Michael Tuszynski

Managing engineers in a hybrid work environment presents unique challenges and opportunities. In this post, we'll explore effective strategies for fostering collaboration, communication, and productivity among engineering teams split between remote and in-office settings. Understanding the Hybrid Environment The hybrid work model blends remote and on-site

In the fast-evolving landscape of technology, where innovation and change are the only constants, the role of a technical leader is both pivotal and challenging. Technical leadership transcends beyond mere management; it’s about vision, influence, and driving progress. Here are essential keys to successful technical leadership. Visionary Mindset

Artificial Intelligence (AI) has become a ubiquitous term in the realms of technology, business, and everyday life. Despite its prevalence, the nuances of AI technology are often clouded by complex jargon. This post aims to demystify AI, delving into what AI really is, how it learns (training), how it makes

Comparing Cloud Platforms for Application Development & CI/CD: AWS, GCP, Azure, with GitHub Actions

Mastering cloud architecture is akin to weaving a complex tapestry—every stitch matters. This deep dive into Terraform's orchestration for GCP offers a blueprint for architects to design, deploy, and dominate the cloud landscape.

And there you have it - a working todo app running on Microsoft Azure with CI/CD enabled.

Part 2: Setting up the certificates In the preceding part of this series, we set up the groundwork for a simple Todo App running Microsoft Azure. Next, we set up a secure SSL certificate for the app using LetsEncrypt and Terraform. Tl;dr you can find the entire second-stage

n this article, we'll explore using Terraform to set up a CI/CD pipeline with Azure and GitHub Actions. The combination of Azure and GitHub Actions emerges as a potent, flexible, and popular choice among developers and organizations.

Continuous Integration (CI) and Continuous Deployment (CD) are software development practices that involve automatically building, testing, and deploying software changes to a production environment.