
The InfoQ Podcast
The InfoQ Podcast is a weekly show that interviews top CTOs, engineers, and technology directors from companies like Uber and Netflix. It provides software engineers, architects, and team leads with inspiration and essential information to drive change and innovation in their teams. The podcast has over 1,200,000 downloads in the last 3 years.
Episodes

What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz
In this podcast, Michael Stiefel spoke to Joy Ebertz about how the use of artificial intelligence is changing the way architects and developers do their jobs. Focusing on the long term success of the business is one of the most neglected tasks of an architect. This task becomes particularly important as the nature of artificial intelligence changes the landscape of software development. Architects

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion explores how security engineering is shifting from relying on human vigilance toward automated, system-level defences across the entire application stack. As well as the importance of governance and supp

The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle
In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architecture skills are now critical because engineers need to understand how to build systems and handle the constraints and associated ambiguity in the requirements. At the same time, given the rapid change

The Future of AI: From Enterprise Adoption to Open Source Sovereignty
In this episode, a panel of AI experts, Meryem Arik (DoubleWord), Clara Higuera Cabañes (BBVA), and Jeff Smith (C Proof), demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerat

Securing AI Agents: Identity, Authorisation, and the DPACT Framework
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.
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How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman
In this podcast Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession. Under this model, the industry needs preceptors whose sole job is to train new engineers

Scott Jenson on Evolving Desktop OS, Local-First, & Agentic UX
In this episode, Scott Jenson, a veteran UX designer known for his work on the Macintosh, Google Maps, and Chrome examines the long-term stagnation of desktop operating systems and the limitations of current mobile and cloud-centric models. The conversation shifts toward specialised "Local-First" software, exploring how we can move beyond the "status quo" of interface design to create more intuiti

The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes
Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. The conversation continues where it left off in the previous episode and focuses on the experiments in adopting Claude Code and the reasons why they consider it good for everything else, but not coding.
Read a transcript of this interview: https://bit.

Will Agentic AI Bring Fantasia’s Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon
In this podcast, Michael Stiefel spoke to Tracy Bannon about the role of artificial intelligence in software and the attendant risks in the areas of security, software development, and society at large. While it might be reasonable to assume a certain amount of trust within a software ecosystem, the risks escalate when the boundary between two software ecosystems is crossed. Bannon emphasized that

Cloud and DevOps InfoQ Trends Report 2026: AI, Resilience, Platforms, FinOps, and Sovereignty
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report. These reports provide InfoQ readers with a high-level overview of key topics to watch and also help the editorial team focus on innovative technologies. In addition to the report and the trends graph available on

WebAssembly on the JVM: Feature Evolution, Performance, and the Transition to Endive
Andrea Peruffo discusses the evolution of WebAssembly beyond the browser and its growing role on the server-side JVM. He covers performance advancements in Wasm runtimes, moving from interpreters to efficient JIT compilation, and explores real-world production use cases ranging from edge computing platforms to modular plugin architectures. Peruffo also announces the transition of the Chicory runti

Rethinking Data: Moving From the Traditional Three-Tier Web Stack to Client-Side Event Sourcing
Johannes Schickling explores how he moved beyond the traditional three-tier web stack to a local-first approach. He shares his experience transitioning from Prisma to developing Overtone—a music curation app leveraging client-side event sourcing and SQLite. The discussion highlights the trade-offs between event sourcing and CRDTs, providing actionable insights for architects weighing the complexit

Strands Agents with Clare Liguori
In this episode, Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clare shares some lessons learned from building agents at scale, shifting to a model-driven architecture, and what comes next as the LLMs that underpin agents continue

Governance in the Age of AI: A Conversation with Sarah Wells
In this podcast Michael Stiefel spoke to Sarah Wells about the relationship of governance to software architecture. Governance enables teams to work effectively by establishing procedures that minimize system complexity, improve security, and reduce repetitive tasks. Targeted checklists help engineers by reducing the stress over these procedures. This is especially critical in high pressure situat

Spite-Driven Engineering: A New Blueprint for Cloud Security in the AI Native Era
In this episode, Alex Zenla (CTO/Co-founder, Edera) challenges the "laissez-faire" attitude toward modern infrastructure. She promotes "spite-driven development", building software to solve genuine technical pain points rather than passively accepting flawed abstractions, as a philosophy of improving the world of software. The discussion touches on the fragility of the current cloud-native stack,

Architectural Patterns: Moving Beyond Cloud-Native to Local-First - Insights from Adam Wiggins
In this episode, Heroku co-founder and Ink & Switch founder Adam Wiggins argues for a 'local-first' architecture that reconciles cloud-based collaboration with the performance and data ownership of local software. He explores the role of CRDTs and version control primitives in non-code domains, and examines how a hybrid AI future might leverage local models for core productivity tasks, challenging

How eBPF Empowers Developers to Observe Inside the Linux Kernel in a Safe and Unintrusive Way
Daniel Finneran explores how eBPF has evolved far beyond its roots in packet filtering into a robust, safe way to extend the Linux kernel. He explains how the eBPF "verifier", the security guardrail, enables implementation of deep observability and networking without the risks of traditional kernel modules or the slow upstreaming process. He touches on tools like Tetragon that leverage eBPF for "f

Increasing Users’ Data Agency: From BlueSky's AT Protocol to the Local-First Software Movement
Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks. Kleppmann underlines the importance of moving from cloud-centric data storage systems to decentralised data storage similar to Bluesky’s AT protocol. He also di

From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year
Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.
Read a transcript of this interview: https://bit.ly/4o62JHU
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Requirements Analysis for Architects: A Conversation with Sonya Natanzon
In this podcast Michael Stiefel spoke to Sonya Natanzon about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution

Chasing Efficient Java Development: From 1BRC to Developing Hardwood AI Natively
Gunnar Morling, technologist at Confluent and Java Champion, shares his experiences with building high-performance applications in Java, especially in the data space. He shares insights from experiments with building durable execution engines, bootstrapping, and AI natively developing Apache Hardwood - a minimal dependencies Java parser for Apache Parquet.
Read a transcript of this interview: htt

Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky
In this podcast Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. Large Language Models can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disp

From Java EE to Quarkus and LLMs: Adam Bien’s Playbook for Boring, Future‑Proof Systems
Adam Bien, an independent consultant and pioneer of zero dependencies in the enterprise world of Java, highlights the benefits of consistently using standards, regardless of whether they involve Java or existing patterns. He argues that by doing so, he managed to future-proof the systems he built, preparing them for the cloud era and even for the AI-Native era.
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Roq: Leveraging Quarkus to Build Static Sites at the Speed of Go
Andy Damevin, a developer who worked on Quarkus for almost a decade, talks about Roq. A project that started as an experiment to try to see if it’s possible to build a static web site generator on top of quarkus. He touches on the rationale for choosing Java and Quarkus, how to migrate to Roq, and the platform's future.
Read a transcript of this interview: https://bit.ly/48Q5SoJ
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A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel
In this podcast, Jaromir Hamala, a seasoned Java engineer specialising in high-throughput data systems, shares his thoughts on how developers can tackle high-performance software development. He touches on the benefits of modern Java that allow writing idiomatic Java code while remaining "mechanically sympathetic", and also on his experience debugging a Linux kernel bug.
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Engineering Stable, Secure and Scalable Platforms: A Conversation with Matthew Liste
In this podcast Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable, secure, and scalable. Scaling these systems is particularly difficult because unknown resource contention often causes them to break. Using customer journeys, one can pinpoint the places where the system is

How SBOMs and Engineering Discipline Can Help You Avoid Trivy’s Compromise
Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry. Beyond mere compliance, Peterson argues that SBOMs provide significant operational value as tools for automated security audits and license mana

Context Engineering with Adi Polak
In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.
Read a transcript of this interview: https://bit.ly/4168Wcj
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Failure As a Means to Build Resilient Software Systems: A Conversation with Lorin Hochstein
In this podcast Michael Stiefel spoke to Lorin Hochstein about how real-world failures provide insight into how software systems actually work. Our first topic was understanding that while automated fault injection tools can introduce basic robustness into a system, they cannot replicate the understanding that comes from mitigating complicated software failures in the real world. We then pondered

Agentic Systems Without Chaos: Early Operating Models for Autonomous Agents
Are you ready for your new non-deterministic co-workers?
Autonomous agents promise to help build, operate, and run software systems, but they can also be unpredictable, chaotic, and difficult to control without the right operating model. In this episode of Next Generation Architecture Playbook, Shweta Vohra and Joseph Stein explore what changes when software systems start planning, acting, and mak

Andres Almiray on How to Release Any Software to Any OS with JReleaser
Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.
Read a transcript of this interview: https://bit.ly/4sGNOFg
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Mindful Leadership in the Age of AI
In this episode, Thomas Betts and Sam McAfee discuss how AI hype is reshaping organizational behavior, why many companies struggle with experimentation, and how unclear decision structures create friction. They explore psychological safety and mindful leadership as essential foundations for healthier, more effective engineering cultures.
Read a transcript of this interview: https://bit.ly/4l6G7FN

AI Autonomy Is Redefining Architecture: Boundaries Now Matter Most
This conversation explores why generative AI is not just another automation layer but a shift into autonomy. The key idea is that we cannot retrofit AI into old procedural workflows and expect it to behave. Once autonomy is introduced, systems will drift, show emergent behaviour, and act in ways we did not explicitly script. The real architectural shift is not about controlling every step, but abo

Frictionless DevEx with Nicole Forsgren
In this episode, Thomas Betts talks with Dr. Nicole Forsgren, the author of Accelerate and one of the most prominent and important minds in DevOps and developer productivity. The conversation is about identifying and removing developer friction, the subject of her new book, Frictionless.
Read a transcript of this interview: https://bit.ly/40vbpMN
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Software Evolution with Microservices and LLMs: A Conversation with Chris Richardson
In this podcast, Michael Stiefel spoke with Chris Richardson about using microservices to modernize software applications and the use of artificial intelligence in software architecture. We first discussed the problems of monolithic enterprise software and how to use microservices to evolve them to enable fast flow - the ability to achieve rapid software delivery. The discussion also focused on so

Building Resilient Event-Driven Microservices in Financial Systems with Muzeeb Mohammad
In this episode, Thomas Betts chats with Muzeeb Mohammad about building event-driven microservices for financial systems. The discussion covers some of the core principles and patterns for event-driven architectures, reasons for using these patterns, and some of the challenges related to finance and other highly-regulated industries.
Read a transcript of this interview: https://bit.ly/3LZAgoI
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The Craft of Software Architecture in the Age of AI Tools
AI coding assistants promise speed, but what do they mean for quality, trust, and the architect’s craft? In this inaugural episode of Next Gen Architecture Playbook, Shweta Vohra and Grady Booch explore a principled view of how architecture must evolve when machines begin writing code alongside humans. They unpack the third golden age of software engineering, where productivity gains are real, whe

Improving Valkey with Madelyn Olson
In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.
Read a transcript of this interview: https://bit.ly/4qhsIM6
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Developers Can Improve the ESG Aspects of Software By Tackling Early Ethical Debt
Erica Pisani, host of the performance and sustainability track at QCon London 2025, retrospects on the lessons learned from assembling the track and the lessons learned from attending the talks. She touches on the importance of the environmental-social aspects of software and hints on how developers can improve these aspects with small steps in the architecture and practices of building software.

Startup Software Architecture - You Never Really Throw It Away: A Conversation with David Gudeman
In this podcast Michael Stiefel spoke with David Gudeman about software architecture for startups. The discussion starts by illuminating how to make decisions with imperfect information, and how uncertainty and ambiguity flow through all aspects of developing the architecture. This leads to analyzing how the architect must focus on both product strategy and technical decisions, and how there must

AI-Driven Development with Olivia McVicker
In this episode, Thomas Betts chats with Olivia McVicker, a Senior Cloud Advocate at Microsoft about AI-driven software development. The conversation covers the current, mainstream AI coding assistants and gets into where those tools are quickly heading. They then look to the future of how the entire software development lifecycle will see the benefits of AI in the next few years.
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Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and CRDTs
In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.
Read a transcript of this interview: https://bit.ly/3Lrq9Zf
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2025 Key Trends: AI Workflows, Architectural Complexity, Sociotechnical Systems & Platform Products
In this end-of-year panel, the InfoQ podcast hosts reflect on AI’s impact on software delivery, the growing importance of sociotechnical systems, evolving cloud realities, and what 2026 may bring.
Read a transcript of this interview: https://bit.ly/3Lk6SsF
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The Latest in OpenJDK and JCP Expert Group: Insights with Simon Ritter
In this episode, Simon Ritter, Deputy CTO at Azul, sat down with podcast host Michael Redlich, Lead Editor of the Java topic at InfoQ, and discussed the latest features in OpenJDK and Simon’s experiences serving on the JCP Expert Group since JDK 9. OpenJDK topics included: the six-month release cycle, Generational Shenandoah, JDK Flight Recorder, Project Leyden and Compact Object Headers.
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Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework
Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line.
Read a transcript of this interview: https://bit.ly/4j1MtFq
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Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil.
Read a transcript of this interview: https://bit.ly/4prPukO
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Bridging the Open Source Gap: From Funding Paradoxes to Digital Sovereignty
Gabriele Columbro, managing director of the Linux Foundation Europe, discusses the differences in the open-source landscape between Europe, China and the US. Stressing that the open-source landscape is the last favorable ground for global innovation in the current geo-political landscape.
Read a transcript of this interview: https://bit.ly/4rFIhPu
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GenAI Security: Defending Against Deepfakes and Automated Social Engineering
In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime. Shuman argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavi

Looking for Root Causes is a False Path: A Conversation with David Blank-Edelman
In this podcast Michael Stiefel spoke with David Blank-Edelman about the relationship between software architecture and site reliability engineering. Site reliability engineering can give architecture vital feedback about how the system actually behaves in production. Architects and designers can then learn from their failures to improve their ability to build systems that can evolve, gracefully d

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework
Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.
Read a transcript of this interview: https://bit.ly/4o08NjD
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Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System
Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.
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Architecture Should Model the World as It Really Is: A Conversation with Randy Shoup
In this podcast, Michael Stiefel spoke with Randy Shoup about how to evolve your software after a software failure, and how to improve the resilience of your software by modeling transient states using events and workflows.
Software failure is inevitable, but learning from failure, including making the necessary changes to organizational culture can make your software more resilient. One of the m

If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Magdalena Picariello reframes how we think about AI, moving the conversation from algorithms and metrics to business impact and outcomes. She champions evaluation systems that don't just measure accuracy but also demonstrate real-world business value, and advocates for iterative development with continuous feedback to build optimal applications.
Read a transcript of this interview: http://bit.ly/

Effective Error Handling: A Uniform Strategy for Heterogeneous Distributed Systems
Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights on how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, regardless of the underlying communication protocol.
Read a transcript of this interview: http://bit.ly/3JpmIBn
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Cloud and DevOps InfoQ Trends Report 2025
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report creation process. These reports provide InfoQ readers with a high-level overview of key topics to watch and also help the editorial team focus on innovative technologies. In addition to the report and the trends gr

Mental Models in Architecture & Societal Views of Technology: A Conversation with Nimisha Asthagiri
In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can ever have a healthy relationship with artificial intelligence.
System thinking emphasizes the importance of mental models, and how they relate to business requir

Elena Samuylova on Large Language Model (LLM) Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM) based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies.
Read a transcript of this interview: https://bit.ly/4mHAKvN
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The Hidden Vulnerability of The Open Source Software Supply Chain: The Underlying Infrastructure
Software supply chain veteran Brian Fox unpacks the security implications of the new EU Cyber Resilience Act and its profound impact on open-source projects. He reveals the hidden infrastructure risks threatening open-source projects and shares insights for senior software leaders navigating this regulatory landscape.
Read a transcript of this interview: http://bit.ly/46nxjUM
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AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering.
One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention

Scaling Systems, Companies, and Careers with Suhail Patel
In this episode, Suhail Patel joins Thomas Betts for a discussion about growing yourself as your company grows. When he started at Monzo, Patel was one of four engineers on the then new platform team–there are now over 100 people. The conversation covers how to thrive when the company and the systems you’re building are going through major growth.
Read a transcript of this interview: http://bit.l

Safely Changing Software to Avoid Incidents: A Conversation with Justin Sheehy
In this podcast, Michael Stiefel spoke with Justin Sheehy about how to safely put software into production without creating production incidents. Among the topics discussed were the futility of root cause analysis, and the importance of having a shared language for discussing incidents. This discussion included the need for software to be malleable as well as observable, and noted the fact that th

Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak
Marcin Grzejszczak, a veteran of observability spaces, discusses the current state of the space, including its evolution and the fine-grained details of how to instrument your system to capture all relevant information at every level - both inside services and between services communication.
Read a transcript of this interview: http://bit.ly/4mDTkFW
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Why Rust Will Help You Deliver Better Low-latency Systems and Happier Developers
Andrew Lamb, a veteran of database engine development, shares his thoughts on why Rust is the right tool for developing low-latency systems, not only from the perspective of the code’s performance, but also looking at productivity and developer joy. He discusses the overall experience of adopting Rust after a decade of programming in C/C++.
Read a transcript of this interview: http://bit.ly/45qi4

Is WebAssembly the Secure, Efficient Alternative Everybody was Waiting for?
Laurent Doguin and Geoffroy Couprie discuss their pioneering work with Wasm on the infrastructure side. They walk us through the benefits and challenges of building a platform over WebAssembly and why it’s the safer alternative to containers.
Read a transcript of this interview: http://bit.ly/3HheBWx
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Continuous Deployment and Pair Programming for Lean Software Delivery Even Without Jira
Asgaut Mjølne Söderbom and Ola Hast, two developers with Sparebank1 speak about their journey towards continuous deployment and pair programming. During the conversation, they share how they use the "waste clock" to identify areas of improvement or how TDD helps them deliver high-quality code.
Read a transcript of this interview: https://bit.ly/4lNvYgI
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Sovereign Clouds, Hyperscalers and European Alternatives: InfoQ Dev Summit Munich 2025 Preview
In this podcast episode, speakers from the upcoming InfoQ Dev Summit Munich 2025 tackle the practical challenges facing European developers caught between regulatory pressures and technological realities. The panel discusses trade-offs between using US cloud providers versus emerging European alternatives, exploring cloud-agnostic architecture strategies, the implications of data sovereignty, and

The Financial Architecture of Software with Ian Miell
In this episode, Thomas Betts speaks with Ian Miell about how the financial aspects of a business affect how software is designed and built. If Conway’s Law says organizational structures determine the software design, then following the money helps us understand why those organization structures exist, and ultimately whether software will be successful in achieving its goals.
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Microfrontends: Heuristics, Patterns and Antipatterns by Luca Mezzalira
Luca Mezzalira, a pioneer and enthusiast of microfrontends, discusses the microfrontends' evolution over the past years, underlying a set of heuristics that will allow you to gradually implement them in your product. He also touches on approaches to obtain quick feedback, both in your inner and outer development loops.
Read a transcript of this interview: http://bit.ly/4lKImO8
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Understanding Event-Driven Architecture in a Multicloud Environment
Teena Idnani, senior solutions architect at Microsoft, shares her experience on how and when to use event-driven architectures to improve the experience of your customers. She touches on when to use and not use this approach, as well as how to design your system, implement observability, and when to consider using more than one cloud vendor.
Read a transcript of this interview: https://bit.ly/4n1

The Java Ecosystem Remains Ever-Green By Continuously Adapting to Developers' Needs
Kevin Dubois and Thomas Vitale, two cloud-native enthusiasts in the Java ecosystem, discuss the evolution of frameworks and tooling that has led to increased development and developer joy. They cover everything from Testcontainers to incorporating LLMs in existing applications, as well as how to ensure the code quality remains high, even with the proliferation of code generation tooling.
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Mandy Gu on Generative AI (GenAI) Implementation, User Profiles and Adoption of LLMs
In this podcast, Mandy Gu from WealthSimple discusses how to establish AI programs in organizations and implement Generative AI (GenAI) initiatives, and the relationship between user profiles and adoption of LLMs.
Read a transcript of this interview: https://bit.ly/3ZJLtxa
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Achieving Seamless Integration Through User Co-Design
Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO’s Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping.
Read a transcript of this interview: https://bit.ly/3HzOgTr
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Building the Middle Tier and Doing Software Migrations: A Conversation with Rashmi Venugopal
In this podcast, Michael Stiefel spoke with Rashmi Venugopal about two topics. The first is how the middle-tier creates the application from the raw materials in the back-end, and how the front-end uses the middle-tier to present a meaningful workflow to the user. The second is how to manage the usually inevitable software migration that results from a successful software product.
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Do microservices' benefits supersede their caveats? A conversation with Sam Newman
Sam Newman, one of the pioneers of microservices, encourages architects to use distributed systems as a last resort architecture. He stresses the importance of focusing on the desired outcome and starting with monoliths, gradually evolving the architecture. By thinking holistically at the system level, including observability, ephemeral environments, and testing, it will enable your team to remain

Nikolaos Vasiloglou on Knowledge Graphs and Graph RAG
In this podcast, Nikolaos Vasiloglou from @RelationalAI team discusses how knowledge graph based applications are leveraging Generative AI technologies and how Graph RAG techniques can be used to enhance data analytics and insights.
Read a transcript of this interview: https://bit.ly/43IYWGN
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Designing for Knowledge Flow with Diana Montalion
In this episode, Thomas Betts speaks with Diana Montalion about how architecture is designing for knowledge flow. The conversation covers the differences between knowledge stock and knowledge flow and the importance of a growth mindset. If you’re trying to find new ways to solve problems, you have to start by thinking in new ways.
Read a transcript of this interview: https://bit.ly/3Si1LsX
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Kubernetes Edge Resiliency: Recovering from Ransomware Attacks in Minutes
Julia Furst Morgado, global technologist at Veeam, discusses Kubernetes edge resilience after a ransomware attack. The mentioned challenges include resource limits, network issues, and security risks. A swift recovery underscored the need for specific backup approaches, write-protected storage, and automated, tested recovery for edge environments to limit disruptions.
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How developer platforms, Wasm and sovereign cloud can help build a more effective organisation
Max Körbächer, Managing Partner at Liquid Reply, discusses the coming of age of the Kubernetes ecosystem and how and when an organisation should use it to build its platform. Also, he touches on how to measure its success and how WebAssembly and Kubernetes can play together to obtain the most effective usage of your infrastructure.
Read a transcript of this interview: https://bit.ly/3RK7DuP
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How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking
In a conversation with Jade Abbott, CTO and co-founder of Lelapa AI, we discussed how the basic infrastructure scarcities found on the African continent can ignite innovation and help push forward the AI space. Particularly when dealing with never-written languages, you need to be innovative to generate proper data and divide the problem into minor problems that can be solved with fewer intensive

How To Improve the Quality of the Gen AI-Generated Code And Your Team’s Dynamics
Birgitta Böckeler, Thoughtworks’ subject matter expert on Generative AI coding assistants, discusses how to enhance generated code by incorporating additional information into its context, and how your team’s dynamics will evolve with the adoption of these tools.
Read a transcript of this interview: https://bit.ly/430u1Gz
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