The AWS Developers Podcast

Join us for an exciting episode recorded live from AWS Summit India in Bangalore, where we dive deep into 'Vibe Coding' with Amazon Q. Our special guest Omshree, an AWS Community Builder and Cloud Engineer, shares her journey of transforming tedious coding tasks into enjoyable experiences using AI-assisted development. Discover how Amazon Q Developer CLI is transforming the way developers build applications, from games to enterprise solutions. Learn about best practices for prompt engineering, the future of AI in software development, and practical insights on maintaining the balance between AI assistance and human expertise. Whether you're a seasoned developer or just starting out, this episode offers valuable perspectives on how AI is reshaping the coding landscape while keeping developers firmly in the driver's seat.

With Omshree Butani, AWS Community Builder

Amazon Q for developers

Kiro

In this episode recorded live from AWS Summit Bangalore, we dive deep into AWS Lambda Extensions and Observability with Jones, a serverless hero and developer advocate at New Relic. Learn about the critical role of observability in serverless architectures, how Lambda Extensions work as sidecars to enhance monitoring capabilities, and the different types of extensions available. Jones explains the extension lifecycle, APIs, and implementation details while sharing real-world use cases from security compliance to distributed tracing. Whether you're an enterprise developer or curious about building custom extensions, this episode provides valuable insights into making your serverless applications more observable and manageable.

With Jones Zachariah Noel N, Sr DevRel Engineer @ New Relic | AWS Serverless Hero

AWS Lambda Extensions

New Relic Lambda Extensions

Remote debugging has been launched two weeks ago

In this episode, we dive into the world of Amazon Bedrock Agent and MCP with special guest Vivek Raja, an AWS machine learning hero. Recorded live from the AWS Summit in Bangalore, we explore the evolving landscape of AI agents, the significance of the Model Context Protocol (MCP), and how these technologies are shaping the future of development. Join us as we discuss the practical applications, challenges, and opportunities that come with integrating AI agents into your workflow. Whether you're a seasoned developer or just starting out, this episode offers insights into the cutting-edge tools and protocols that are transforming the industry. Tune in and discover how to use these technologies in your projects.

With Vivek Raja, VP of Product | AWS ML Hero

Model Context Protocol specifications

AWS MCP Servers

Amazon Bedrock AgentCore

Join us as we talk with AWS Hero and data specialist Dipali at the AWS Summit Bangalore about building enterprise data platforms. She shares how her FinTech company moved from scattered data systems to a unified data platform using AWS DataZone and the newly launched Amazon SageMaker Unified Studio. The episode covers practical challenges of connecting data silos, implementing governance, and creating an internal data marketplace. Dipali discusses multi-cloud integration, organizational changes in data sharing, and her team's experience as early adopters of SageMaker Unified Studio. Learn how this combination of tools helps teams access data and develop AI models more efficiently.

With Dipali Kulshrestha, AWS Hero & Cloud Data Leader

Amazon Sagemaker Unified Studio

Amazon DataZone

Dive deep into the world of Jupyter Hub deployment on Amazon EKS. Join us as we explore the challenges and solutions of scaling Jupyter environments in the cloud, from VPN integration to resource optimization. Our guest shares valuable insights on implementing Azure AD authentication, leveraging Karpenter for EC2 management, and integrating powerful tools like Amazon Q and SageMaker. Whether you're a data scientist, engineer, or cloud architect, discover practical approaches to multi-user Jupyter environments and learn how observability plays a crucial role in maintaining robust applications.

With Adit Modi, Solution Architect, AWS Community Builder, AWS 12x certified

The previous episode of the AWS Developers Podcast talking about the golden jacket

Jupyter notebooks

JupyterHub

Karpenter

Amazon EC2 spot instance

Data on EKS

In this episode from AWS Summit Bengaluru, Poonam Pratik, Director at The Line Tech UK and AWS Community Builder, discusses practical approaches to serverless ETL implementation. We cover key aspects of data processing including quality control, AWS Glue orchestration, and effective data validation methods. Poonam explains how serverless architectures can reduce operational complexity while maintaining data accuracy. The conversation includes concrete examples of data partitioning, error notification systems, and observability practices. We conclude with a look at how AI and ML are changing data pipeline development.

With Poonam Pratik Patel, Director, The Line Tech, UK and AWS Community Builder

Getting started with serverless ETL on AWS Glue

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, GlobalLogic

Chaos Engineering

Simian Army from Netflix (now deprecated)

Fault Injection Service

Localstack

Adrian Hornsby's blog on resilience

The 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 Cognito

Empower AI agents with user context using Amazon Cognito

Cognito User Pool

Client 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, Adobe

Adobe

AWS Organizations

AWS Ground Station - c

Service Control Policies (SCP)

Resource Control Polciies (RCP)

S3 Intelligent Tiering

Internal Developer Platform (IDP)

Backstage: An open source framework for building developer portals

Terraform plan command

CloudFormation change sets

KRO: 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 UK

Cancer Research UK