エピソード

  • The future of fast builds: inside Depot's cloud-native CI/CD platform

    The future of fast builds: inside Depot's cloud-native CI/CD platform
    2025/08/22
    In this episode, Jacob Gillespie, co-founder and CTO of Depot, reveals how they're changing CI/CD by making builds dramatically faster. Learn how Depot achieves up to 40x speed improvements through innovative use of AWS services, sophisticated caching mechanisms, and custom low-level optimizations. Jacob shares technical details about their architecture, from EC2 instance management to distributed storage solutions, and explains how they handle everything from container builds to macOS development. Whether you're struggling with slow builds or interested in cloud-native architecture, this episode offers valuable insights into modern CI/CD optimization.
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    40 分
  • Empowering Women in Tech: A Perspective from India

    Empowering Women in Tech: A Perspective from India
    2025/08/15
    This episode of the AWS Developers Podcast focuses on the empowerment of women in technology, particularly in India. The conversation highlights personal journeys of women in tech, the challenges they face, the importance of mentorship, and the need to break stereotypes surrounding women in the tech industry. The speakers share their experiences, insights, and advice for aspiring women in tech, emphasizing the significance of community support and the role of male allies in fostering an inclusive environment.
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    33 分
  • Vibe Coding — The future of AI-assisted development?

    Vibe Coding — The future of AI-assisted development?
    2025/08/08
    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.
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    33 分
  • Lambda Extensions - the unsung hero for observability

    Lambda Extensions - the unsung hero for observability
    2025/08/01
    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.
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    29 分
  • The power of MCP servers with Amazon Bedrock agents

    The power of MCP servers with Amazon Bedrock agents
    2025/07/25
    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.
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    35 分
  • Breaking data silos with Amazon Sagemaker Unified Studio

    Breaking data silos with Amazon Sagemaker Unified Studio
    2025/07/18
    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.
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    33 分
  • Jupyter Hub on Amazon EKS

    Jupyter Hub on Amazon EKS
    2025/07/11
    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.
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    34 分
  • Your next ETL pipeline will be serverless

    Your next ETL pipeline will be serverless
    2025/07/04
    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.
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    30 分