I worked with dozens of companies migrating their legacy data warehouses or analytical databases to the cloud. I saw the difficulty to let go of the monolithic thinking and design and to benefit from the modern cloud architecture fully. …

The decision of when to use a managed service in the AWS cloud or an alternative, such as the open-source version of the same service, is challenging to do right. …

In the previous post, I described 5 big business problems Amazon is trying to solve with machine learning. However, Amazon changed some of its plans for using machine learning in recent years, and instead of putting all the eggs in a few baskets, it tries to distribute them to many…

A lot has changed since Chris Anderson published a famous 2004 article in Wired about the long tail. Back then, Amazon, Netflix, and Spotify were nice ideas benefiting from the growing popularity of the Internet. …

What can we learn from how birds count and triathlon races to help us improve software product development? TL;DR: Even if you want to develop a general product that thousands of customers will use, build the first version (fast) for a limited and specific customer/use case. Then, when you want…

Five lessons from buying, driving, and owning a Tesla car about the future of automobiles and the world. …

Most computer vision systems focus on the analysis of a single camera. However, sometimes, it is not enough and you need more eyes. …

The best of three worlds, Micro-service for system architecture, Chalice for DevOps, and Jupyter Notebook for IDE, is the most effective combination I know today. …

Every change introduces a high risk to an enterprise company that must be assessed before its implementation. The increasing cases of cyber-attacks by malicious hackers for ransomware are a real threat to the less cloud-experienced traditional companies. Learning how to secure their newly created cloud environment is a must first…