Learn with Sphere: Google Cloud Machine Learning Pipeline: An approach to building an automated scalable ML pipeline using GCP

I’m Nikolay Milya, a Senior Full-Stack Developer at Sphere Partners. In this article, I am going to explain how to build a pipeline to automate the ML training process. The machine learning process from my perspective depends on two parts. The first one is how we train the model and how we receive the

April 15th, 2021|

Comparing Video Platform API and Features

With remote working now the norm amidst the pandemic, seamless real-time video communication is now an essential feature for business and corporate apps to stay competitive.  Luckily, developers don't need to build video functionalities from scratch. There are various video platform APIs that app and software makers can leverage, from leading names like Zoom to

March 29th, 2021|

The Differences Between GCP App Engine, Cloud Run & Cloud Function

Serverless computing lets the developer focus on what’s most important - development - and not have to worry about the underlying details of infrastructure and maintenance. Other benefits such as autoscaling, pay-as-you-go and on-demand provisioning make this a no-brainer if you are building stateless HTTP applications, web and mobile apps, IoT and sensor apps,

March 9th, 2021|