100 episodes

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.

Thoughtworks Technology Podcast Thoughtworks

    • Technology
    • 4.5 • 38 Ratings

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.

    Tracking technology stacks, practices and experiences across teams

    Tracking technology stacks, practices and experiences across teams

    Understanding your technology estate and how it's being leveraged is critical for organizations; it impacts everything from financial planning to capability development. But given the rapid pace of change — even inside a single company, let alone the wider industry — how can this be done effectively? One approach we've landed on at Thoughtworks is something called a Tech Dash: it's a method of internal research that surfaces information about an organization's technology use, and even software developers' experiences.
    In this episode of the Technology Podcast, Camilla Crispim and Renan Martins talk to hosts Alexey Boas and Ken Mugrage about the value of a Tech Dash and explain how it can help track technology use. They also discuss where the idea came from and how they put it into practice across Thoughtworks Brazil.

    • 36 min
    Inside Bahmni: An open-source digital public good

    Inside Bahmni: An open-source digital public good

    Bahmni started life as an open-source hospital information management system and electronic medical record for a single hospital in rural India. Today, it has more than 500 implementations in 50 countries across Africa and Asia, and is recognized as one of only 165 digital public goods by the Digital Public Goods Alliance. 
    Thoughtworks played a key part in bringing Bahmni into the world back in 2012. And although today it’s run and supported by a coalition of organizations, Thoughtworks continues to have a leading role in the project as a member of its Governing Committee.
    To tell Bahmni’s unique story, Rebecca Parsons and Ken Mugrage speak with Satish Viswanathan and Angshuman Sarkar, two Thoughtworkers actively participating and contributing to the project. They discuss Bahmni’s origins and how it grew from a small, local tool to become a vital component in healthcare infrastructure in parts of the world that have long faced resource challenges.
     
    Learn more about Bahmni: https://www.bahmni.org/
     

    • 52 min
    How to assess your organization's security maturity

    How to assess your organization's security maturity

    One of the fundamentals of security is self-awareness: knowing where you may be vulnerable, the practices and processes that aren't yet quite in place and what actions you need to prioritize are essential if your organization is to excel at security. But how can that be done? In complex and distributed teams, surfacing such knowledge can be incredibly difficult. One solution, though, is something called a security maturity model.
    In this episode of the Thoughtworks Technology Podcast, Thoughtworks alumnus Diana Adorno and current Thoughtworkers Lisa Junger and Robin Doherty speak to host Alexey Boas about a security maturity model they've developed that was recognized by the prestigious CSO50 Awards. They explain the purpose of developing and using one, how theirs works and why it should matter to any organization that wants to get serious about the way it does security.

    • 40 min
    Continuous delivery vs. continuous deployment: What should be the default?

    Continuous delivery vs. continuous deployment: What should be the default?

    Despite occasional confusion, the difference between continuous delivery and continuous deployment is simple: should deploying to production be on demand or every good build? Answering which approach is 'best' is difficult; any attempt at dogmatism is likely to just look foolish, given it is, like many other debates in software development, context-dependent. But that doesn't mean we shouldn't try and unpick the issues at the heart of the discussion. It's all well and good saying the debate is context-dependent, but what does that actually mean in practice?
    In this episode of the Technology Podcast, Ken Mugrage and Valentina Servile debate the merits of both continuous delivery and continuous deployment. Talking with hosts Prem Chandrasekaran and Birgitta Böckeler, they offer their perspectives on when and where both should be used — in making the case for their chosen approaches, they shed some much needed light on a discussion that every software engineering team should have.
     
    Learn more about Valentina Servile's book Continuous Deployment: https://www.thoughtworks.com/insights/books/continuous-deployment

    • 41 min
    Themes from Technology Radar Vol.30

    Themes from Technology Radar Vol.30

    Volume 30 of the Thoughtworks Technology Radar was published in April 2024. Alongside 105 blips, the edition also featured four themes selected by the team of technologists that puts the Radar together. They were: open-ish source licenses, AI-assisted software development teams, emerging architecture patterns for LLMs and dragging pull requests closer to continuous integration. Each one cuts across the technologies and techniques included on the Radar and highlights a key issue or challenge for software developers — and other technologists — working today.
    In this episode of the Technology Podcast, Birgitta Böckeler and Erik Dörnenberg join Neal Ford and Ken Mugrage to discuss the themes for Technology Radar Vol.30. They explain what they mean, why they were picked and what their implications are for the wider industry.
     
    Explore volume 30 of the Technology Radar: https://www.thoughtworks.com/radar

    • 44 min
    Building at the intersection of machine learning and software engineering

    Building at the intersection of machine learning and software engineering

    Bringing machine learning models into production is challenging. This is why, as demand for machine learning capabilities in products and services increases, new kinds of teams and new ways of working are emerging to bridge the gap between data science and software engineering. Effective Machine Learning Teams — written by Thoughtworkers David Tan, Ada Leung and Dave Colls — was created to help practitioners get to grips with these challenges and master everything needed to deliver exceptional machine learning-backed products.
    In this episode of the Technology Podcast, the authors join Scott Shaw and Ken Mugrage to discuss their book. They explain how it addresses current issues in the field, taking in everything from the technical challenges of testing and deployment to the cultural work of building teams that span different disciplines and areas of expertise.
     
    Learn more about Effective Machine Learning Teams: https://www.thoughtworks.com/insights/books/effective-machine-learning-teams
    Read a Q&A with the authors: https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/author-q-and-a-effective-machine-learning-teams
     

    • 48 min

Customer Reviews

4.5 out of 5
38 Ratings

38 Ratings

malfoxley ,

Great show!

The host highlights all aspects of tech and more in this can’t miss podcast! The host and expert guests offer insightful advice and information that is helpful to anyone that listens!

FindKuhl ,

Better Audio Please

Your podcasts are very infomative and the guests are very good. But the audio quality is poor and I doubt I will continue to listen because of it. There was a similar comment 3 years ago and it seems nothing has improved.

Prasannakakhandaki ,

audio quality

I love ThoughWorks podcasts, this is one of the best ways of learning technology and business directly from the industry experts. For some reason the audio recoding is not consistent or tuned for Podcasts. For example if you listed to Microservices as complex systems podcast - the guest speaker James Lewis. James' voice sounds like he is speaking in a conference room far away from microphone. The listener has to put a lot of effort to listed to these which is not desrirable. Can Thoughworks do some post-processing to enhance the listening experience before publishing the podcasts ?

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