Software Engineering Radio - the podcast for professional software developers

Kishore Bhatia discusses with Nate Taggart about Serverless. Topics include: understanding the motivations for this computing model, deep dive learning about Serverless architecture, development frameworks and tools. Learn from Nate's experience with Serverless paradigm developing Operations tools at Stackery and find out various approaches, challenges and best practices for architecting and building Serverless applications.

Edaena Salinas talks with Nicole Hubbard at KubeCon 2017. They discuss why WP engine is migrating from VMs to Kubernetes and how the migration is structured. Nicole explained the VM infrastructure at WP Engine and why there was a need to move...

Felienne interviews Veronika Cheplygina about image recognition. We cover the basic concepts of computer vision, it’s applications and relationship to machine learning.

Kishore Bhatia talks with Travis Kimmel about Engineering Impact: In the age of data-driven decision making, how does one go about measuring, communicating, and improving engineering productivity? We'll learn from Travis' experience building data analytics tools in this space, with insights and best practices for engineering teams and business stakeholders for measuring value and productivity.

Nate Black talks with Nicolai Parlog about Java 9. Topics include: a timeline of Java features; new patterns enabled by Java 8 lambdas, default interface implementations and how they enable code evolution; how Java 9 takes this further with private default methods; an introduction to Java modules: the Java Platform Module System (JPMS); "launch time" dependency validation; module "requires" and "exports": documentation as code and a new topic for code reviews; how to migrate an existing codebase to Java 9 and modules; benefits of Java modules: reliable configuration and a smaller Java runtime; the new Java release schedule.

Felienne interviews Jeroen Janssens about data science, examining the basic concepts, as well as the skills and tools needed to be(come) a data scientist.

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, the CTO of HashiCorp and a specialist in distributed systems and DevOps tooling, dives deep into the world of secrets management. He explains the critical importance of safeguarding sensitive information like usernames and API tokens. The discussion covers static vs. dynamic secrets, the challenges of secret sprawl, and the necessity for unique credentials. They also tackle the balance between security practices and practical implementation, emphasizing the evolving risks in cloud environments and the essential strategies for effective credential management.