Episodes

  • AWS Compute Optimizer: Beyond Simple Resource Sizing

    AWS Compute Optimizer: Beyond Simple Resource Sizing
    Apr 25 2025
    Join us for an in-depth conversation with Rick Ochs from AWS as we explore the powerful capabilities of AWS Compute Optimizer. Discover how this free tool changes cloud resource management by leveraging machine learning to deliver precise recommendations for EC2 instances, EBS volumes, and more. Rick shares insights on how Compute Optimizer analyzes historical utilization data to help organizations optimize both cost and performance, while respecting customer privacy through opt-in features. Learn about the tool's evolution, its integration with auto scaling groups, and how it handles everything from basic resource sizing to complex performance management decisions. We also dive into the future of cloud optimization, exploring upcoming AI integrations and discussing how AWS builds trust in its recommendations. Whether you're managing a small deployment or a large-scale infrastructure, this episode offers valuable insights into maximizing your AWS resources while maintaining optimal performance and cost efficiency.
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    45 mins
  • The new stack: AI, Tools, MCP (& Amazon Bedrock)

    The new stack: AI, Tools, MCP (& Amazon Bedrock)
    Apr 18 2025
    In this episode of the AWS Developers Podcast, Sebastien Stormacq is joined by Giuseppe Battista and Kevin Shaffer-Morrison for a deep dive into Agentic AI and the Model Context Protocol (MCP). They explore how startups are rapidly adopting generative AI and the business and technical hurdles they encounter along the way. The conversation covers how AI agents are integrated into workflows, the role of orchestration technologies, and how tools enhance the planning capabilities of AI models. The trio unpacks the MCP framework and its potential to standardize communication between large language models and tools—drawing a compelling analogy to how USB transformed hardware interactions. They also discuss the complexities of tool orchestration, including resource management and security, and what the rise of ‘tool definition engineering’ means for the future. From integrating MCP with platforms like Amazon Bedrock to rethinking the role of software engineers, this episode looks at how AI is reshaping the foundations of modern software development.
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    49 mins
  • Behind the Scenes of AWS SDK Development

    Behind the Scenes of AWS SDK Development
    Apr 11 2025
    In this episode of the AWS Developers Podcast, we sit down with Trevor Rowe, Senior Manager of the AWS SDK team, for a deep dive into the evolution and inner workings of the AWS SDKs. We explore how the SDKs scale to support over 320+ AWS services, the importance of maintaining backward compatibility, and the role of developer experience in shaping the SDK design. Trevor explains how the team uses Smithy to automate code generation, ensuring consistency and efficiency across different programming languages. The conversation touches on the growing adoption of modular architecture, community contributions via GitHub, and the team's efforts to improve performance, define better schemas, and simplify migrations. Whether you're building cloud applications or maintaining complex integrations, this episode offers a behind-the-scenes look at how AWS builds and evolves its core developer tools.
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    41 mins
  • promptz.dev, a repository for your Amazon Q Developer prompts

    promptz.dev, a repository for your Amazon Q Developer prompts
    Apr 4 2025
    In this episode of the AWS Developers Podcast, we welcome Christian Bonzelet to discuss the art of prompting in software development. Together, we explore how PromptZ.dev helps developers structure and share their prompts to maximize efficiency. Christian shares his insights from hands-on workshops, the challenges engineers face, and the importance of community feedback. The episode also delves into the technologies used to build the platform, including Amplify Gen2, DynamoDB, and Cognito, as well as its integration with Amazon Q. Finally, they discuss the impact of AI on developers' workflows and the future of PromptZ.dev.
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    29 mins
  • AWS Trust Center: a conversation with AWS's CISO.

    AWS Trust Center: a conversation with AWS's CISO.
    Mar 28 2025
    In this episode, Chris Betz, Chief Information Security Officer (CISO) at AWS, introduces the Trust Center, a new essential resource for understanding security and trust in the cloud. He explains how AWS helps businesses navigate the challenges of compliance, data protection, and security best practices. Betz also shares practical advice for developers, enabling them to seamlessly integrate security into their projects and leverage the available tools. He highlights the key role of Nitro technology in optimizing security and emphasizes the importance of visibility in maintaining customer trust. A must-listen episode for anyone concerned with cloud security.
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    32 mins
  • Duolingo: continuous integration on Amazon EC2 Mac

    Duolingo: continuous integration on Amazon EC2 Mac
    Mar 21 2025
    In this episode of the AWS Developers Podcast, we explore how Duolingo—the app with 100 million monthly active users—optimized its CI/CD infrastructure to handle builds for 300 pull requests every week. Sharanya Viswanath and Murtaza Javaid explain how their platform engineering team reduced build times from 50 minutes to just 16 minutes by migrating to Amazon EC2 Mac and implementing advanced autoscaling and caching strategies. We also discuss the importance of modularization, macOS and Xcode version management, and automation with Fastlane to make the process more robust and efficient. An interesting discussion on the technical challenges and solutions put in place to ensure resilience and stability for iOS builds at scale.
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    43 mins
  • Lambda Event Sources: From Infrastructure to Implementation

    Lambda Event Sources: From Infrastructure to Implementation
    Mar 14 2025
    Hosts Tiffany Souterre and Sebastien Stormacq sit down with Rajesh Pandey to explore the critical role of events in AWS Lambda. They dive deep into how events trigger Lambda functions and how AWS has built infrastructure to ensure high availability while optimizing costs for customers. Rajesh explains the various event sources supported by Lambda and discusses important considerations around streaming data, latency, and performance. The conversation covers essential topics for developers including message handling, at-least-once delivery guarantees, and the developer's responsibility in tracking and managing messages. The trio explores advanced features such as event filtering—a highly popular capability that has evolved rapidly—and batching configurations that can significantly impact application performance. They also discuss observability best practices essential for successful service integrations and recent innovations with Kafka that offer ultra-low latency options. Whether you're new to serverless or an experienced Lambda developer, this episode provides valuable insights into building resilient, cost-effective, and high-performing event-driven architectures on AWS.
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    43 mins
  • The AWS Documentation, past, present, and future

    The AWS Documentation, past, present, and future
    Mar 7 2025
    In this episode of the AWS Developers Podcast, we welcome Greg Wilson, Director of AWS Documentation, SDK, and CLI. Together, we dive into the world of AWS documentation, its evolution, and the challenges it presents. Greg shares how his team is restructuring content to improve accessibility and make it easier for developers to find the information they need. He explains how customer feedback drives improvements and how AI is beginning to play a role in optimizing and generating documentation. We also discuss the new Decision Guides, designed to help users choose the right AWS services based on their specific needs. Finally, Greg gives us a glimpse into the priorities for 2025 and beyond, including enhancing the user experience and integrating personalized recommendations. A fascinating conversation for anyone who relies on AWS documentation in their daily work.
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    50 mins
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