AWS PartnerCast

Amazon ECS is a great fit for building scalable and secure multi-tenant SaaS applications mainly because the native integration support it provides with various AWS services for implementing multi-tenant features. Combining ECS application plane with SBT provides an elevated value proposition for building operationally efficient SaaS, also to seamlessly modernize applications in to SaaS delivery model on AWS. This session dives into details of implementing different tenant isolation strategies, tier-based deployment, handling noisy neighbors, and scaling request routing by leveraging Amazon ECS. We'll also explore how newly launched AWS ECS SaaS reference architecture empowers partners with best practices to drive their SaaS modernization journey with a demo of building a functional multi-tenant SaaS on ECS illustrating its effectiveness in reducing development time and accelerate time to market.

Join us for a comprehensive technical deep dive into building enterprise-ready Generative AI solutions using Amazon Bedrock and Amazon Q. This session will equip partners with practical knowledge across three critical areas of GenAI implementation.We'll start by exploring advanced development patterns in Amazon Bedrock, including foundation model selection, Retrieval Augmented Generation (RAG) architectures, and fine-tuning strategies for building production-grade applications. You'll learn best practices for integrating enterprise data sources, optimizing model performance, and managing costs effectively.Next, we'll demonstrate Amazon Q's enterprise capabilities, showcasing integration patterns for business productivity and developer workflows. Learn how to customize Q for specific business domains, implement code assistance features, and leverage its operational support capabilities within existing enterprise systems.The session will conclude with essential security and governance frameworks for GenAI implementations. We'll cover data governance, access controls, prompt filtering, and compliance considerations crucial for enterprise deployments. You'll gain practical insights into implementing responsible AI practices while maintaining robust security standards.Through live demonstrations and real-world examples, partners will gain the technical depth needed to architect, build, and deploy secure, scalable Generative AI solutions for their customers.Technical Areas Covered:* Foundation model implementation and RAG architectures* Fine-tuning strategies and cost optimization* Amazon Q integration patterns and customization* Security controls and governance frameworks* Responsible AI practices* Enterprise deployment strategiesTarget Audience: Solutions Architects, Technical Leaders, and Developers working with enterprise customers on Generative AI initiative

This session explores the practical implementation of Event-Driven Architecture (EDA) using Amazon ECS with AWS Fargate, highlighting how organizations can build flexible and resilient systems.

Join us for an insightful session on modernizing your IBM AS/400 (IBM i) workloads to AWS using Base100's innovative Caravel solution. This comprehensive event will demonstrate how enterprises can seamlessly transition their legacy AS/400 applications to a modern, scalable cloud infrastructure while preserving business logic and reducing operational costs.Discover how this partnership between AWS and Base100 helps organizations:

Join this webcast to learn how CloudCasa enhances resiliency and simplifies application mobility for Kubernetes environments such as self-managed Red Hat OpenShift on AWS, Red Hat OpenShift Service on AWS (ROSA) and Amazon EKS. Discover disaster recovery, replication, full stack backup and granular recovery abilities through live demos. CloudCasa supports both CSI and non-CSI volumes such as EBS volumes, Amazon RDS databases, and on-the-fly full stack Kubernetes cluster recovery and data migration.

In this session, you will learn how to leverage the innovative features of Amazon Aurora to create scalable, efficient, and cost-effective database solutions for modern applications. We will focus on three key components: Serverless Instance, Limitless Database, and DSQL. In this session you will learn how to: 1. *Implement* Aurora Serverless Instance, which offers an on-demand, auto-scaling configuration that automatically adjusts capacity based on application needs, optimizing both cost and performance. 2. *Utilize* the Limitless Database to enable horizontal scaling, handling millions of write transactions per second and managing petabytes of data seamlessly. 3. *Harness* DSQL, a distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management, to enhance performance and scalability for complex, high-volume workloads. Throughout the presentation, we will clarify the differences between these features, helping you gain insights into how Amazon Aurora can support your database needs.

Did you know that a single missed end-of-support deadline could disrupt your entire cloud infrastructure? As AWS environments expand across multiple accounts and regions, the challenge of tracking service retirements becomes a high-stakes game of digital lifecycle management. This session reveals how AWS Health can transform this challenge into an opportunity for automation and efficiency. Learn to orchestrate automated notifications, build intelligent response workflows with AWS Health API and EventBridge, and gain visibility through AWS Health Dashboard to Future-proof your infrastructure with proactive lifecycle management strategies.Agenda:- Awareness on Obsolescence impact and opportunity for partners- Available toolings to help address.Who should attend?- Well-Architected Framework Practitioners- Solutions Architects- Cloud Consultants- Technical Account Managers- DevOps Engineers- Cloud Governance Teams- Technical Directors- Software Developers

Join us to discover the latest Application Modernization opportunities for AWS Partners in 2025, where we'll explore our comprehensive portfolio of sales plays designed to accelerate your customers' cloud journey. We'll cover strategies for cloud-native migration, managed container adoption, Microsoft and VMware workload modernization, serverless transformation, and Generative AI-driven modernization with Amazon Q Developer Transformation. Learn how to leverage these plays alongside programs like the Migration Acceleration Program (MAP) to drive customer success, unlock new revenue streams, and accelerate the modernization of your customers' applications. This session is essential for partners looking to expand their AppMod practice and stay competitive in 2025.

Join this series to hear about Amazon Elastic VMware Service (Amazon EVS), a new native AWS service that enables customers to run VMware Cloud Foundation (VCF) directly within their Amazon Virtual Private Cloud (Amazon VPC). Amazon EVS simplifies and automates the deployment of a ready-to-use VCF environment, allowing customers to quickly migrate VMware-based virtual machines to AWS, while keeping the same familiar VCF stack they already use on-premises.

We'll begin with a comprehensive look at Amazon GuardDuty's extended threat detection capabilities, showcasing how AI/ML-powered attack sequence identification helps identify complex attack patterns and sophisticated threats. Learn how GuardDuty's enhanced detection models provide deeper visibility into potential security risks and automate response workflows.Next, we'll explore AWS's new declarative policies approach to governance, demonstrating how to simplify and scale your security and compliance requirements. You'll learn practical implementations of policy-as-code, automated guardrails, and how to maintain consistent security controls across your multi-account environments.The session will conclude with a deep dive into Amazon OpenSearch Service's zero-ETL integration with Amazon Security Lake. Discover how to build advanced security analytics capabilities, leverage normalized security data across multiple sources, and create comprehensive security insights without complex data pipeline management.Through practical demonstrations and real-world examples, partners will learn how to:* Implement advanced threat detection and response strategies* Design and deploy scalable governance frameworks* Build comprehensive security analytics solutions* Automate security operations and compliance monitoring* Integrate security findings across AWS servicesTechnical Areas Covered:* GuardDuty AI/ML attack sequence detection* Declarative policy implementation* Security Lake integration patterns* Zero-ETL security analytics* Multi-account security management* Automated response workflowsTarget Audience: Security Engineers, Solutions Architects, and Technical Leaders working on cloud security initiatives.

This session introduces Amazon Q Developer's new generative AI-powered capabilities for accelerating the modernization of .NET Framework applications to cross-platform .NET. Attendees will learn how this tool can port Windows-based .NET applications to Linux-ready versions up to four times faster than traditional methods, potentially realizing up to 40% savings in licensing costs. The presentation will showcase how developers can use natural language interactions with Amazon Q Developer to initiate and manage the transformation process, from assessment to code porting and unit test adaptation.

In this session we will dive deep into Amazon Nova's family of large language models and discover how to leverage their capabilities to build sophisticated AI applications. This 60 minute technical session will also explore the nuances of Nova's different model variants, their specific strengths, and optimal use cases. Participants will learn advanced prompting techniques for Nova Understanding models and Nova Content creation models.