Technical interviews about software topics.
Nuxt.js with Alexander Lichter
When creating a website, there’s no shortage of choices for how to do it. Builders must make strategic decisions about the language or framework they want to adopt. An important first consideration for many is selecting a web application framework like React or Vue. Motivated by a low page response time and good user experience,
Metaplane with Kevin Hu
Application observability is a fairly mature area. Engineering teams have a wide selection of tools they can choose to adopt and a significant amount of thought leadership and philosophy already exists giving guidance for managing your application. That application is going to persist data. As you scale up, your system is invariably going to experience
Risk and Compliance with Terry O’Daniel
Consumers are increasingly becoming aware of how detrimental it can be when companies mismanage data. This demand has fueled regulations, defined standards, and applied pressure to companies. Modern enterprises need to consider corporate risk management and regulatory compliance. In this interview, I speak with Terry O’Daniel, Director of Engineering (Risk & Compliance) at Instacart. Sponsorship
Software Engineering at Google with Titus Winters
Thanks to the amazing books, blogs, videos, quickstarts, frameworks, and other software-related resources, getting started as a software engineer is easier than ever. Although you can get started in a day, it can take years to become a master of the craft and most practitioners describe it as a profession of lifelong learning. Titus Winters
Building Engineering Teams with Tramale Turner
With a few impressive exceptions, software is rarely written by one person. It takes a team and as that team outgrows a single shared office, coordination and communication become emergent problems. There are lots of lessons to be learned from companies that have already found approaches that scale. In this episode, I interview Tramale Turner,
Deploying Computer Vision to the Edge at Anduril Industries with Forrest Iandola
Neural networks, in particular, deep neural networks have revolutionized machine learning. Researchers and companies have pushed on the efficiency of every aspect of the machine learning lifecycle. The impact of the trained models is particularly significant for computer vision and in turn for autonomous driving and security systems. In this episode, I interview Forrest Iandola,
Too much paid content
I'm listening to an episode and the whole thing seem like a paid conversation with a CEO of a DevOps company that is there to promote their product.
And this is aside the other ads that are running in between. 😕