The AWS Developers Podcast

In this engaging discussion, Vivek Raja, VP of Product and AWS Machine Learning Hero, delves into the world of Amazon Bedrock and the transformative potential of Managed Command Processor (MCP) servers. He explores how agents and tools differ in AI, highlighting the groundbreaking Model Context Protocol for streamlining interactions between language models and data. The talk covers the integration of MCP with Bedrock, emphasizing security, cost tracking, and the importance of model choice in tool orchestration. Raja also tackles the developer challenges in standardizing AI technologies.

In this discussion with Dipali Kulshrestha, an AWS Hero and Cloud Data Leader in FinTech, she shares insights on transitioning from fragmented data silos to a unified platform using Amazon SageMaker Unified Studio and AWS DataZone. Topics include overcoming integration challenges, enhancing governance, and establishing an internal data marketplace. Dipali also highlights the importance of data classification in regulated industries and shares user feedback on SageMaker's transformative features, emphasizing effective data management and the potential for improved AI model development.

Join Adit Modi, an AWS Solution Architect and 12x certified expert, as he dives into deploying Jupyter Hub on Amazon EKS. He discusses the complexities of scaling Jupyter environments, emphasizes security with Azure AD integration, and shares resource optimization tactics using Karpenter. Adit also explores how to enhance JupyterHub with Q integration for better performance and debugging. With insights on EFS for data management and the importance of observability tools, he inspires data scientists and engineers to elevate their cloud capabilities.

Poonam Pratik Patel, Director at The Line Tech UK and AWS Community Builder, dives into the world of serverless ETL implementation. She shares insights on how serverless architectures can streamline data processing while ensuring accuracy. The discussion includes practical strategies for data validation and partitioning, alongside the integration of AWS tools like Glue and Lambda. Poonam also highlights the transformative role of AI and ML in the evolution of data pipelines, making them more efficient and scalable.

In this episode of the AWS Developers Podcast, recorded live at the AWS Summit in London, we dive into the world of chaos engineering with guest Simon Hanmer, Principal Consultant at GlobalLogic and AWS Community Builder. Together with Tiffany and Sébastien, we unpack what chaos engineering is, why it matters for resilience in modern cloud architectures, and how AWS customers are adopting these practices today. Simon explains how chaos engineering isn't about breaking things for fun, but about building confidence in how systems behave under stress—just like astronauts or firefighters train for the worst-case scenarios. We discuss AWS Fault Injection Service (FIS), best practices for injecting controlled failures, and how to safely test your assumptions before disaster strikes. Simon shares practical insights from his work with enterprise customers, the evolution of resilience testing from data centers to the cloud, and what’s next for chaos engineering, including integrating into CI/CD pipelines and shifting testing left. If you're curious about how to make your cloud architecture truly resilient—or how Netflix and Amazon do it in production—this is the episode for you.With Simon Hanmer, UK&I Principal Consultant, GlobalLogicChaos EngineeringSimian Army from Netflix (now deprecated)Fault Injection ServiceLocalstackAdrian Hornsby's blog on resilienceThe Amazon builder library

In this episode, Seb and Abram Douglas dive deep into OAuth 2.0 and the challenges of machine-to-machine (M2M) authentication. They unpack the security trade-offs between API keys and the client credentials grant flow, explaining how Amazon Cognito can generate time-bound access tokens and use Lambda triggers for token customization. The conversation highlights token claims, secure verification methods, and how API Gateway integrates with Cognito for simplified authorization. Seb and Abram also explore fine-grained access control using Amazon Verified Permissions and outline best practices like securing secrets with AWS Secrets Manager, rotating client credentials, and enabling AWS WAF. Finally, they look ahead to the role of AI agents in secure M2M communication, stressing the importance of user consent, identity propagation, and robust token management in future architectures.With Abrom Douglas, Solution Architect, Amazon CognitoEmpower AI agents with user context using Amazon CognitoCognito User PoolClient Credentials Flow, OAUth 2 specification

In this episode, we celebrate a decade of cloud innovation at Adobe with Johannes Gehrs, Site Reliability Engineer, who shares how his team keeps AWS environments clean, efficient, and developer-friendly. We dive into practical strategies to reduce account sprawl, enforce good governance, and standardize everything on infrastructure as code. From using service control policies to building an internal developer platform, Johannes brings concrete tips that scale across large organizations. Whether you're wrestling with cloud governance or looking to optimize your AWS spend, this episode delivers insights you can apply right away.With Johannes Gehrs, Site Reliability Engineer, AdobeAdobeAWS OrganizationsAWS Ground Station - cService Control Policies (SCP)Resource Control Polciies (RCP)S3 Intelligent TieringInternal Developer Platform (IDP)Backstage: An open source framework for building developer portalsTerraform plan commandCloudFormation change setsKRO: Kube Resource Orchestration

In this episode of the AWS Developers Podcast, we explore the first major step in Cancer Research UK’s broader move to serverless: the migration of their payment systems. While this application was the first to make the shift, it paved the way for many other products and services that have since followed suit—marking a significant milestone in their serverless journey. Our guests, Ellie Wintram and Swetha Podduturi, walk us through the motivations behind the migration, the architecture decisions that shaped it, and the key AWS services that made it possible. They share how technologies like AWS Lambda and DynamoDB enabled cost savings of up to 94%, why TypeScript was the right fit for their microservices, and how observability and load testing were central to building trust in the new system. Whether you're planning a migration or curious about serverless best practices in production, this episode is packed with technical insights and practical lessons from the field.With Swetha Podduturi, Software Engineer, Cancer Research UK ; With Ellie Wintram, Software Engineer, Cancer Research UKCancer Research UK

Everton Oliveira and Krzysztof Głuszczyk from Ryanair discuss the airline's ambitious integration of generative AI to meet its goal of 300 million passengers. They highlight the importance of responsible AI, including the establishment of an AI compliance hub amidst regulatory challenges. The duo provides insights into identifying use cases and optimizing processes, balancing innovation with compliance, and the role of cross-functional collaboration. With a commitment to continuous improvement, they share how they evaluate AI responses through both human and automated systems.

Tobie Morgan Hitchcock, Co-founder & CEO of SurrealDB, dives into the groundbreaking world of multi-model databases. He explains how SurrealDB simplifies complexity by separating storage from compute while supporting various data models. Tune in as he discusses the shift from Golang to Rust, the flexibility of schema definitions, and practical use cases for real-time decision-making in the cloud. Plus, hear about the importance of open-source innovation and how SurrealDB stands up to competitors like Postgres and MongoDB.