Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. SE Radio covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is brought to you by the IEEE Computer Society and IEEE Software magazine.
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SE-Radio-Episode-274-Sam-Aaron-on-Sonic-Pi
Felienne talks with Sam Aaron on Sonic Pi about how he designed Sonic Pi, a language, both for professional musicians performing with code as well as for schoolchildren.
SE-Radio-Episode-273-Steve-McConnell-on-Software-Estimation
Sven Johann talks with Steve McConnell about Software Estimation. Topics include when and why businesses need estimates and when they don’t need them; turning estimates into a plan and validating progress on the plan; why software estimates are always full of uncertainties, what these uncertainties are and how to deal with them. They continue with: estimation, planning and monitoring a Scrum project from the beginning to a possible end. They close with estimation techniques in the large (counting, empirical data) and in the small (e.g. poker planning).
SE-Radio Episode 272: Frances Perry on Apache Beam
Jeff Meyerson talks with Frances Perry about Apache Beam, a unified batch and stream processing model. Topics include a history of batch and stream processing, from MapReduce to the Lambda Architecture to the more recent Dataflow model, originally defined in a Google paper. Dataflow overcomes the problem of event time skew by using watermarks and other methods discussed between Jeff and Frances. Apache Beam defines a way for users to define their pipelines in a way that is agnostic of the underlying execution engine, similar to how SQL provides a unified language for databases. This seeks to solve the churn and repeated work that has occurred in the rapidly evolving stream processing ecosystem.
SE-Radio Episode 271: Idit Levine on Unikernelsl
Jeff Meyerson talks to Idit Levine about Unikernels and unik, a project for compiling unikernels. The Linux kernel contains features that may be unnecessary to many application developers--particularly if those developers are deploying to the cloud. Unikernels allow programmers to specify the minimum features of an operating system we need to deploy our applications. Topics include the the Linux kernel, requirements for a cloud operating system, and how unikernels compare to Docker containers.
SE-Radio Episode 270: Brian Brazil on Prometheus Monitoring
Jeff Meyerson talks with Brian Brazil about monitoring with Prometheus, an open source tool for monitoring distributed applications. Brian is the founder of Robust Perception, a company offering Prometheus engineering and consulting. The high level goal of Prometheus is to allow developers to focus on services rather than individual instances of a given service. Prometheus is based off of the Borgmon monitoring tool, widely used at Google, where Brian previously worked. Jeff and Brian discuss the tradeoffs of choosing not to replicate our monitoring data. In some situations, the monitoring system will lose data because of this decision. Other topics that are discussed are distributed consensus tools, integrations with Prometheus, and the broader topic of monitoring itself.
SE-Radio-Episode-269-Phillip-Carter-on-F#
Eberhard Wolff talks with Phillip Carter about F# - a multi-paradigm programming language supporting object-oriented, imperative, and functional programming paradimgs. Its unique features make it especially fit for parallel programming or DSLs.
SE-Radio Episode 268: Kief Morris on Infrastructure as Code
Kief Morris talks to Sven Johann about Infrastructure as Code and why it is important in the “Cloud Age”. Kief talks about the practices and benefits and why you should treat your servers as cattles, not pets.
SE-Radio-Episode-267-Jürgen-Höller-on-Reactive-Spring-and-Spring-5.0
Eberhard Wolff talks with Jürgen Höller about Reactive Spring. Reactive programming is a hot topic, but adoption has been slow in the enterprise. Spring 5 incorporates Reactor and the RxJava API to help Java developers build scalable high-performance web applications. The discussion explores architectural challenges, transactions, porting existing applications, and increased code complexity.
SE-Radio-Episode-266:-Charles-Nutter-on-the-JVM-as-a-Language-Platform
Charles Nutter from the JRuby project talks to Charles Anderson about JRuby and the Java Virtual Machine (JVM) as a platform for implementing programming languages. They begin by discussing the Java platform beyond just the Java language. As a case study in implementing a language other than Java on the JVM, they discuss JRuby - what it is and how it’s implemented on the JVM. They discuss recent additions to the Java platform like the invoke-dynamic byte code and lambdas in Java 8. The conversation concludes by discussing the future of the Java language, platform, and virtual machine.
SE-Radio-Episode-265-Pat-Kua-on-Becoming-a-Tech-Lead
Johannes Thönes talks to Patrick Kua about the role of a technical lead and how to become one. The show starts with introducing the concept of a lead and contrasts the lead role with other roles, such as technical manager, architect and senior developer. The discussion continues to the responsibilities of a tech lead (supporting engineering practices, managing, resolving conflict, and growing people). The discussion continues on to talk about the challenges of becoming a tech lead and how to overcome them and closes with the question: “how can you tell if you are succeeding as a tech lead”?
SE-Radio Episode 264: James Phillips on Service Discovery
Charles Anderson talks with James Phillips about service discovery and Consul, an open-source service discovery tool. The discussion begins by defining what service discovery is, what data is stored in a service discovery tool, and some scenarios in which it’s used. Then they dive into some details about the components of a service discovery tool and how reliability is achieved as a distributed system. Finally, James discusses Consul, the functions it provides, and how to integrate it with existing applications, even if they use configuration files instead of a service discovery tool.
Camille Fournier on Real-World Distributed Systems
Stefan Tilkov talks to Camille Fournier about the challenges developers face when building distributed systems, whether the can avoid building them at all, and what changes occur once they do.
SE-Radio Episode 262: Software Quality with Bill Curtis
Sven Johann talks with Bill Curtis about Software Quality. They discuss examples of failed systems like Obama Care; the role of architecture; move an org from chaos to innovation; relation between Lean, quality improvement and CMM; Team Software Process.
SE-Radio-Episode-261:-David-Heinemeier-Hansson-on-the-State-of-Rails,-Monoliths,-and-More
David Heinemeier Hansson, creator of the Ruby on Rails framework and a partner at the software development company Basecamp, talks to Stefan Tilkov about the state of Ruby on Rails and its suitability for long-term development. He addresses some of its common criticisms, such as perceived usefulness for only simple problems, claimed lack of scalability, and increasing complexity. David also talks about the downsides of building JavaScript-centric, “sophisticated” web UIs, and why he prefers well-structured, “majestic” monoliths to microservices.
SE-Radio Episode 260: Haoyuan Li on Alluxio
Jeff Meyerson talks to Haoyuan Li about Alluxio, a memory-centric distributed storage system. The cost of memory and disk capacity are both decreasing every year–but only the throughput of memory is increasing exponentially. This trend is driving opportunity in the space of big data processing. Alluxio is an open source, memory-centric, distributed, and reliable storage system enabling data sharing across clusters at memory speed. Alluxio was formerly known as Tachyon. Haoyuan is the creator of Alluxio. Haoyuan was a member of the Berkeley AMPLab, which is the same research facility from which Apache Mesos and Apache Spark were born. In this episode, we discuss Alluxio, Spark, Hadoop, and the evolution of the data center software architecture.