Architecture Sensitivity Points; Interactions with AI Assistance
In this episode of the CaSE Podcast, Sven Johann, Alex Heusingfeld, and Heinrich Hartmann dive into the concept of sensitivity points in software architecture, using the recent Volkswagen data leak as a striking example. They explore how seemingly minor architectural decisions and code changes can carry massive implications when balancing trade-offs like data privacy versus functionality.
The trio also discusses the growing impact of AI-assisted development, reflecting on practical experiences with tools like ChatGPT, Cursor, and GitHub Copilot.
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1:29:53
Ole Lensmar - From Swagger to TestCube: Evolving Testing Practices in the Kubernetes Era
How do you ensure the reliability of your cloud-native applications in an ever-evolving landscape? In this episode of CaSE, we dive deep into the intricate world of cloud-native testing with Ole Lensmar, the mind behind SoapUI, serial entrepreneur and Founder of TestKube. Join us as we explore the challenges of testing in Kubernetes environments, the balance between automation and manual testing, and the evolving role of AI in shaping our testing strategies.
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1:34:35
Theo Schlossnagle on Meat, Machines, and Mastery in Software Engineering
Theo Schlossnagle is a world-class software engineer, serial entrepreneur and owner of a butcher shop. In the podcast he unpacks the mindset, practices, and strategies that have shaped his approach to software development. From the power of curiosity to the challenges of debugging distributed systems, we explore what it takes to build resilient, maintainable software in an ever-evolving landscape.
Along the way, we dive into automation of butchery equipment, the pitfalls of legacy systems, and the delicate balance between abstraction and simplicity. Whether you're scaling architectures, optimizing code, or integrating outdated APIs, this conversation is packed with insights to sharpen your engineering craft.
Tune in to explore what makes great software—and great engineers—stand out.
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1:50:42
New Hosts and Formats, Observability Costs and Training
The CaSE Podcast returns with new hosts and a renewed focus on software architecture, reliability engineering, and data engineering. In this episode we start with discussing the cost of observability, sparked by Coinbase’s leaked $65 million Datadog bill, raising questions about how much organizations should spend on monitoring. We also discuss the most important content of observability training for software architects. We close with Alex’ current thoughts on home automation while renovating his house.
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1:21:42
Aino Corry on Better Tech Meetings
Aino explains to Sven what skills are required to make meetings more successful. They talk about
the different roles of meeting attendees. They continue with the thinking process to organize a
meeting: do we need it at all? What is the expected outcome? Who should be invited? How long
it should take? Do we need preparation for the attendees? Icebreakers? How do we craft an
agenda? Then they discuss how to steer a meeting as a meeting facilitator, how to engage
(quite) attendees and how to deal with negative people. Finally, they close with methods on how
to improve your moderator skills.
À propos de CaSE: Conversations about Software Engineering
Conversations about Software Engineering (CaSE) is a podcast for software engineers about technology, software engineering, software architecture, reliability engineering, and data engineering. The three of us regularly come together to discuss recent events or articles, exchange on our learnings, and reflect on our professional and personal experiences. Additionally our guest episodes feature engaging conversations with interesting people from the world of software engineering.
France