Software Engineering Radio - The Podcast for Professional Software Developers

Scott Piper and Kim Carter discuss Cloud Security. The Shared Responsibility Model, assets, risks, and countermeasures, evaluation techniques for comparing the security stature of CSPs. Scott discusses his FLAWS CTF engine. Covering tools Security Monkey and StreamAlert.

Kishore Bhatia talks with Conor Delanbanque about DevOps Hiring, building and retaining top talent in the DevOps space. Topics include DevOps as a special Engineering skill, building DevOps mindset and culture, challenges in hiring and retaining top talent and building teams and best practices for DevOps engineers and employers hiring for these skills.

Edaena Salinas talks with Sachin Gadre about the internet of things. The discussion begins with an overview of what IoT is and how businesses are adopting it. It then explores the architecture of an IoT application and the security implications of these systems.

Armon Dadgar speaks to Matthew Farwell about Secrets Management.

Kirk Pepperdine talks with Diomidis Spinellis about performance optimization. Topics include development practices, tools, as well as the role of software architecture, programming languages, algorithms, and hardware advances.

Founder of Signal Sciences Zane Lackey talks with Kim Carter about Application Security around what our top threats are today, culture, threat modelling, and visibility, and how we can improve our security stature as Software Engineers.

Bryan Reinero talks with Gregor Hohpe about IT Transformation, the process by which organizations adapt and reorganize themselves in response to evolution and how the Enterprise Architect leads that transformation.

Bryan Reinero talks with Harsh Sinha, VP of Engineering at TransferWise, about Product Management. Mr. Sinha details how requirements are derived from user needs, how to measure product success, and how successful product management is done.

Ron Lichty talks with SE Radio's Nate Black about managing programmers. Topics include: why programming management is hard, what makes a good programming manager, the costs of micromanagement, self-organizing teams, team dynamics and motivation, and product team performance.

Edaena Salinas talks with Charlie Berger about Predictive Applications. The discussion begins with an overview of how to build a Predictive Application and the role of Machine Learning. It then explores different Machine Learning algorithms that can be implemented natively in a database.