Show host Edaena Salinas talks with Katie Malone about Machine Learning.  Katie Malone is a Data Scientist in the Research and Development department at Civis Analytics. She is also an instructor of the Intro to Machine Learning online course from Udacity and host of Linear Digressions, a podcast about machine learning. Topics include: machine learning, data science, a career in machine learning.

Neal Ford chats with Kim Carter about the required skills of a Software Architect, creating and maintain them, transition roles. The importance of history, developing soft skills, and dealing with losing technical skills.

Francois Raynaud and Kim Carter cover moving to DevSecOps from traditional delivery approaches. Shifting security focus up front. Building a development team with not only development specialties, but also security and operations.

James Turnbull joins Robert Blumen for a discussion of Terraform, an infrastructure-as-code tool, and a deep dive into how Terraform implements the declarative programming model.

Docker Security Team lead Diogo Mónica talks with SE Radio’s Kim Carter about Docker Security aspects. Simple Application Security, which hasn’t changed much over the past 15 years, is still considered the most effective way to improve security around Docker containers and infrastructure. The discussion explores characteristics such as Immutability, the copy-on-write filesystem, as well as orchestration principles that are baked into Docker Swarm, such as mutual TLS/PKI by default, secrets distribution, least privilege, content scanning, image signatures, and secure/trusted build pipelines. Diogo also shares his thoughts around the attack surface of the Linux kernel; networking, USB, and driver APIs; and the fact that application security remains more important to focus our attention on and get right.

Morgan Wilde talks with SE Radio’s Jeff Meyerson about the LLVM compiler toolchain. They begin with a discussion of how a compiler works and how compiled code executes against different processor architectures. Using the JVM as a model for interoperability, they move on to how LLVM is a system that optimizes an intermediate representation (IR), which is similar to the Java bytecode: every programming language that compiles down to IR can leverage the same optimizations of that IR. The conversation concludes with a discussion of applications of LLVM and the future of the ecosystem.

Phillipp Krenn talks with SE Radio’s Jeff Meyerson about Elasticsearch, a scalable search index. The conversation begins with a discussion of search, how it compares to database queries, and what an inverted index is. Phillipp introduces Wikipedia as an example that runs throughout the episode because Wikipedia uses Elasticsearch to power its full-text search. A discussion of Elasticsearch’s scalability ensues, including basic terminology and an explanation of other applications of Elasticsearch.

Yakov Fain talks with SE Radio’s Matthew Farwell about the Angular web development framework. The show covers the philosophy behind Angular; who would want to use the framework; how an Angular application is composed, including how to handle form submission and validation; why Typescript was chosen for Angular; how Angular uses reactive programming (RxJS, in particular); how to test an Angular application; security concerns of web applications; who developed Angular and how it is supported, and performance considerations of an Angular application.

Asaf Yigal talks with SE Radio’s Edaena Salinas about machine learning in log analysis. The discussion starts with an overview of the structure of logs and what information they can contain. Asaf discusses what the log analysis process looks like without machine learning -- and the role of humans in this – before moving on to how the process is improved by incorporating external resources using machine learning. Topics include: log analysis, machine learning, operations.

Felienne talks with Michael Feathers about Legacy Code. When is something legacy? Is working on legacy different from working on greenfield code? Do developers need different skills and techniques? Testing legacy code. How to test a legacy system? When do we have enough tests to feel safe to start coding? Techniques to make legacy systems more testable.

Edwin Brady speaks to Matthew Farwell about Type Driven Development and the Idris Programming language. The show covers: what a type is; static vs dynamic types in programming languages; dependent types; the Idris programming language; why Idris was created. Type safe printf modelling state in Idris modelling protocols in Idris modelling concurrency in Idris type driven development and how it changes the development process.

Kishore Bhatia talks with Kieren James-Lubin about Blockchains. Topics include Blockchains, Cryptocurrency, Bitcoin, Ethereum, Smart Contract development with Solidity, ICO’s and Tokens.

Felienne talks with Moshe Vardi about P versus NP. Why is this problem so central to computer science? Are we close to solving it?  Is it necessary to solve it? Progress toward computing hard problems efficiently with SAT solvers.  How SAT solvers work,; applications of SAT like formal verification.

Robert Blumen talks to Edson Tirelli about business rules, rules engines, and the JBoss Drools engine.

Nate Black talks with Jonathan Stark about platforms for mobile development, making decisions about how to develop mobile apps, how to deploy mobile apps, native apps vs. progressive web apps, React Native, and the future of mobile applications.

Bryan Reinero talks with Jason Hand about handling outages and responding to failures. The episode explores basic problem-solving strategies and diagnostic techniques, organizing teams to address incidents efficiently, communicating with stakeholders, learning from incidents, and managing stress.

1. Founder of Thinkst, Haroon Meer talks with Kim Carter about Network Security. Topics include how attackers are gaining footholds into our networks, moving laterally, and exfilling our precious data, as well as why we care and what software engineers can do about it.

Felienne interviews Zachary Burt about freelancing as a career option. How does freelancing differ from employment? How to do personal marketing and sales? How to find a work-life balance when you are self-employed? We also cover practical tips like deciding on an hourly rate and managing demanding customers.

Felienne talks with Evgeny Shadchnev about Code Schools, programs that prepare people to become a software developer in a few months. This episode explores the idea of code schools. Can we really teach programming in a few months rather than in a few years in university? Who teaches at those programs? Who attends them? What are their business models and should we teach programming online or offline?

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.

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.

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.

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.

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.

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.

Armon Dadgar speaks to Matthew Farwell about Secrets Management.

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.

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.

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.

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.

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.

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.

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

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...

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.

Péter Budai and Kim Carter discuss End to End Encryption (E2EE), backdoors, the scenarios where E2EE can be and should be used. IM, VoIP, Email scenarios, interservice communication scenarios such as securing data in use.

Bill Venners speaks to Matthew Farwell about Property Based Tests, how they can be used, when they should not be used. We also cover how to define a property, how to generate the data required for a property based test.

Lin Clark speaks to Matthew Farwell on WebAssembly

What is code coverage, how can you measure it, and what are the pitfalls of this metric? Diomidis Spinellis talks with Marc Hoffmann, a key developer of the JaCoCo code coverage library for Java, on how code test coverage can improve software reliability

Edaena Salinas talks with Tammy Butow about Chaos Engineering. Tammy is a Principal Site Reliability Engineer at Gremlin. The discussion covers: how Chaos Engineering emerged, the types of chaos that can be introduced to a system, and how to structure...

Dmitry Jeremov and Svetlana Isakova speak to Matthew Farwell about the Kotlin programming language.

Nate Black interviews Glynn Bird on using open source to develop your career or get a job, and how maximize productivity and learning. We discuss how to get your pull request accepted, how to make your own project successful, and how to survive updates.

Postgres developer Bruce Momjian joins Robert Blumen for a discussion of the SQL query optimizer in the Postgres RDBMS. They delve into the internals of query planning and look at how developers can make it work for their apps.

Felienne interviews Andreas Stefik about creating programs that are accessible for blind and visually impaired users. How do they consume and create software?

Natalie Silvanovich and Kim Carter discuss reducing the attack surface of the software that Engineers are creating today. Code sharing, third-party code, Developer workflow, and a collection of 0 day bugs are all discussed.

Travis Kimmel and Kevin Goldsmith discuss the correspondence between organizational design and software architecture. Their conversation covers: what Conway’s Law is; Kevin’s experiences in different organizational structures (e.g., Avvo, Spotify, Adobe, and Microsoft) and how those structures influenced the software architecture; what the “Reverse Conway Maneuver” is and how organizations can leverage it; how organizations can evolve existing architectures.

Learn how a business that struggled with outages, performance problems, and an inability to ship overcame their problems by introducing monitoring, docker, continuous integration, and some fresh perspectives.

Felienne interviews Marian Petre & André van der Hoek on their book ‘Software Design Decoded’, which contains 66 scientifically backed insights for the design process.

Jeremy Jung talks with David Calavera about zero-downtime migrations and rollbacks with Kubernetes. In this episode we define migrations, rollbacks, and discuss how Netlify was able to migrate to Kubernetes and roll back off of it multiple times without impacting their users. David explains how developers can run old and new systems simultaneously, the importance of defining errors in your system, and when to apply fixes vs rolling back. We also discuss their decision to move to Kubernetes, and the benefits they received.

Edaena Salinas talks with Maria Gorlatova about Edge Computing. Maria Gorlatova is an Associate Research Scholar at Princeton University Department of Electrical Engineering. The discussion covers: IoT, edge computing, the architecture of edge computing, running a machine learning model on the edge, and the benefits of edge computing.