We outline several methods to achieve authentication between microservices, starting with the simplest but least secure and maintainable and building up to the recommended architectures.
Presenting a new tool to measure throughput and latency across regions The cloud sometimes seems like an extradimensional space, where any amount of data can flow in near-zero time. But
As a programming newbie, you’re often told to comment on your code as much as possible. But it’s not long before you read an article telling you to do otherwise. Confused? This article will give you a clear picture of when to comment and when to avoid it.
Cloud Blaster is an open-source project that safely declutters your dev and testing GCP environments. We outline its features and explain how to use it, add features and test it.
I have been working at DoiT International as a Senior Cloud Architect since 2019. Maybe you should too? Over my career, I have served as a software architect, engineer, and manager
If you are new to Machine Learning (ML) and have learned to work with Jupyter Notebooks, this guide will show you how to move up to a more powerful production-ready system using AWS services.
Our certified DoiT engineers describe the AWS Partner Black Belt program in Machine Learning and Artificial Intelligence.
How to build Kotlin apps in the cloud with Gradle.
Major improvements for your favorite Google Cloud resource labeler — including PubSub and CloudSQL support. In 2018, DoiT International released Iris, an open-source project for automated labeling of resources in the Google Cloud.
Use these scripts to get rapidly familiarized with nine GCP & AWS services. Google Cloud Platform and Amazon Web Services provide many different infrastructures for running a web app. However,
