The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges and unlock new opportunities. As usual, we have you covered with ourtop announcements of AWS re:Invent 2025that you can learn all about here.
This deck talks about how you can build how to get started to build intelligent agent with Strands.
Welcome to the Kiro IDE guided demo! This demo will walk you through the features and functionalities of Kiro, an integrated development environment designed to streamline your workflow.
Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex infrastructure. Reinforcement fine-tuning is an advanced technique that trains models using feedback instead of massive labeled datasets, but implementing it typically requires specialized ML expertise, complicated infrastructure, and significant investment—with no guarantee of achieving the accuracy needed for specific use cases.
Modern applications increasingly require complex and long-running coordination between services, such as multi-step payment processing, AI agent orchestration, or approval processes awaiting human decisions. Building these traditionally required significant effort to implement state management, handle failures, and integrate multiple infrastructure services.
Since weannounced Amazon SageMaker AI with MLflow in June 2024, our customers have been using MLflow tracking servers to manage theirmachine learning (ML)and AI experimentation workflows. Building on this foundation, we’re continuing to evolve the MLflow experience to make experimentation even more accessible.
Earlier this year, we released a research preview of Nova Act, demonstrating the potential of AI agents to interact with user interfaces and automate complex workflows. Developers experimented with Nova Act and told us they wanted to bring these automation agents to production.
Amazon ECS Express Mode simplifies containerized application deployment by automating infrastructure setup through a single command, allowing developers to focus on building applications while following AWS best practices.
AWS Step Functions' enhanced TestState API now enables local unit testing with mocking support, comprehensive state type validation, and individual state testing capabilities without requiring AWS deployment or IAM permissions.
Amazon EKS introduces Container Network Observability, providing enhanced visibility into Kubernetes workload traffic and performance insights to help teams monitor and troubleshoot microservice environments.
AWS IAM now enables outbound identity federation, allowing developers to securely authenticate AWS workloads with external services using short-lived JSON Web Tokens instead of storing long-term credentials like API keys and passwords.
AWS Lambda introduces tenant isolation mode, enabling separate execution environments for each tenant within a single function to meet strict security requirements without managing dedicated per-tenant infrastructure.
The Nova Act extension is a new IDE-integrated tool that enables developers to create browser automation agents using natural language through the Nova Act model, offering features like Builder Mode, chat capabilities, and predefined templates.
AWS has launched its first New Zealand Region with three Availability Zones, marking its 16th Region in Asia Pacific and enabling local data residency for New Zealand organizations.
Perform safer container application deployments without custom deployment tooling, enabling you to ship software updates more frequently with near-instantaneous rollback capability.
Amazon EventBridge now supports enhanced logging capabilities that enable you to easily monitor and debug your event-driven applications on AWS. Enhanced logging provides complete event lifecycle tracking with detailed logs.
Amazon SageMaker has introduced three new capabilities—Amazon QuickSight integration for dashboard creation, governance, and sharing, Amazon S3 Unstructured Data Integration for cataloging documents and media files, and automatic data onboarding from Lakehouse.
Amazon DynamoDB now offers multi-Region strong consistency capability for global tables, providing the highest level of application resilience and enabling your applications to be always available.
AWS Security Hub has been enhanced with new capabilities that integrate multiple AWS security services to automatically discover resources, evaluate risks, analyze attack paths, and provide AI-assisted recommendations.
AWS CodeBuild now offers Docker Server capability, enabling a dedicated and persistent Docker server within projects that dramatically reduces build times by maintaining a centralized cache, as demonstrated by a 98% reduction in build time from 24 minutes to just 16 seconds.
Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI application development across virtually any use case.
Amazon GameLift Streams is a new managed capability that enables game developers to deliver high-quality game streaming experiences through web browsers on virtually any device, with support for 1080p/60fps gameplay and flexible scaling options.
AWS launches Asia Pacific (Thailand) Region with 3 Availability Zones, accelerating cloud adoption. Strategically located to meet data residency needs, it drives innovation across industries.
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.
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.
Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.
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.
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.
Seamlessly access AI assistance within work applications with Amazon Q Business's new browser extensions and integrations.
Identity management revamped: Amazon Cognito unveils customizable login flows, passwordless options, and tiered pricing for tailored authentication experiences.
Unleash your inner developer with AWS App Studio, the generative AI-powered application builder. Turn your idea into fully-fledged, intelligent, custom, secure, and scalable software in minutes.
Simplify networking for containerized apps with native VPC Lattice-ECS integration, boosting productivity and flexibility across services.
Uncover hidden insights with AWS Supply Chain Analytics, powered by Amazon QuickSight, enabling custom reporting and data visualization for smarter supply chain management.
Deploy static sites with streamlined configuration, custom domains, SSL, CDN, and one-click updates using Amazon S3 with AWS Amplify Hosting.
The new AWS Asia Pacific (Malaysia) Region bolsters cloud innovation, empowering local businesses and government initiatives while aligning with Malaysia's sustainability goals through Amazon's renewable energy commitment.
Effortlessly build apps with AI-powered low-code tools, enabling organizations to create secure custom apps in minutes without dev teams – streamlining processes like claims, inventory, and approvals.
Serverless is an operating model, where we delegate various activities that do not provide value to our business to other parties. By delegating these things, we can focus on improving business logic and not worrying about infrastructure. This article describes few reasons why adopting AWS serverless services might be a good approach for you.
Amazon Connect's analytics data lake centralizes customer data for powerful performance analysis without complex pipelines.
This generative AI–powered assistant helps developers build applications on AWS, research best practices, perform troubleshooting, and resolve errors.
Amazon Timestream now supports InfluxDB as a database engine, making it easy to run near real-time time-series applications using InfluxDB and open source APIs.
Amazon DevOps Guru now provides log anomaly detection and recommendations to help you quickly identify and resolve operational issues in your applications.
Serverless is an operating model, where we delegate various activities that do not provide value to our business to other parties. By delegating these things, we can focus on improving business logic and not worrying about infrastructure. This article describes few reasons why adopting AWS serverless services might be a good approach for you.
You can use the Private Channel feature to restrict video playback access using Amazon IVS. In this article, we will build a simple website, serverless API, and JWT signing to implement the Private Channel feature in Amazon IVS.
Live streaming is becoming more popular than before as we explore new ways to connect during the restriction in a pandemic situation. In this article, I'll show you how to build your streaming channel using Amazon IVS, so you can host them on your website or applications. Adding a bit of fun, I'll also show you how to add an interactive element to your live streaming to engage your audiences even more.