エピソード

  • Cancer Research UK goes Serverless

    Cancer Research UK goes Serverless
    2025/06/06
    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.
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    31 分
  • Ryanair: a journey towards responsible AI

    Ryanair: a journey towards responsible AI
    2025/05/30
    In this episode of the AWS Developer Podcast, we dive into Ryanair's journey towards responsible AI. As the airline aims to carry 300 million passengers in less than a decade, it is turning to generative AI to enhance productivity and scale operations. The conversation explores how Ryanair is identifying and implementing use cases, the role of its generative AI center of excellence, and the importance of embedding governance into AI from the very start. You'll hear how the airline is balancing agility with compliance through the creation of an AI compliance hub and a flexible, evolving framework to manage AI risks. The speakers share candid insights into lessons learned, the challenges of cross-functional collaboration, and why responsible AI is a continuous process—one that future teams will be grateful for.
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    36 分
  • Multi-Model Magic: Inside SurrealDB

    Multi-Model Magic: Inside SurrealDB
    2025/05/23
    In this episode of the AWS Developers Podcast, host Sebastien Stormacq sits down with Toby, CEO and co-founder of SurrealDB, to explore the world of multi-model databases. They unpack how SurrealDB stands out by cleanly separating storage from compute, supporting multiple data models within a single engine, and delivering a developer-friendly experience through its web-based tools and Rust-powered core. Toby shares insights into the journey from Golang to Rust, explains how developers can use SurrealDB as either an embedded library or a server, and discusses real-world use cases from edge deployments to real-time decision-making in the cloud. The conversation highlights how open source, performance, and scalability intersect in this modern database technology designed to meet the demands of today’s applications.
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    33 分
  • Inside Valkey GLIDE: building a next-gen Vakey client library with Rust

    Inside Valkey GLIDE: building a next-gen Vakey client library with Rust
    2025/05/16
    This week on the AWS Developers Podcast, we sit down with Avi Fenesh to explore the evolution of Redis into Valkey, an open-source alternative born after Redis changed its licensing model. They take a deep dive into Valkey GLIDE, a new client library designed to provide a seamless developer experience, making it easier to connect to Valkey with zero configuration. The conversation covers the architectural decisions behind Valkey GLIDE, its implementation in Rust for performance and safety, and how it supports multiple programming languages. Avi explains how the AWS-led project has grown into a thriving community-driven effort, placing developer experience, security, and scalability at its core. Topics include API design, Unix domain socket security, and how Valkey GLIDE handles complex scenarios like topology changes in clustered environments. Whether you’re building with Redis, experimenting with Rust, or just curious about the future of open source in-memory database solutions, this episode offers insights into how Valkey GLIDE is reshaping client-library development with a strong focus on community and usability.
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    41 分
  • 3 ways to deploy your large language models on AWS

    3 ways to deploy your large language models on AWS
    2025/05/09
    In this episode of the AWS Developers Podcast, we dive into the different ways to deploy large language models (LLMs) on AWS. From self-managed deployments on EC2 to fully managed services like SageMaker and Bedrock, we break down the pros and cons of each approach. Whether you're optimizing for compliance, cost, or time-to-market, we explore the trade-offs between flexibility and simplicity. You'll hear practical insights into instance selection, infrastructure management, model sizing, and prototyping strategies. We also examine how services like SageMaker Jumpstart and serverless architectures like Bedrock can streamline your machine learning workflows. If you're building or scaling AI applications in the cloud, this episode will help you navigate your options and design a deployment strategy that fits your needs.
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    40 分
  • The golden jacket: a journey towards 12 AWS certifications

    The golden jacket: a journey towards 12 AWS certifications
    2025/05/02
    In this episode of the AWS Developers Podcast, we sit down with Ivan Casco, Principal Solutions Architect, AWS Community Builder, and one of the rare few to have earned all 14 AWS certifications—an achievement that earned him the coveted Golden Jacket. Ivan takes us through his remarkable journey, from his first certification back in 2017 to joining the Community Builders program in 2023, and finally reaching the full set of certifications in 2025. Based between Spain and Dublin, Ivan shares what drove him to pursue this challenge, how he stayed motivated, and which certifications pushed him the most—spoiler alert: networking and machine learning were no walk in the park. We also dive into his favorite study techniques, what it’s really like to sit through the exams, and how these certifications have impacted both his confidence and his career. If you're thinking about starting your own AWS certification path—or you're in the middle of one—this conversation is full of practical advice, community insight, and inspiration. Plus, find out what the golden jacket moment was really like.
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    45 分
  • AWS Compute Optimizer: Beyond Simple Resource Sizing

    AWS Compute Optimizer: Beyond Simple Resource Sizing
    2025/04/25
    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 分
  • The new stack: AI, Tools, MCP (& Amazon Bedrock)

    The new stack: AI, Tools, MCP (& Amazon Bedrock)
    2025/04/18
    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 分