Top announcements of AWS re:Invent 2024

AWS re:Invent 2024, our flagship annual conference, is taking place Dec. 2-6, 2024, in Las Vegas. This premier cloud computing event brings together the global cloud computing community for a week of keynotes, technical sessions, product launches, and networking opportunities. As AWS continues to unveil its latest innovations and services throughout the conference, we’ll keep you updated here with all the major product announcements.

Additional re:Invent resources:

• AWS News Blog: Chief Evangelist Jeff Barr and colleagues keep you posted on the biggest and best new AWS offerings.
• What’s New with AWS: A comprehensive list of all AWS launches.
• The Official AWS Podcast: A podcast for developers and IT professionals looking for the latest news and trends from AWS.
• AWS On Air: Live-streamed announcements and hands-on demos.
• AWS re:Post: Join the community in conversation through Q&A.

(This post was last updated: 4:30 p.m. PST, Dec. 4, 2024.)

Quick category links:

Analytics | Application Integration | Business Applications | Compute | Containers | Database | Developer Tools | Education & Training |Generative AI / Machine Learning | Management & Governance | Migration & Transfer Services | Partner Network | Security, Identity, & Compliance | Storage

Analytics

Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse.

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and 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 perform complex scenario analysis up to 10x faster than spreadsheets.

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse
Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

AWS Clean Rooms now supports multiple clouds and data sources
With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights.

Application Integration

Business Applications

Newly enhanced Amazon Connect adds generative AI, WhatsApp Business, and secure data collection
Use innovative tools like generative AI for segmentation and campaigns, WhatsApp Business, data privacy controls for chat, AI guardrails, conversational AI bot management, and enhanced analytics to elevate customer experiences securely and efficiently.

Compute

Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available

With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, these instances deliver unprecedented compute power for ML training and gen AI.

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

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

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

Containers

Use your on-premises infrastructure in Amazon EKS clusters with Amazon EKS Hybrid Nodes
Unify Kubernetes management across your cloud and on-premises environments with Amazon EKS Hybrid Nodes – 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, and networking, enabling higher agility and performance while reducing operational overhead.

Database

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

Developer Tools

New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests

Enhancing coding productivity, Amazon Q Developer agents now offer capabilities for auto-generating documentation, conducting code reviews, and creating unit tests within IDEs and GitLab.

Announcing Amazon Q Developer transformation capabilities for .NET in IDE (preview)
Unlock Linux’s power with Amazon Q Developer’s transformation capabilities for .NET porting – effortlessly modernize .NET applications from Windows to cross-platform .NET in your familiar IDE.

Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads in a web experience (preview)
Amazon Q Developer streamlines large-scale transformations using generative AI agents supervised by teams through a unified web experience, accelerating .NET porting, mainframe modernization, and VMware migration.

Investigate and remediate operational issues with Amazon Q Developer (in preview)
Amazon Q Developer can now help you investigate and remediate operational issues quickly from anywhere in the AWS Management Console, accelerating the troubleshooting process for operators of all experience levels.

Introducing GitLab Duo with Amazon Q
GitLab Duo with Amazon Q streamlines software development across tasks and teams by embedding advanced AI agent capabilities into the GitLab workflows developers already know.

Education & Training

AWS Education Equity Initiative: Applying generative AI to educate the next wave of innovators
Amazon commits $100M to empower education equity initiatives, enabling socially-minded organizations to create AI-powered digital learning solutions. This aims to reach underserved students globally through innovative platforms, apps, and assistants.

Generative AI / Machine Learning

Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI

Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.

Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)
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
Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.

Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)
Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

Amazon Bedrock Marketplace: Access over 100 foundation models in one place
Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans
Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.

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

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

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance
Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation – boost productivity and innovation for data teams.

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone
Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.

Amazon Q Business is adding new workflow automation capability and 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, PagerDuty, and Asana.

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

Introducing Amazon Nova foundation models: Frontier intelligence and industry leading price performance

Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.

Introducing multi-agent collaboration capability for Amazon Bedrock (preview)
With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.

Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)
Enhance conversational AI accuracy with Automated Reasoning checks – first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.

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

New 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.

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

New APIs in Amazon Bedrock to enhance RAG applications, now available
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 through advanced reranking models.

Introducing new PartyRock capabilities and free daily usage
Unleash your creativity with PartyRock’s new AI capabilities: generate images, analyze visuals, search hundreds of thousands of apps, and process multiple docs simultaneously – no coding required.

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, and other image-based content.

Management & Governance

Container Insights with enhanced observability now available in Amazon ECS

With granular visibility into container workloads, CloudWatch Container Insights with enhanced observability for Amazon ECS enables proactive monitoring and faster troubleshooting, enhancing observability and improving application performance.

New Amazon CloudWatch Database Insights: Comprehensive database observability from fleets to instances
Monitor Amazon Aurora databases and gain comprehensive visibility into MySQL and PostgreSQL fleets and instances, analyze performance bottlenecks, track slow queries, set SLOs, and explore rich telemetry.

New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience
Unlock out-of-the-box OpenSearch dashboards and two additional query languages, OpenSearch SQL and PPL, for analyzing CloudWatch logs. OpenSearch customers can now analyze CloudWatch Logs without having to duplicate data.

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 and reduce manual effort with the power of generative AI.

Announcing 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.

Partner Network

Security, Identity, & Compliance

New AWS Security Incident Response helps organizations respond to and recover from security events

AWS introduces a new service to streamline security event response, providing automated triage, coordinated communication, and expert guidance to recover from cybersecurity threats.

Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security
AWS extends GuardDuty with AI/ML capabilities to detect complex attack sequences across workloads, applications, and data, correlating multiple security signals over time for proactive cloud security.

Simplify governance with declarative policies
With only a few steps, create declarative policies and enforce desired configuration for AWS services across your organization, reducing ongoing governance overhead and providing transparency for administrators and end users.

AWS Verified Access now supports secure access to resources over non-HTTP(S) protocols (preview)
With only a few steps, create declarative policies and enforce desired configuration for AWS services across your organization, reducing ongoing governance overhead and providing transparency for administrators and end users.

Introducing Amazon OpenSearch Service and Amazon Security Lake integration to simplify security analytics
Analyze security logs without data duplication; Amazon OpenSearch Service now offers zero-ETL integration with Amazon Security Lake for efficient threat hunting and investigations.

Storage

Introducing queryable object metadata for Amazon S3 buckets (preview)

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.

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

Announcing Amazon FSx Intelligent-Tiering, a new storage class for FSx for OpenZFS
Delivering NAS capabilities with automatic data tiering among frequently accessed, infrequent, and archival storage tiers, Amazon FSx Intelligent-Tiering offers high performance up to 400K IOPS, 20 GB/s throughput, seamless integration with AWS services.

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.