Thoughtworks Technology Podcast

Thoughtworks
  • 4.5 (39)
  • 科技
  • 两周一更
Thoughtworks Technology Podcast

The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today’s tech megatrends will impact you.

  1. 11月14日

    Data contracts: What are they and why do they matter?

    Data contracts are a bit like APIs for data — they make it possible to interface with data in a way that ensures the transfer of data from one place to another is stable and reliable. This is particularly important for building more reliable data-driven applications. To discuss data contracts, host Lilly Ryan is joined on the Technology Podcast by Andrew Jones, the creator of the data contract concept (in 2021) and author of Driving Data Quality with Data Contracts (2023), and Thoughtworker Ryan Collingwood who is currently writing their own book on data contracts due to be published in 2025. Andrew and Ryan offer their perspectives on the topic, explaining the origins and motivation for the idea and outlining how they can be used in practice.  You can find Andrew’s book here: https://www.amazon.com/Driving-Data-Quality-Contracts-comprehensive/dp/1837635005

    38 分钟

  2. 10月31日

    In conversation with Thomas Squeo, Thoughtworks CTO for the Americas

    What does it mean to be a technology leader today? What kind of challenges must you address? What questions do you need to answer? To explore all that — and dive into what it looks like from a Thoughtworks perspective — host Ken Mugrage spoke to Thomas Squeo, the CTO for Thoughtworks in the Americas. They discuss everything from keeping track of emerging technologies and wider industry shifts, to product thinking, AI and career development. Listen to get to know a Thoughtworks leader and discover fresh perspectives on some of the big questions and debates all of us in tech keep finding ourselves returning to.    Find Thomas on X: @squeot LinkedIn: https://www.linkedin.com/in/thomassqueo/

    33 分钟

  3. 10月17日

    Themes from Technology Radar Vol.31

    Volume 31 of the Technology Radar will be released on October 23, 2024. As always, it will feature 100+ technologies and techniques that we've been using with clients around the world. Alongside them will be a set of key themes that emerged during the process of putting it together. We think they offer another way into the Radar and give a unique insight on some of the most interesting issues impacting the software industry. In this episode of the Technology Podcast we discuss them: coding assistance antipatterns, Rust being anything but rusty, the rise of WebAssembly and what we describe as the "cambrian explosion of generative AI tools." To do so, Alexey Boas is joined by guests and podcast regulars Ken Mugrage and Neal Ford. Ken and Neal provide an insight into the conversations that happened during the process, and offer their perspective on the implications of these themes for the wider tech industry.

    40 分钟

  4. 10月3日

    Build Your Own Radar: Using the Technology Radar as a governance tool

    The Thoughtworks Technology Radar is, first and foremost, a publication. It's a document that anyone in the tech industry can read twice a year to learn about our experiences and perspectives on technology. However, it's also more than that: it's built on top of a process of deliberation, discussion and curation. We think that's particularly important — it's something we encourage technology teams and organizations to do and which we support with our Build Your Own Radar tool.  On this episode of the Technology Podcast, Neal Ford and Ken Mugrage join Prem Chandrasekaran to discuss Build Your Own Radar. They outline why the Radar process is just as important as the artifact that gets created at the end, and explain how organizations can use it to facilitate conversations about how and what technology they use and want to use in the future.    Learn more about Build Your Own Radar: https://www.thoughtworks.com/radar/byor

    37 分钟

  5. 9月19日

    Exploring DuckDB: A relational database built for online analytical processing

    There are no shortage of options when it comes to relational databases. While the likes of PostgreSQL have proven enduring, even as the market has evolved, for data scientists and data engineers that need to manage and query particularly complex or large data sets, the most popular databases aren't always right for the job. Thankfully, this is where projects like DuckDB can help. Built for what's called 'vectorized query execution', it's well-suited to the demands of online analytical processing (OLAP). To get a deeper understanding of DuckDB and how the product has developed, on this episode of the Technology Podcast, hosts Ken Mugrage and Lilly Ryan are joined by Thoughtworker Ned Letcher and Thoughtworks alumnus Simon Aubury. Ned and Simon explain the thinking behind DuckDB, the design decisions made by the project and how its being used by data practitioners in the wild. Learn more about DuckDB: https://duckdb.org/why_duckdb.html Explore Ned and Simon's book Getting Started with DuckDB: https://www.amazon.com/Getting-Started-DuckDB-practical-efficiently/dp/1803241004

    35 分钟

  6. 9月5日

    Software service granularity: Getting it right

    It's widely accepted that, in most cases at least, software systems should be modular, consisting of separate, discrete services. But what about the size of those services? How big or small should they be? This is where the question of service granularity comes in: too small and your system will become needlessly complicated; too big and you lose all the benefits of modularity you were seeking in the first place. In this episode of the Thoughtworks Technology Podcast, host Ken Mugrage is joined by Neal Ford and Mark Richards — authors of multiple books on software architecture — to discuss service granularity. They explain why it matters and how software architects can go about getting it right, through the lens of granularity integrators and disintegrators.   Learn more about Neal and Mark's 2021 book Software Architecture: The Hard Parts (co-authored with Zhamak Dehghaniand Pramod Sadalage): https://www.thoughtworks.com/insights/books/software-architecture-hard-parts Find out more about Neal and Mark's second edition of The Fundamentals of Software Architecture, set to be released in early 2025: https://www.oreilly.com/library/view/fundamentals-of-software/9781098175504/

    44 分钟

  7. 8月22日

    Measuring developer experience

    Trying to measure developer effectiveness or productivity isn't a new problem. However, with the rise of fields like platform engineering and a new wave of potential opportunities from generative AI, the issue has come into greater focus in recent years.  In this episode of the Technology Podcast, hosts Scott Shaw and Prem Chandrasekaran speak to Abi Noda, CEO of software engineering intelligence platform DX, about measuring developer experience using the DevEx Framework — which Abi developed alongside Nicole Forsgren, Margaret-Anne Storey and Michaela Greiler. Taking in everything from the origins of the DevEx framework in SPACE metrics, to how technologists can better 'sell' the importance of developer experience to business stakeholders, listen for a fresh perspective on a topic that's likely to remain at the top of the industry's agenda for the forseeable future.   Read the DevEx Framework paper: https://queue.acm.org/detail.cfm?id=3595878 Read Abi's article (co-authored with Tim Cochran) on martinfowler.com: https://martinfowler.com/articles/measuring-developer-productivity-humans.html Listen to Abi's Engineering Enablement podcast: https://getdx.com/podcast/

    42 分钟

  8. 8月8日

    How can AI support designers?

    Artificial intelligence has been presented as a technology with the potential to transform many different fields and professions. One of the most notable is design — but if we want to design in a way that's truly human-centric and inclusive, to what extent can artificial intelligence really help us do better work? In this episode of the Technology Podcast, hosts Rebecca Parsons and Lilly Ryan speak to Thoughtworks design leaders Kate Linton and Esther Tham to get their perspective on how AI might be able to support designers. They discuss what AI tools could help the design process, how these tools could fit neatly into current practices and what the emergence of this technology could mean for design practices more broadly.

    42 分钟
查看全部 100 集

4.5
共 5 分
39 个评分

关于

The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today’s tech megatrends will impact you.

信息

更多来自“Thoughtworks”的内容

你可能还喜欢

若要收听包含儿童不宜内容的单集，请登录。

关注此节目的最新内容

登录或注册，以关注节目、存储单集，并获取最新更新。
选择国家或地区

非洲、中东和印度

亚太地区

欧洲

拉丁美洲和加勒比海地区

美国和加拿大