Software Engineering Radio - The Podcast for Professional Software Developers

Software Engineering Radio - The Podcast for Professional Software Developers

By SE-Radio TeamTechnology
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Software Engineering Radio - The Podcast for Professional Software Developers episodes

  • SE Radio 294: Asaf Yigal on Machine Learning in Log Analysis

    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.

    41 min
  • SE Radio 293: Yakov Fain on Angular

    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.

    56 min
  • SE Radio 292: Philipp Krenn on Elasticsearch

    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.

    56 min
  • SE Radio 291: Morgan Wilde on LLVM

    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.

    54 min
  • SE Radio 290: Diogo Mónica on Docker Security

    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.

    1 hr 10 min
  • SE Radio 288: Francois Raynaud on DevSecOps

    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.

    1 hr 18 min
  • SE Radio 286: Katie Malone Intro to Machine Learning

    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.

    49 min

About Software Engineering Radio - The Podcast for Professional Software Developers

From the publisher's feed

Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. Every 10 days, a new episode is published…