JUXT Cast

JUXT — A Grid Dynamics Company
  • 5.0 (3)
  • 科技
  • 两月一更

Tech related discussions

  1. 10月3日

    JUXTCast S6E3: Model Risk and the Trust Paradox with David Kelly

    Episode Notes David Kelly is the author of several books, including Handbook of Model Risk Management for Vendors: https://www.linkedin.com/posts/davidkerrkelly_new-publication-handbook-of-model-risk-management-activity-7351188030193295360-nTur/. JUXT CTO Henry Garner will be presenting "Accelerating FINOS AI Governance Framework Adoption in Financial Services" at the upcoming FINOS conference on October 21st-22nd, 2025, in New York.

    58 分钟
  2. JUXTCast S6E2: JUXT's AI Radar out soon!

    7月18日

    JUXTCast S6E2: JUXT's AI Radar out soon!

    Episode Notes In this episode of the JUXTCast, we are joined by Malcolm Sparks (JUXT CTO), Henry Garner (Principal Engineer), Denis Lobanov (Senior Software Engineer), and Joe Littlejohn (Chief Delivery Officer) for an inside look at JUXT’s upcoming AI Radar. Initiated by Henry, the AI Radar is a new initiative designed to organise and share JUXT’s insights, advice, and recommendations on AI-related frameworks, tools, languages, and platforms. The team discusses the goals behind the project, key takeaways from their research so far, and how this evolving radar will support developers and decision-makers navigating the fast-moving AI landscape. Subscribe to our channel and stay tuned as the AI Radar will be available soon! Happy listening!

    52 分钟

  3. 7月8日

    JUXTCast S6E1: New Office, XT25 Fintech Conf, and the rise of AI

    Episode Notes From settling into JUXT’s brand-new office to sharing insights from the XT25 Fintech Conference in London, the team discusses how the industry is evolving and how AI is shaping the future of software, finance, and developer tooling. Whether you're curious about what’s next for JUXT or the broader fintech and AI landscape, this episode sets the tone for an exciting new chapter.

    38 分钟
  4. Exploring Data, Visualization, and Innovation - with Ryan Robitaille

    1月31日

    Exploring Data, Visualization, and Innovation - with Ryan Robitaille

    Episode Notes In this engaging episode of the JUXT Cast, Jeremy Taylor and Malcolm Sparks sit down with Ryan Robitaille, the founder of Rabbit, https://github.com/ryrobes/rvbbit. Ryan shares his unique journey—from working with Oracle systems as a young Solutions Engineer to becoming a creative force in the world of data visualization. Ryan explores his experience building Rabbit, a tool designed to bridge the gap between proprietary BI tools and custom-built engineering solutions. Frustrated by the limitations of traditional tools like Tableau, Ryan envisioned a platform that offers the "best of both worlds": the simplicity of drag-and-drop dashboards with the power and flexibility of live coding and version control. Key Takeaways from the Episode: The Origins of Rabbit: How Ryan’s passion for combining artistry and data engineering sparked the creation of a platform that feels like a "game engine for data." Balancing Build vs. Buy: Insights into the perpetual organizational dilemma of purchasing BI tools versus building in-house solutions. Clojure’s Role: How Clojure and its philosophy of "code is data" played a pivotal role in Rabbit's architecture and flexibility. The Tableau Experience: Ryan reflects on Tableau's transformative early days and where the tool has hit its limits. Empowering End-Users: Why Ryan believes tools should offer a low bar for entry but a high ceiling for complexity. With fascinating anecdotes and deep technical insights, this episode sheds light on how data platforms can evolve to empower creativity, transparency, and collaboration.

    1 小时 30 分钟
  5. Insights into DevOps, AI, and High-Performance Technology Organizations - with Gene Kim

    2024/12/11

    Insights into DevOps, AI, and High-Performance Technology Organizations - with Gene Kim

    Episode Notes This latest episode of the JUXTCast features Gene Kim, a Wall Street Journal bestselling author, celebrated researcher, and multiple award-winning Chief Technology Officer. Gene is widely recognized for his contributions to the DevOps movement and for co-authoring influential works such as The Phoenix Project and The DevOps Handbook. In this engaging discussion, Gene reflects on his career journey, from his time as the founder and CTO of Tripwire to his rediscovery of the joy of programming through Clojure. The episode explores key themes including high-performing technology organizations, the transformative role of AI in programming, and the strategic importance of modularity in systems design. The conversation also offers unique insights into the evolving role of AI in augmenting developer productivity and creativity. Gene shares his hands-on experience with pair programming and discusses the intersection of REPL-based programming, economic principles in software design, and the future of junior developers in an AI-enhanced ecosystem. Thoughts on a “DORA for GenAI and developers” study: https://x.com/RealGeneKim/status/1856146004724330862  2 hour pair programming with Steve Yegge! https://twitter.com/RealGeneKim/status/1860507119096869363 Description of what I did while walking dog: https://twitter.com/RealGeneKim/status/1853860996689064211  “From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code,” https://googleprojectzero.blogspot.com/2024/10/from-naptime-to-big-sleep.html?m=1 XTDB: https://docs.xtdb.com/quickstart/sql-overview.html

    1 小时 10 分钟
  6. Static vs Dynamic Typing: A Balanced Discussion on Modern Programming Practices - with Jake Howard

    2024/09/17

    Static vs Dynamic Typing: A Balanced Discussion on Modern Programming Practices - with Jake Howard

    Episode Notes In this episode, JUXT’s CEO Jon Pither, CTO Malcolm Sparks, and Head of Delivery Joe Littlejohn, are joined by guest Software Engineer Jake Howard to engage in a thoughtful discussion on the enduring static vs dynamic typing debate. While static typing has long been a staple in programming, the conversation leans toward the growing appeal of dynamic typing in modern software practices. The team explores how dynamic typing allows for quicker iteration, greater flexibility, and better adaptation to shifting project demands. They also take time to weigh the structure and reliability that static typing provides, making for a balanced look at both approaches.

    57 分钟
  7. Missing insights and the SRE big picture — with Niall Murphy

    2024/09/06

    Missing insights and the SRE big picture — with Niall Murphy

    Episode Notes Our guest is Niall Murphy, CEO of Stanza - a company founded by a group of experienced SREs with a vision to provide the tools, coding platform, culture and community to give any organization industry-leading reliability. Niall previously worked at Google where he co-authored the book "Site Reliability Engineering: How Google Runs Production Systems" (2016). In this podcast episode, we discussed Niall's extensive experience including his role within an important era for Google's infrastructure transformation beginning in the late 2000s, and the wider contemporary challenges in the SRE landscape. Niall's reflections on operating distributed systems has lead him to the conclusion that there is still a profound missing gap in SRE tooling between discovering 'signals' and taking 'actions'. The conversation begins by alluding to a couple of other recent podcasts we've recorded on distributed systems in 2024, one with Mark Burgess and the other with András Gerlits. Happy listening!

    1 小时 1 分钟
  8. Promise Theory with Mark Burgess

    2024/07/29

    Promise Theory with Mark Burgess

    Episode Notes In this podcast episode, JUXT CTO Malcolm Sparks, JUXT Head of Delivery Joe Littlejohn, and XTDB Head of Product Jeremy Taylor spoke with guest Mark Burgess, an independent researcher and writer. Formerly a professor at Oslo University College in Norway and the creator of the CFEngine software and company, Mark was invited to write the foreward (https://sre.google/sre-book/foreword/) to Google's 2016 book: "Site Reliability Engineering - How Google runs production systems". They discuss Mark's journey to developing Promise Theory and explored techniques to 'scale simplicity' in the creation of large, reliable systems. One common (yet false) assumption is that all components of a system can be trusted to be 100% reliable. This misconception can lead to costly workarounds in production. They touch on the 'congruence' debate, considering whether and to what extent we should be concerned with the inherent inefficiencies in 'the automated building of things from scratch.' They also discuss the counter-intuitive observation that digital systems are far more complex and less resilient than analog systems, and how this may be due to the absence of an error-correcting mechanism in digital systems to maintain equilibrium. Please let us know if you have any points to add or if you were inspired by any part of the discussion. Happy listening!

    1 小时 9 分钟
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Tech related discussions

信息

  • 创作者
    JUXT — A Grid Dynamics Company
  • 活跃年份
    2019年 - 2025年
  • 单集
    68
  • 分级
    儿童适宜
  • 版权
    © Copyright 2019
  • 节目网站
    JUXT Cast

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