Hybrid&Multi cloud Deployments - Learn Data Science with Travis

Deployment Models in Cloud Computing

Towards Data Science

Introducing the three deployment models in cloud computing and understanding the difference between public cloud, private cloud and hybrid cloud

Hybrid vs Multi-Cloud Environment

Oracle Developers

Cloud computing provides resources, especially storage and computing power, that can be accessed on demand over the internet rather than via local resources. Subscription services billed by consumptio...

Multi-Cloud Synergy: Deploying a Serverless Static Website with OCI and AWS

Oracle Developers

As the digital era is unfolding, new possibilities in cloud services are enabling us to redefine what we thought was possible. Embracing the power of multi-cloud architecture isn’t just about leveragi...

Types of Cloud

Codecademy

There are several types of cloud computing implementation: Public Cloud Public clouds are owned and operated by third-party cloud service providers that deliver computing resources such as servers and...

Why You Should Consider a Multi-Cloud Strategy in Your Next Machine Learning Project

Towards Data Science

The multi-cloud strategy empowers companies to select cloud services offered by different cloud service providers Photo by Dallas Reedy on Unsplash Cloud computing services have been dominated by the...

Hybrid cloud + Google Anthos

Analytics Vidhya

As much as I have the tendency to think that the battle is over and cloud computing has completely replaced alternative models, the transition of enterprise workflows to the cloud is still in its…

Artificial Intelligence Projects Can Benefit From The Multi-Cloud

Towards Data Science

As organizations migrate their Artificial Intelligence (AI) solutions to the cloud, others have already embarked on AI or Machine Learning (ML) multi-cloud strategies. There are significant…

Hybrid — Cloud/Edge-based — AIML Model Deployment Architecture for Data Scientists

Towards Data Science

The deployment of Machine Learning models is one of the key elements of the Data Science Process. Often Data Scientists struggles on the deployment part to expose the model as a seamless API that can…...

Automating deployments to on premise servers with Azure DevOps

Level Up Coding

As someone who has spent most of their (very short) career doing one click cloud resource deployments, I was shocked when I jumped onto a legacy project and realised the complexity of the deployment…

How to Choose the Best ML Deployment Strategy: Cloud vs. Edge

Towards Data Science

The choice between cloud and edge deployment could make or break your project Photo by Jakob Owens on Unsplash As a machine learning engineer, I frequently see discussions on social media emphasizing...

Serverless Computing on AWS, Azure, and Google Cloud

Level Up Coding

Understand the cloud deployment landscape and pick the best alternative for your app, team, and business. Continue reading on Level Up Coding

Codex — a bridge between clouds?

Towards Data Science

Many businesses need to deal with multiple cloud environments. AWS, Azure, and Google Cloud each have their own sets of commands to carry out cloud actions, such as setting up buckets, defining…