エピソード

  • Scaling ML Infrastructure Like a Pro with Elliott Clark
    2025/04/16

    In this episode, we delve into scalable machine-learning infrastructure with our special guest, Elliott Clark.

    Elliott is a seasoned DevOps expert and the founder of Batteries Included. Having played a pivotal role in building one of the largest online transaction processing systems and leading the ad infrastructure team at Meta, Elliott is perfectly poised to share his immense knowledge on scaling infrastructure and the intricacies of machine learning systems.

    Join us as we discuss the critical aspects of performance testing, leveraging production traffic for testing environments, and the cultural elements pivotal to scaling teams efficiently. We'll also explore how Elliott's company, Batteries Included, strives to bring enterprise-level infrastructure to mid and small-sized companies by automating the essential yet often mundane DevOps tasks.

    Whether you're in the early stages of building infrastructure or looking to enhance your machine learning systems, this episode offers actionable insights and future-forward thinking to help your efforts become more successful.

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    32 分
  • Automation - First DevOps Focus with Kedar Kulkarni
    2025/04/10

    Welcome to another exciting episode of the DevOps Toolchain podcast, where we delve into the dynamic world of DevOps, automation, and cloud infrastructure. Today, we're thrilled to have Kedar Kulkarni, a DevOps and cloud infrastructure expert, join us. Kedar has a wealth of experience in CICD, Kubernetes, and what he calls 'automation first' DevOps. He co-authored a popular IT automation ebook and created the AT-CasC framework, an integral part of Red Hat's automation stack.

    In this episode, we explore his unique approach to infrastructure test automation and the impact of his work in shaping how teams think about testing infrastructure as code.

    We'll dive deep into GitOps and explore open-source tools, learning what it really takes to build DevOps frameworks that matter. Along the way, Kedar shares insights on the significance of infrastructure as code, how to build a successful opensource project, and his thoughts on the future of DevOps practices.

    Whether you're a DevOps professional or just dipping your toes into the field, you won't want to miss this conversation. Tune in as we journey through the essentials of building efficient, scalable, and user-friendly DevOps frameworks that help you stay ahead in the game.

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    30 分
  • DevOps Transformation: Culture, Strategy, and Lessons Learned with Derek Ferguson
    2025/03/26

    In this episode of the DevOps Toolchain podcast, host Joe Colantonio chats with Derek Ferguson, the Chief Software Officer at Fitch, about the dynamic world of DevOps transformation. They explore the intersection of technology and strategy, emphasizing how to navigate regulatory landscapes while fostering innovation.

    Derek shares insights from his diverse career, from his early days in the tech industry to leading the creation of the ESG-focused Sustainable Fitch platform.

    Tune in to discover Derek's perspective on marrying traditional financial metrics with environmental data, the evolving role of AI in development and production, and adopting new tools like Terraform to create seamless DevOps pipelines.

    Try out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required.

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    37 分
  • The API Vector with Jeremy Snyder
    2025/03/20

    Today, we're diving deep into the fascinating world of API security with our special guest, Jeremy Snyder.

    Checkout SmartBear Insight Hub: https://testguild.me/insighthub

    Jeremy is the founder and CEO of Firetail.io and an expert in cloud security, API security, and much more. With his extensive experience working for a primary cloud provider and his passion for cybersecurity, Jeremy shares his insights into the challenges and risks associated with APIs. In this episode, Jeremy discusses the "API Vector" concept, the vulnerabilities present in in-house microservices, and how modern AI can complicate and enhance cybersecurity efforts. Stay tuned as we explore these critical topics and learn practical DevOps techniques to help secure your APIs in today's fast-evolving tech landscape. If you want to bolster your knowledge and defenses around API security, this episode is a must-listen!

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    39 分
  • How Google Improved Developer Experience with Hugo Santos
    2025/03/12

    Today, listen in and discover how Google transformed its developer experience to deliver features at lightning speed. Hugo Santos, the founder and CEO of Namespace Labs, previously helped build Google's microservices platform that powers essential tools like search, photos, and Google Assistant.

    He shares insights from his extensive experience at Google, offering a glimpse into innovative strategies and technologies that continue to shape developer workflows.

    From discussing the intricacies of Google’s internal platforms to his new venture at Namespace Labs, this episode promises a deep dive into improving developer efficiency and collaboration.

    Tune in to discover how these advancements may influence your own DevOps practices!

    Try out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required.

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    40 分
  • Unlocking AI in DevOps with IBM's Watson xCode with Keri Olson
    2025/03/05

    In this episode of the DevOps Toolchain podcast, host Joe Colantonio welcomes Keri Olson, Vice President of Product Management, AI for Code at IBM.

    Try SmartBear Insight Hub: https://testguild.me/insighthub

    Keri, an expert in AI-powered software development solutions, shares insights on the transformative impact of generative AI in various business functions, particularly in software development and IT processes.

    Discover how IBM's Watson X platform, designed to build and deploy generative AI across enterprises, is revolutionizing application modernization, especially for legacy systems like mainframes.

    Listen in as Keri explains the unique features of Watson xCode Assistant and how it's enabling businesses to streamline their software development lifecycle. Whether you're curious about deploying AI for code or understanding the future of AI in DevOps, this episode is packed with actionable insights and expert advice.

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    32 分
  • DevOps Culture and Practice with Tim Beattie
    2025/02/26

    In this episode, our expert guest, Tim Beattie, will help us discover the intricacies of effective DevOps culture and practices. As the CEO and co-founder of Stellafai, Tim draws on over twenty years of industry experience and his comprehensive understanding of blending agile, lean, and intent-based leadership.

    He shares insightful stories from his journey, from his serendipitous introduction to DevOps practices in a smaller consulting firm to his impactful tenure as the global head of products for Red Hat Open Initiative Labs. Emphasizing the critical intertwining of people, process, and technology, Tim reveals how these elements, when harmonized, can drive meaningful, high-performing outcomes.

    We also explore the role of metrics, continuous learning, and the mindful use of AI as enablers of DevOps success. Whether you're new to DevOps or looking to refine your team's approach, this episode offers actionable insights to help transform your practices and outcomes. Join us as we unlock the potential for innovation and collaborative success in your DevOps journey.

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    32 分
  • AI/ML, MongoDB in DevOps and More with Richmond Alake
    2025/02/21

    In this episode of the DevOps Toolchain Podcast, host Joe Colantonio sits down with Richmond Alake, a developer advocate at MongoDB and an AI/ML practitioner with a strong background in computer vision, robotics, and machine learning. With years of experience in software development, Richmond has authored over 200 technical articles and taught numerous AI/ML courses.

    Together, they dive into the evolving landscape of AI, machine learning, and multimodal AI, discussing how MongoDB shapes the future of AI-powered applications. Richmond shares insights on how vector embeddings, Retrieval-Augmented Generation (RAG), and agentic systems transform data storage and retrieval for AI-driven development. They also explore the impact of generative AI, the rise of multimodal AI, and how MongoDB serves as the memory provider for intelligent systems.

    If you're a developer looking to build AI-powered applications efficiently, streamline your data management, or understand where AI is headed next, this is an episode you don’t want to miss!

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    34 分