AWS Panorama - Enabling computer vision applications at the edge Amazon Personalize - Amazon Personalize helps you easily add real-time recommendations to your apps Amazon Polly - Turn Text into Lifelike Speech Amazon Rekognition - Search and Analyze Images Amazon SageMaker - Build, Train, and Deploy Machine Learning Models Amazon Textract - Easily extract text and data from virtually any document Amazon Transcribe - Powerful Speech Recognition Amazon Translate - Powerful Neural Machine Translation Amazon Bedrock
- 27. Primary Services API Tier APIGateway – API Management AppSync – GraphQL API Application (Execution)/Code Tier Lambda – Serverless Compute Data Store Tier DynamoDB – Key/Value Data Base Service Tier Event Bridge/Step Functions – Event Bus, Low Code/No Code Workflow Athena – Interactive Query Service S3 – Object Storage Glue – Data Integration Service
- 28. Options for APIs Client> API Gateway HTTP > Things Client > API Gateway REST > Things Client > AppSync GraphQL > Things Client > Application Load Balancer > Lambda Client > Lambda Function URLs Client > CloudFront (Authorizer) > Lambda Client > AWS IoT
- 29. Options to callAWS services w/o Lambda APIs API Gateway > AWS Services AppSync > GraphQL > Resolvers > AWS Services Event Step Functions > AWS Services EventBridge
- 30. API Gateway Integrations AWS Service Lambda AWSProxy Service Lambda HTTP HTTP Proxy Mock
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- 32. Sync versus Async Canthe payload fit in the size/time constraints What is the impact to the client?
- 33. Step Functions OptimizedIntegrations Lambda Batch DynamoDB ECS/Fargate SNS SQS Glue, DataBrew SageMaker EMR CodeBuild Athena EKS API Gateway EventBridge Step Functions HTTP Destinations (New) - https://aws.amazon.com/blogs/aws/external-endpoints-and-testing-of-task-states-now-available-in-aws-step-functions/ Bedrock (New)- https://aws.amazon.com/about-aws/whats-new/2023/11/aws-step-functions-optimized-integration-bedrock/
- 34. Options for EventBuses/Messaging/Queuing DynamoDB > Triggers CloudWatch Logs > Metrics > Alarms / Lambda CloudWatch Metrics > Destination Kinesis > Lambda Event Bridge (DLQ Support) > Lambda SQS (DLQ Support) > Lambda SNS (DLQ Support) > Lambda (DLQ Support) Lambda
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- 36. Serverless Data Stores- The Easy Button S3 Query – Query objects in S3, through S3 Athena (and S3 and Glue) – Query objects in S3, Presto AppFlow – Data Integration Platform Profiles Wisdom Tasks
- 37. Serverless Data Stores DynamoDB– Key/Value Timescale – Time Series Keyspaces – Cassandra QLDB – Ledger Aurora – Relational Prometheus – Prometheus Grafana – Grafana MWAA – Airflow
- 38. General Considerations Multi-Region? Single-Region?Which Region(s)? Which Services? What will they cost? How are they metered/billed? How far do we need to scale? What compliance requirements do we need to meet? What tools do we have in our reach? (Frameworks, Patterns, etc.)
- 39. API Gateway Development (Isolation,Stages, SAM) Client Security (Certificates, API Keys, Authorizers) Gateway Security (WAF, Throttling) Endpoint Type (Edge optimized, Regional, Private, API Cache) Integration (Methods, Proxy, Response Codes) Operationalization (CloudWatch Logs, CloudWatch Metrics, Access Logging, X-Ray Testing (Direct, PostMan)
- 40. Lambda Runtime Pre-Warming Sizing/Timeouts Development (Isolation, Versions,SAM, Cloud9, Parameterization) Integration (Methods, Response Codes) Security (KMS, Execution Role) Operationalization (CloudWatch Logs, CloudWatch Metrics, X-Ray) Testing (Direct)
- 41. “The Rest” Development (CodingBest Practices, Runtime, RDBMS, DevOps) Data Stores that are not Serverless (Sizing, CloudWatch, Logs, Events, Backup/Recovery, Multi-AZ, Database “Stuff”) Trade-off VPC (Public Subnets, Private Subnets, Security Groups) Typical of Legacy Integrations, Non-Serverless Data Stores, etc. General (What are all of the things we need to think about when we create a new AWS account?) “Landing Zone”
- 42. Conclusion AWS continues toincrease the breadth and depth of their service offerings I wish it did that I didn’t know I needed that It’s easier to get started today than it was yesterday Simplicity Support Cost Lessons Learned Regional Availability Flexibility of implementation to change FMs (or even support custom FMs) and tune FM specific parameters Conclusion Generative AI and API Access to Generative AI services (like Bedrock) can be an easy button Not an end all – value can be found in context, which takes us back to needing a strong data foundation Priorities are still priorities – customers don’t care about Generative AI if your customers have needs unfulfilled by the product or by Generative AI Customers may also need to be led to it – if the customer isn’t asking, pushing it on them won’t help – they need education Consider sustainability when choosing an approach – Maslow’s Hammer Don’t forget about team enablement Limited by your imagination and ability to execute
- 43. References https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/wellarchitected- serverless-applications-lens.pdf – WellArchitected Serverless Application Lens https://docs.aws.amazon.com/apigateway/latest/developerguide/getting-started-aws-proxy.html – API Gateway Service Proxy Example https://docs.aws.amazon.com/apigateway/latest/developerguide/websocket-api-chat-app.html – API Gateway Websocket Example https://docs.aws.amazon.com/appsync/latest/devguide/tutorials.html – AppSync Tutorials https://docs.aws.amazon.com/appsync/latest/devguide/tutorial-dynamodb-resolvers.html – AppSync Tutorial DynamoDB Resolver https://docs.aws.amazon.com/lambda/latest/dg/lambda-urls.html – Lambda URLS https://docs.aws.amazon.com/step-functions/latest/dg/connect-supported-services.html – Step Functions Supported Services https://docs.aws.amazon.com/step-functions/latest/dg/sample-athena-query.html – Step Functions Athena Query
- 44. 0800-860-2040 [email protected] cloudhesive.com Fort Lauderdale 2419 E.Commercial Blvd, Ste. 300 Ft. Lauderdale, Florida USA Buenos Aires Av. Del Libertador 6680, Piso 6 CABA, Ciudad de Buenos Aires Argentina Santiago de Chile Cerro El Plomo 5420 SB1, Oficina 15 Nueva Las Condes, Santiago de Chile Chile
Editor's Notes
- #27 +Websockets