How to assess your organization's security maturity
Thoughtworks Technology Podcast
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...
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Continuous delivery vs. continuous deployment: What should be the default?
Thoughtworks Technology Podcast
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...
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Themes from Technology Radar Vol.30
Thoughtworks Technology Podcast
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...
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Building at the intersection of machine learning and software engineering
Thoughtworks Technology Podcast
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...
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Refactoring with AI
Thoughtworks Technology Podcast
Can AI improve the quality of our code? A recent white paper published by code analysis company — "Refactoring vs. Refuctoring: Advancing the state of AI-automated code improvements" — highlighted some significant challenges: in tests, AI solutions only delivered functionally correct refactorings 37% of the time. However, there are nevertheless opportunities. The white paper suggests it might be possible to dramatically boost the success rate of AI refactoring to 90%. In this episode of the Technology Podcast, Adam Tornhill, CTO and Founder of CodeScene, joins Thoughtworks' Rebecca...
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How to measure your cloud carbon footprint
Thoughtworks Technology Podcast
If you've ever wondered how to measure your cloud carbon footprint, you can — thanks to a tool that's called, somewhat unsurprisingly, Cloud Carbon Footprint. Launched in March 2021 by Thoughtworks as an open-source project, it allows users to monitor and measure carbon emissions and energy use from cloud services. On this episode of the Technology Podcast, senior software engineers Cameron Casher and Arik Smith join Alexey Boas and Ken Mugrage to talk about Cloud Carbon Footprint in depth. They explain why CCF is different from the measurement tools offered by established cloud vendors, how...
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Technology through the Looking Glass: Preparing for 2024 and beyond
Thoughtworks Technology Podcast
Looking Glass isn't like most other technology trend reports. It doesn't just tell you what deserves your attention, it's designed to help you use it to focus on what really matters to you. Published once a year, Thoughtworks intends it to be a tool that helps readers make sense of the emerging technologies that are going to shape the industry in the months and years to come. In this episode of the Technology Podcast, lead Looking Glass contributors Rebecca Parsons and Ken Mugrage trade hosting duties for the guest seats, as they talk to Neal Ford about the most recent edition of the Looking...
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Diving head first into software architecture
Thoughtworks Technology Podcast
A few years ago, Thoughtworker and (prolific) author Neal Ford published Fundamentals of Software Architecture with Mark Richards. They're now back with another book on software architecture — written with co-author Raju Gandhi — which offers readers a very different learning experience. Described as a combination of technical book and graphic novel, Head First Software Architecture dispenses with dense prose to present and explain software architecture concepts and ideas in some highly innovative and novel ways. In this episode of the Technology Podcast, the authors — alongside their...
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Exploring the building blocks of distributed systems
Thoughtworks Technology Podcast
Distributed systems are ubiquitous yet complex. They can be particularly demanding for software developers and architects tasked with dealing with the sometimes unpredictable nature of the interactions between their various parts. That's why Thoughtworker Unmesh Joshi wrote Patterns of Distributed Systems. Published at the end of 2023, the book explores a number of patterns that characterize distributed systems, and uses them to not only help readers better understand how such systems work but also to solve problems and challenges that often arise. On this episode of the Technology Podcast,...
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Software-defined vehicles: The future of the automotive industry?
Thoughtworks Technology Podcast
A few decades ago, it would have probably seemed strange to put software and automobility together. However, today software is embedded in all kinds of modern vehicles, enabling capabilities in everything from driving to passenger entertainment. But what exactly does this all mean for the automotive industry? And what demands does it place on design and manufacturing processes? In this episode of the Technology Podcast, two Thoughtworks experts on software-defined vehicles — Michael Fait and Sriram J. — speak to Ashok Subramanian and Ken Mugrage about how the automotive industry has been...
info_outlineVolume 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