Thoughtworks Technology Podcast

Global craft marketplace Etsy has grown at an impressive rate in recent years. From 2019 to 2021 sales and revenue tripled. This growth has been enabled by a significant technology modernization project which, amazingly, was completed just weeks before the Coronavirus pandemic erupted in March 2020, the start of a period in which millions of people took to Etsy to purchase cloth face masks. Without the modernized systems and infrastructure, Etsy would have struggled to cope with consumer demand.

In this episode of the Technology Podcast, Mike Mason is joined by Etsy's Chief Architect Keyur Govande, the company's former CTO Mike Fisher and Thoughtworks North America Technical Director Tim Cochran to discuss how Etsy tackled the challenge of scaling to meet the needs of its expanding market. They talk through the technical challenges and the organizational focus required to scale in a way that was sustainable for the business yet impactful for Etsy's users.

Read Tim Cochran's article about evolving Etsy's culture on martinfowler.com: https://martinfowler.com/articles/bottlenecks-of-scaleups/etsy-product-delivery-culture.html

...And his piece on using the cloud to scale: https://martinfowler.com/articles/bottlenecks-of-scaleups/etsy-cloud-scale.html

Learn more about Thoughtworks partnership with Etsy: https://www.thoughtworks.com/clients/retail-ecommerce/etsy-scaling

When we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really small scale.

Thanks to TinyML, models can now be run on small devices at the edge of a network. This has significant implications for the future of many different fields, from automated vehicles to security and privacy.

In this episode of the Technology Podcast, hosts Scott Shaw and Rebecca Parsons are joined by Andy Nolan, Director of Emerging Technology at Thoughtworks Australia, and Matt Kelcey of Edge Impulse, to discuss what TinyML means for our understanding of machine learning as a discipline and how it could help drive innovation in the years to come.

We often describe our high-tech and digitally mediated world as "complex" but we rarely spend much time considering how that complexity can be cleverly deployed as a means of duping or manipulating us. However, trends like NFTs have brought this into clearer view. This is not to say it's a novel phenomenon — from dark patterns in UX design to pages and pages of end-user license agreements (EULAs), leveraging complexity for nefarious ends has long been an unsavory aspect of the technology industry.

In this episode of the Technology Podcast, Mike Mason and Neal Ford are joined by Thoughtworks designer Kate Linton and Thoughtworks North America Head of Legal Jeremy Gordon to discuss what they describe as "the weaponization of complexity." Together, they grapple with the cynicism at the center of such activities and discuss some of the ways we can tackle it.

The Thoughtworks Technology Radar is a snapshot of technologies and practices that the company believes the industry should be interested in, based on the actual experiences of Thoughtworkers working with clients. With its first edition launched in January 2010, it is now a fixture of the Thoughtworks calendar, released twice a year in the spring and fall.

Although it has been around for more than a decade, we're well aware that people have lots of questions about it. One comes up more than others: how do you actually put it together? Giving a good, short answer is difficult — for those involved, it's a long process involving various stages of writing, debate and deliberation.

However, with the next edition of the Radar — volume 28 — just weeks away, we wanted to give the world an insight into how we put Technology Radar together. In this episode of the Technology Podcast, Marisa Hoenig, Perla Villareal and Camilla Crispim join host Neal Ford to discuss the work that goes into producing it and what the experience is like.

Covid-19 unleashed a wave of medical and pharmaceutical research and innovation across the world. In India, the government launched the Drug Discovery Hackathon, an initiative designed to bring together expertise in fields ranging from biotechnology, pharmaceuticals, machine learning and virology to discover new drugs that could help thwart the pandemic.

One team that took part was from Thoughtworks India. In this episode of the Technology Podcast, two of the members — Pooja Arora and Justin Jose — talk to Rebecca Parsons and Ashok Subramanian about a number of projects they worked on during the hackathon. Among other things, they explain how they used reinforcement learning to improve the efficacy of potential drugs in tackling what was, at the time, a virus that was only partially understood.

Serverless received significant attention when it first emerged in the middle of the 2010s. And although it has now entered the mainstream and is today used in a diverse range of scenarios and architectures, it nevertheless remains a topic that causes considerable confusion and debate: where should we use it? How should we use it? Sometimes, what even is it, exactly?

In this episode of the Technology Podcast, Mike Mason and Prem Chandrasekaran are joined by former Thoughtworker Mike Roberts — author of "the canonical book on serverless," Programming AWS Lambda — to discuss the current state of serverless. They examine the ways that serverless is understood today and explore the impacts and challenges it has for both businesses and software developers.

• Read Mike Roberts' book Programming AWS Lambda: https://www.oreilly.com/library/view/programming-aws-lambda/9781492041047/
• Read Mike's long-read on serverless on martinfowler.com: https://martinfowler.com/articles/serverless.html

Thoughtworks CTO Rebecca Parsons has had a long and varied career in technology. Even before joining Thoughtworks in 1999, she completed a PhD, worked as a postdoc researcher at Los Alamos National Laboratory and taught at the University of Central Florida. Becoming CTO in 2007, she has seen Thoughtworks — and the wider tech industry — evolve through a period in which the business mainstream has become increasingly comfortable with cutting-edge innovation.

In this episode of the Technology Podcast, Neal Ford and Birgitta Böckeler talk to Rebecca about her career, starting from Caterpillar warehouses in Peoria, Illinois, to being awarded the Technical Leadership Abie Award by AnitaB.org. It's the latest episode in our ongoing mini-series of Thoughtworker Journeys, offering an insight into the diverse and sometimes surprising experiences of technologists at Thoughtworks.

Learn more about AnitaB.org: https://anitab.org/

Read the new edition of Rebecca's book, Building Evolutionary Architectures: https://www.thoughtworks.com/insights/books/building-evolutionaryarchitectures-second-edition

As an organization matures and grows, silos will inevitably emerge. That can pose problems, particularly in the relationship between product and engineering functions — friction can slow growth and make delivering at speed much more challenging than it was previously.

In this episode of the Technology Podcast, Thoughtworks CTO Rebecca Parsons is joined by colleagues Rick Kick (Head of Application and Platform Transformation in the Enterprise Modernization team for Thoughtworks North America) and Kennedy Collins (Head of Product and Design for the North America Central Market), alongside Anthony Maitz of Pariveda, to discuss how to manage the various frictions and tensions that can emerge as organizations scale. They cover a wide range of tactics and strategies to improve alignment between product and engineering, and offer an insight into what can actually be done to address a common scale-up growing pain.

Read Rick and Kennedy's article discussed in the episode: https://martinfowler.com/articles/bottlenecks-of-scaleups/03-product-v-engineering.html

It's often said that technology moves quickly, but the decisions we make about it can have long-term consequences. That's why identifying these trends — and understanding what they mean — matters. At Thoughtworks we do that with our Looking Glass report. Our most recent edition was published at the end of 2022; it provides a useful framework for thinking through the major shifts that look set to happen across the industry in 2023.

In this episode of the Technology Podcast, regular hosts Mike Mason and Ken Mugrage take the guest seats to talk to Neal Ford about the six key trends in the latest Looking Glass. They explain why they were chosen before diving deeper into a selection of some of the most hotly debated trends that feature in the report, such as metaverse and Web3.

• Explore the latest Looking Glass: https://www.thoughtworks.com/insights/looking-glass
• Read Mike Mason's metaverse article (co-written with Barton Friedland) https://www.thoughtworks.com/insights/articles/metaverse-practical-review

Despite the term being coined two decades ago by Eric Evans, domain-driven design has arguably become more relevant than ever in software engineering, thanks to the rise of cloud and highly complex distributed systems.

In this episode of the Technology Podcast, Alexey Boas and Ashok Subramanian are joined by Prem Chandrasekaran and Karthik Krishnan — authors of the new book Domain-Driven Design with Java — to discuss DDD and how it has developed over the last 20 years. They explore how DDD can help us respond to complexity and talk about the perspectives they put forward in their book.