All the latest feature releases, updates and announcements of AWS re:Invent 2024

SAP on AWS

• Deploy GROW with SAP on AWS from AWS Marketplace
  GROW with SAP in AWS Marketplace to Help Customers Rapidly Adopt Cloud ERP and Innovate with Advanced Generative AI Solutions.
  https://news.sap.com/2024/12/grow-with-sap-on-aws-simplify-cloud-erp-deployment/

CDN

• CloudFront VPC Origins
  Perhaps long overdue, VPC Origins is a new feature for CloudFront that allows you to keep your resources within private subnets by dropping an ENI in your subnet that it will use to access origins at no extra cost.

Compute

• New EC2 P5en instances with NVIDIA H200 Tensor Core GPUs & EFAv3 networking
  Amazon EC2 P5en instances deliver up to 3,200 Gbps network bandwidth with EFAv3 for accelerating deep learning & gen AI & HPC workloads.

• EC2 Trn2 Instances & Trn2 UltraServers for AI/ML training & inference are available now
  With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, deliver unprecedented compute power for ML training and gen AI.

• Amazon EC2 I8g instances storage optimized powered by AWS Graviton4 processors & 3rd gen AWS Nitro SSDs
  Storage performance with AWS’s newest I8g instances, which deliver unparalleled speed & efficiency for I/O-intensive workloads.

• Storage optimized Amazon EC2 I7ie instances
  New AWS I7ie instances deliver unbeatable storage performance: up to 120TB NVMe, 40% better compute & up to 65% better real-time storage performance.

Storage

• New Amazon S3 Tables: Storage optimized for analytics workloads
  Amazon S3 Tables optimize tabular data storage (transactions & sensor readings) in Apache Iceberg, enabling high-performance, low cost queries using Athena, EMR, and Spark.

• New physical AWS Data Transfer Terminals let you upload to the cloud faster
  Rapidly upload large datasets to AWS at blazing speeds with the new AWS Data Transfer Terminal, secure physical locations & offering high throughput connection.

• Connect users to data through your apps with Storage Browser for Amazon S3
  Storage Browser for Amazon S3 is an open source interface component that you can add to your web applications to provide your authorized end users, such as customers, partners, and employees, with access to easily browse, upload, download, copy, and delete data in S3.

• Queryable object metadata for Amazon S3 buckets
  Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.

Database

• Amazon MemoryDB Multi-Region is now generally available
  Build highly available, globally distributed apps with microsecond latencies across Regions, automatic conflict resolution, & up to 99.999% availability.

• Amazon RDS Blue/Green Deployments support storage volume shrink
  RDS now supports live volume shrink using blue/green deployments. This allows for a volume reduction after space is cleared (for example, dropped large tables that are no longer needed) without incurring downtime.

• Amazon Aurora Serverless v2 supports scaling to zero capacity
  Aurora Serverless v2 now supports scale to zero, with resume time typically being ~15 seconds. This provides a nice reduction in cost for low-usage databases such as those in your dev or UAT environments. A significant cost management feature for SMBs.

• Amazon DynamoDB global tables preview multi-Region strong consistency
  Strongly consistent multi-region DynamoDB is now an option within Global Tables. This option does come with a latency hit and sits alongside the traditional eventual consistency model (i.e., the last writer wins).

• Announcing Amazon Aurora DSQL Aurora DSQL is a new, highly scalable, and multi-region SQL database. I liken it to CosmosDB or Spanner. Although exciting, note the sharp compatibility edges before jumping in.

Security

• Securely share AWS resources across VPC and account boundaries
  Resource Gateways expose a single resource (IP, DNS, or ARN) to VPC Lattice and Step Functions, including TCP resources like databases, with gateways being free to create. This provides a new, cost-competitive alternative to VPCEs and TGWs.

Migration & Transfer Services

• AWS Database Migration Service now automates time-intensive schema conversion tasks using generative AI
  AWS DMS Schema Conversion converts up to 90% of your schema to accelerate your database migrations & reduce manual effort with the power of GenAI.

• AWS Transfer Family web apps for fully managed Amazon S3 file transfers
  AWS Transfer Family web apps are a new resource that you can use to create a simple interface for authorized line-of-business users to access data in Amazon S3 through a customizable web browser.

• Introducing default data integrity protections for new objects in Amazon S3
  Amazon S3 updates the default behavior of object upload requests with new data integrity protections that build upon S3’s existing durability posture.

Containers

• Use your on-premises infrastructure in Amazon EKS clusters with Amazon EKS Hybrid Nodes
  Kubernetes management across your cloud and on-premises environments with Amazon EKS Hybrid Nodes _ to use existing hardware while offloading control plane responsibilities to EKS for consistent operations.

• Streamline Kubernetes cluster management with new Amazon EKS Auto Mode
  With EKS Auto Mode, AWS simplifies Kubernetes cluster management, automating compute, storage, & networking, enabling higher agility and performance and reducing operational.

Analytics

• Simplify analytics & AI/ML with new Amazon SageMaker Lakehouse.
  Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes & Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

• Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight
  Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to analysis up to 10x faster than spreadsheets.

• New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse
  Analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines & enabling seamless insights .

Generative AI / Machine Learning

• Amazon Bedrock IDE enables teams to rapidly build & customize
  Accelerate your generative AI app development.

• Amazon Nova foundation models
  https://aws.amazon.com/blogs/aws/introducing-amazon-nova-frontier-intelligence-and-industry-leading-price-performance/

• Amazon Bedrock Marketplace
  New capability that gives you access to over 100 popular, emerging, and specialized foundation models (FMs) through Amazon Bedrock.
  Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

• Amazon Bedrock Prompt caching and intelligent prompt routing
  Two capabilities that help reduce costs and latency for generative AI applications. Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

• Multi-agent collaboration capability
  With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills.

• Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support
  Build responsible AI applications _ Safeguard them against harmful text and image content with configurable filters and thresholds.

• New Amazon Bedrock capabilities enhance data processing and retrieval
  Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, & structured querying, accelerating AI application development.

• RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock
  Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale.

• Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation
  Automates the process of creating a distilled model for your specific use case by generating responses from a large foundation model & fine-tunes a smaller FM with the generated responses.

• Automated reasoning checks https://lnkd.in/g8NmGk4B

• Amazon Kendra GenAI Index to connect more than 40 enterprise data sources with Amazon Bedrock Knowledge Bases https://lnkd.in/gRfsAtqv

• Amazon Bedrock Data Automation to extract information from documents, audio, images & videos and transform it into structured formats https://lnkd.in/gaKRiFaa

• Amazon Q Developer to build ML models in SageMaker Canvas
  Q Developer empowers non-ML experts to build ML models using natural language. faster with reduced time to market.

• Next generation of Amazon SageMaker: The center for all your data, analytics, & AI
  Unify data engineering, analytics, & generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

• Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance
  Enable priority-based resource allocation, fair-share utilization, & automated task preemption for optimal compute utilization across teams.

• Accelerate foundation model training & fine-tuning with new Amazon SageMaker HyperPod recipes
  Training & fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance.

• Discover, govern, collaborate on data & AI securely with Amazon SageMaker Data & AI Governance
  Manage data & AI assets through a unified catalog, granular access controls, & a consistent policy enforcement. Establish trust via automation.

• Amazon Q Business is adding new workflow automation capability & 50+ action integrations
  Amazon Q Business extends productivity with generative AI-powered workflow automation capability and 50+ actions for enterprise efficiency, enabling seamless task execution across tools like ServiceNow, Jira and Asana.

• New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences
  Amazon Q Business capabilities help ISVs integrate with the Amazon Q index to retrieve data from multiple sources through a single API & customize the design of their Amazon Q embedded assistant.

• Introducing Amazon Nova foundation models: Frontier intelligence & industry leading price performance
  Amazon Nova foundation models deliver frontier intelligence & industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and hq images and videos.

• Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks
  Enhance conversational AI accuracy with Automated Reasoning checks — first & only gen AI safeguard that helps reduce hallucinations.

• Enhance your productivity with new extensions & integrations in Amazon Q Business
  Seamlessly access AI assistance within work applications with Amazon Q Business’s new browser extensions & integrations.

• New APIs in Amazon Bedrock to enhance RAG applications
  With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance.

• New PartyRock capabilities & free daily usage
  Unleash your creativity with PartyRock’s new AI capabilities: generate images, analyze visuals, search hundreds of thousands of apps, & process multiple docs simultaneously — no code.

• Amazon Q Business adds support to extract insights from visual elements within documents
  Users can now query information embedded in various types of visuals, including diagrams, infographics, charts, & other image-based content.

Some of Resources here from AWS Documentations and Blog.