Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved.  In reality, it’s more like the first lap in a relay race.  Deploying ML to production bears many similarities to a typical software release process, but brings several novel challenges like failing to generalize as expected

Internships can be an incredibly valuable resource to new professionals and are often the first professional work experience for many participants.  It’s often the case that internship programs are suboptimal.  Employers don’t always provide a clear path to success for the intern.  Interns in turn don’t always have a resource to reach out for help

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,

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

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

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

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,

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,

Modern businesses run on the cloud and increasingly so they run on multi-cloud infrastructure.  As any growing company can tell you, cloud costs can easily run far out of control.  Today’s enterprises are trying to deliver new products and services at a fast pace.  That needs to be done in a cost-effective, ideally cloud-agnostic way.

I call my friends at Pal Jazeera to action.