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.

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.

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.

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...

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.

Bernd Rücker, who has contributed to multiple open source workflow management projects, discusses orchestrating microservices with workflow management.  As distributed systems evolve into a family of microservices that must handle long-running stateful processes with time-dependent actions, events, multiple paths through the system, and complex rollbacks, the workflow management model provides a way to ensure clear modeling, correctness, and separation of concerns.   Rücker recommends a federated model in which each microservice is paired with its own workflow to handle retries and other policies and failure modes around that service.  Robert Blumen spoke with Rücker about microservice architecture, event-driven systems, long-running stateful processes versus synchronous request/response, event handling, time-outs, and handling exceptional conditions with compensating transactions. Rücker compares the choreography versus orchestration models for collaboration and discusses why orchestration provides a better separation of concerns.  The discussion delves into the implementation of workflow management systems including persistence, scaling, event handling, timers and scheduling, and similarities to CQRS.  The discussion wraps up with monitoring and visualization.

Arnon Axelrod speaks with SE Radio’s Simon Crossley about test automation, a large complex subject that most listeners will have at least some familiarity with. Axelrod has worked in software engineering and test automation in several high-tech companie...

Chris Richardson of microservices.io and author of the book Microservice Patterns discuss microservice patterns which constitute a set of best practices and building-block solutions to problems inherent microservice architecture.

Felienne interviews Margaret Burnett on GenderMag, a systematic way to assess the inclusivity of software.

Michael Chan has been teaching React since 2013 and is the host of the React Podcast. He currently works at Ministry Centered Technologies as a Frontend Architect.

Boris Cherny, author of Programming TypeScript, explains how TypeScript can scale JavaScript projects to larger teams, larger code bases, and across devices. Topics include: gradual typing, type refinement, structural typing, and interoperability...

Jeremy Howard from fast.ai explains deep learning from concept to implementation. Thanks to transfer learning, individuals and small organizations can get state-of-the-art results on machine learning problems using the open source fastai library...

Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning. Host Justin Beyer spoke with Jarmul about attack types and privacy-protected ML techniques.

Jens Gustedt, author of the Modern C book discusses Modern C, what is legacy C and all aspects of the C programming world with its historic flaws, modern improvements and simple beauty.

Felienne spoke with Youens-Clark about new features in Python, why you should teach testing to beginners from the start and the importance of the Python ecosystem.

Andy Powell is the CISO of AP Moller Maersk and discusses the 2017 cyber attack that hit the company and the lessons learned for preventing and recovering from future attacks.

Nigel Poulton, author of The Kubernetes Book and Docker Deep Dive, discusses Kubernetes fundamentals, why Kubernetes is gaining so much momentum, deploying an example app, and why Kubernetes is considered "the" Cloud OS.

Jeffery D Smith, author of Operations Anti-Patterns, DevOps Solutions, talks about how things can go wrong in development organizations and what DevOps has to offer with host Robert Blumen.

Michael Ashburne and Maxwell Huffman discuss Quality Assurance with Jeremy Jung.

Networking researcher Iljitsch van Beijnum discusses internet routing and the border gateway protocol (BGP) with host Robert Blumen.

Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay Manchale. Luis talks about the challenges in deploying models on specialized hardware and how TVM.

Ram Sriharsha of Pinecone discusses the role of vectors in machine learning, a technique that lies at the heart of many of the machine learning applications we use every day. Host Philip Winston spoke with Sriharsha about the basics of vectors, vector...

Vaughn Vernon, author of the book “Strategic Monoliths and Microservices” discusses his book with host Akshay Manchale about strategies for purposeful architecture from the perspective of both business decision makers and technical leaders.

Jessi Ashdown and Uri Gilad, authors of the book "Data Governance: The Definitive Guide," discuss what data governance entails, why it's important, and how it can be implemented. Host Akshay Manchale speaks with them about why data governance...

Jon Smart, author of the book Sooner Safer Happier: Patterns and Antipatterns for Business Agility, discusses patterns and anti-patterns for the success of enterprise software projects. Host Brijesh Ammanath speaks with him about the various common...

William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning...

Adam Tornhill, founder and CTO of CodeScene, joins host Giovanni Asproni to speak about behavioral code analysis. Behavioral code analysis is a set of practical techniques aimed at identifying patterns in how a development organization interacts with the codebase they're building. It can be used to prioritize technical debt to maximize return on investment; to identify communication and team-coordination bottlenecks in code; to drive refactorings guided by data from how the system evolves; and to detect code quality problems before they become maintenance issues. The episode starts with a broad description of the techniques, providing some examples from real projects, and ends with suggestions on how to get started with applying them. During the conversation, Adam and Giovanni touch on a set of related topics, including the applicability of the techniques to legacy, green-, and brown-field projects; ethical and privacy implications; and the importance of context when judging code quality.

Michael Fazio, Engineering Manager (Android) at Albert and author of Kotlin and Android Development featuring Jetpack from the Pragmatic Programmers, speaks with SE Radio's Gavin Henry about how the Android ecosystem looks today, and why it's an excellent time to write native Android apps. They explore a wide range of topics about modern Android development, including when to go native, how to keep a lot of decisions in your back-end API, Kotlin co-routines, Jetpack and Jetpack Compose, the MVVM design pattern, and threads, as well as activities, fragments, Dagger, room, navigation, Flutter, and improvements in simulators. They also examine details such as IDEs, API selection, how to choose a list of support devices, Java vs Kotlin, handset manufacturers, XML layouts, and why Jetpack is a safe bet for all your future Android development.

Jeroen Mulder, author of Multi-Cloud Strategy for Cloud Architects, joins host Robert Blumen for a discussion of public cloud, private cloud, and multi-cloud computing architectures and trends. They start by considering what defines cloud computing and what differentiates the major cloud providers, including whether they are more alike or different in the services they offer.  Jeroen discusses governance, regulatory compliance, and data locality as drivers of where enterprises want to run their workload. They explore use cases for multi-cloud, and discuss architectural challenges in migrating to kubernetes, as well as issues with networking, security, and identity management with multi-cloud architectures. Finally, they discuss running public cloud compute on on-prem resources with Anthos, Outback, and related technologies.

In this episode, Varun Singh, Chief Products and Technology Officer at Daily.co, speaks with host Nikhil Krishna about the 30-year evolution of web protocols. In particular, they explore the impact of protocol ossification, which has supported the Internet’s success but also limits the flexibility of evolving protocol suites such as TCP/IP and UDP by constraining future development. Varun points out how the end-to-end principle emphasizes full flexibility for end hosts, but the TCP implementation in the OS kernel as well as in “middle boxes” such as ISPs contributes to the constraints of ossification by blocking certain types of traffic. Further, the development of new protocols is challenging due to the need for backward compatibility with existing protocols. They discuss Google’s efforts – and the challenges it has faced – in working to move the HTTP protocol forward. The role of standards bodies such as the IETF and collaboration between industry stakeholders is crucial for the evolution of internet protocols, requiring a balance between maintaining backward compatibility and introducing new protocols such as QUIC and HTTP/3 to address existing constraints and improve internet performance and security. indeed, QUIC includes features that seek to actively avoid ossification and encourage evolution.

Dr. Daniel Zingaro and Dr. Leo Porter, co-authors of the book Learn AI-Assisted Python Programming, speak with host Jeremy Jung about teaching programming with the aid of large language models (LLMs). They discuss writing a book to use in Leo's introductory CS class and explore how GitHub Copilot de-emphasizes syntax errors, reduces the need to memorize APIs, and why they want students to write manual test cases. They also discuss possible ethical concerns of relying on commercial tools, their impact on coursework, and why they aren't worried about students cheating with LLMs.

José Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host Gavin Henry about what Elixir is today, what Livebook is, the five spearheads of the new machine learning ecosystem for Elixir, and how they all fit together. Valim describes why he created Elixir, what “the beam” is, and how he pitches it to new users. This episode examines things you can do with Livebook and how it is well-aligned with machine learning, as well as why immutability is important and how it works. They take a detailed look at a range of topics, including tensors with Nx, traditional machine learning with Scholar, data munging with Explorer, deep learning and neural networks with Axon, Bumblebee and Huggingface, and model creation basics. Brought to you by IEEE Computer Society and IEEE Software magazine.

Andy Suderman, CTO of Fairwinds, joins host Robert Blumen to talk about standing up a kubernetes cluster. Their discussion covers build-your-own versus managed clusters provided by cloud services, and how to determine the number of kubernetes clusters an organization needs. Andy describes best practices for automating cluster provisioning, and offers recommendations about customizations and opinionation of cloud service providers, choice of container registry, and whether you should run complementary services such as CI and monitoring on the same cluster. The episode also examines the day 0/day 1/day 2 lifecycle, cluster auto-scaling at the cloud service level, integrating stateful services and other cloud services into your cluster, and kubernetes secrets and alternatives. Finally, they consider the container-network interface (CNI), ingress and load balancers, and provisioning external DNS and TLS certificates for cluster services.

Yeckezkel Rabinovich, CTO of Groundcover, speaks with host Philip Winston about observability and eBPF as it applies to Kubernetes. Rabinovich was previously the chief architect at the healthcare security company CyberMDX and spent eight years in the cyber security division of the Israeli Prime Minister’s Office. This episode explores the three pillars of observability, extending the Linux Kernel with eBPF, the basics of Kubernetes, and how Groundcover uses eBPF as the basis for its observability platform.

Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural networks) means today. Using a practical example with deep learning for fraud detection, they explore what Axon is and why it was created. Moriarity describes why the Beam is ideal for machine learning, and why he dislikes the term “neural network.” They discuss the need for deep learning, its history, how it offers a good fit for many of today’s complex problems, where it shines and when not to use it. Moriarity goes into depth on a range of topics, including how to get datasets in shape, supervised and unsupervised learning, feed-forward neural networks, Nx.serving, decision trees, gradient descent, linear regression, logistic regression, support vector machines, and random forests. The episode considers what a model looks like, what training is, labeling, classification, regression tasks, hardware resources needed, EXGBoost, Jax, PyIgnite, and Explorer. Finally, they look at what’s involved in the ongoing lifecycle or operational side of Axon once a workflow is put into production, so you can safely back it all up and feed in new data. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode sponsored by Miro.

William Morgan, founder of the Linkerd service mesh and CEO of Bouyant, joins SE Radio’s Robert Blumen for a discussion of sidecars, service mesh, and a forthcoming enhancement to kubernetes to support sidecars natively. The conversation explores the origin of sidecars, sidecars and service mesh, and migrating service mesh to kubernetes. They take a deep dive into some aspects of running service mesh on kubernetes, the difficulties in running a sidecar container in a pod, and Kubernetes Enhancement Proposal (KEP) 753, which is intended to provide better native support for sidecar containers. William also gives some thoughts on the continuing relevance of service mesh.

Frances Buontempo, author of the new book Learn C++ by Example, discusses the C++ programming language, a widely used general-purpose programming language. Host Philip Winston spoke with Buontempo about where C++ fits into the landscape of existing programming languages and how recent C++ standards have changed things. They talk about specific language features such as lambdas, templates, concurrency, ranges, concepts along with tips for learning and using C++. Brought to you by IEEE Software and IEEE Computer Society.

Infrastructure engineer and Kubernetes ingress-Nginx maintainer James Strong joins host Robert Blumen to discuss the Kubernetes networking layer. The discussion draws on content from Strong’s book on the topic and covers a lot of ground, including: the Kubernetes network's use of different IP ranges than the host network; overlay network with its own IP ranges compared to using expanded portions of the host network ranges; adding routes with kernel extension points; programming kernel extension points with IP tables compared to eBPF; how routes are updated as the host network gains or loses nodes, the use of the Linux network namespace to isolate each pod; routing between pods on the same host; routing between pods across the host network; the container-network interface (CNI); the CNI ecosystem; differences between CNIs; choosing a CNI when running on a public cloud service; the Kubernetes service abstraction with a cluster-wide IP address; monitoring and telemetry of the Kubernetes network; and troubleshooting the Kubernetes network.

Brought to you by IEEE Software magazine and IEEE Computer Society.

Jim Bugwadia, CEO of Nirmata and a committer to the Kyverno projects, joins host Robert Blumen for a discussion of policy-as-code and the open source Kyverno project. The discussion covers the nature of policies; policies and security; policies and compliance to standards; security scans that generate reports compared to tools that allow or deny operations at run time; Kyverno as a kubernetes service; the Kyverno helm charts; the components of Kyverno; bootstrapping a kubernetes cluster with Kyverno; installing policies; implementing policies; customizing policies; packaging and installing policies; kubernetes dynamic admission controllers; the Kyverno admission controller; securing Kyverno itself; observability of Kyverno; types of reports and messages available to cluster users.

This episode is sponsored by QA Wolf.

Nick Tune and Jean-Georges Perrin join host Giovanni Asproni to talk about their proposed approach to modernizing legacy systems. The episode starts with some high-level perspective to set context for the approach described in their book, Architecture Modernization (Manning, 2024). From there, the discussion turns to important details, including criteria for deciding which aspects to revisit; some of the activities, processes, and tools; and the importance of data engineering in modernization efforts. Nick and Jean-Georges describe how to successfully implement an architecture-modernization effort, and how to fit that work with the teams' other priorities. The episode finishes with some warnings about the typical risks associated with modernizing a legacy system, and suggestions on how to mitigate them.

This episode is sponsored by QA Wolf.

Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson about the role of a data scientist, the difference between running experiments in notebooks and building an automated pipeline for production, machine learning vs. AI, the typical pipeline steps for machine learning, and the role of software engineering in data science. Brought to you by IEEE Computer Society and IEEE Software magazine.

To change direction; Reverse one's course or actions.

To arrive unexpectedly.

This month marks the 20th anniversary of the effort that became the Atom feed format. It all began on June 16, 2003, with a blog post from Apache Software Foundation contributor Sam Ruby asking for feedback about what constitutes a well-formed blog entry.

The development of RSS 2.0 had been an unplanned hopscotch from a small group at Netscape to a smaller one at UserLand Software, but Atom was a barn raising. Hundreds of software developers, web publishers and technologists gathered for a discussion in the abstract that led to a concrete effort to build a well-specified syndication format and associated publishing API that could become Internet standards. Work was done on a project wiki that grew to over 1,500 pages. Everything was up for a vote, including a plebiscite on choosing a name that ballooned into a four-month-long bike shed discussion in which Pie, Echo, Wingnut, Feedcast, Phaistos and several dozen alternatives finally, mercifully, miraculously lost out to Atom.

The road map of the Atom wiki lists the people, companies and projects that jumped at the chance to create a new format for feeds. XML specification co-author Tim Bray wrote:

The time to write it all down and standardize it is not when you're first struggling to invent the technology. We now have aggregators and publishing systems and search engines and you-name-it, and I think the community collectively understands pretty well what you need, what you don't need, and what a good syntax looks like.

So, now's the time.

As someone whose only contribution to the project was voting on names, I think I was too quick to rule out Phaistos, a suggestion inspired by a clay disc produced by movable type before 1600 B.C. Comments on the wiki page proposing that monicker offer a sample of the name wars:

MikeBlumenthal: Does one of the great mysteries of antiquity, a document which, after almost 100 years of trying, is still a mystery not only as to its meaning but even as to its purpose, and which stands as a paragon of impenetrability, really fit as a name for an interoperability format?

Jayseae: Actually, the current state of RSS is pretty much a mystery -- why should this project be any different? I like the association with publishing -- though I'm not sure the pronunciation really flows. Perhaps it could be shortened somehow?

AsbjornUlsberg: Sorry, but I don't like it. We could just as gladly give the project any other Greek-sounding name, like Papadopolous.

Arising from all the chaos and debate, the Atom format became a beautifully specified IETF standard in 2005 edited by Mark Nottingham and Robert Sayre that's used today in millions of feeds. It is the most popular syndication format that's never argued about.

Everybody got that out of their system on the wiki.

Today is the 20th birthday of the RSS Advisory Board, the group that publishes the RSS specification. It was formed on July 18, 2003, when the copyright of the specification was transferred to Harvard University, which immediately released it under a Creative Commons license and deferred all matters related to RSS to the new board.

At the time of the board's launch, here's how the founding members described its purpose:

Is the advisory board a standards body?

No. It will not create new formats and protocols. It will encourage and help developers who wish to use RSS 2.0. Since the format is extensible, there are many ways to add to it, while remaining compatible with the RSS 2.0 specification. We will help people who wish to do so.

What does the advisory board actually do?

We answer questions, write tech notes, advocate for RSS, make minor changes to the spec per the roadmap, help people use the technology, maintain a directory of compatible applications, accept contributions from community members, and otherwise do what we can to help people and organizations be successful with RSS.

This remains the purpose 140 dog years later. In addition to maintaining the current RSS specification, we are the official publisher of Netscape's RSS 0.90 and RSS 0.91 specifications and Yahoo's Media RSS specification.

We also offer an RSS Validator and RSS Best Practices Profile containing our recommendations for how to implement the format.

There's a resurgence of interest in RSS today as people discover the exhilarating freedom of the open web. Some of this is due to dissatisfaction with deleterious changes at big social sites like Twitter and Reddit. Some is due to satisfaction with Mastodon, a decentralized social network owned by nobody with more than one million active users. As long as there are social media gatekeepers using engagement algorithms to decide what you can and can't see, there will be a need to get around them. When someone offers an RSS or Atom feed and you subscribe to it in a reader, you get their latest updates without manipulation.

Here's to another 20 years of feeding readers, unlocking gates, helping developers adopt RSS and repeatedly getting asked the question, "Can an RSS item contain more than one enclosure?"

The RNC’s idea of “Making America Safe Again” is centered on policing and harsh anti-immigrant detention, not on gun violence.

An extremely tight race for the presidency is sparking a last-minute, Black-led GOTV effort aimed at Black voters in swing states.

Gideon Levy, an Israeli journalist long critical of his nation’s apartheid state, offers moral clarity on the first anniversary of the genocide in Gaza.

Incarcerated people in California and many other states can be compelled to work for near-zero wages. A ballot proposition could change that.

Schools are a powerful place to begin building an LGBTQ-affirming culture, as an antidote to fear and bigotry.