Hybrid-and-Multi-cloud-Deployments

Hybrid and multi-cloud deployments are modern cloud computing strategies that combine various cloud services to optimize performance, flexibility, and cost-effectiveness. A hybrid cloud integrates both private and public cloud resources, allowing organizations to leverage the security of private clouds while benefiting from the scalability of public clouds. In contrast, a multi-cloud strategy involves using multiple public cloud services from different providers, enabling businesses to avoid vendor lock-in and select the best services for their needs. Together, these approaches empower organizations to tailor their cloud environments to meet specific operational requirements and regulatory compliance.

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

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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...

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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...

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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...

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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...

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Infrastructure-as-Code: Easy Cloud Deployment In Python

 ArjanCodes

Depending on the technology and type of cloud product you choose, cloud deployment can be intimidating, but it's often not that complex. In todays video I'll walk you through a couple of fairly simple...

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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…

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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…

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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…...

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From Azure to Autonomous an enterprise multi-cloud journey

 Oracle Developers

Special credits to co-author Sam ShahAs the multi cloud story unfolds, enterprises are looking to build applications that span infrastructures and cloud providers. Oracle and Microsoft recently announ...

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Deployments Concepts

 FastAPI Documentation

Deployments Concepts When deploying a FastAPI application, or actually, any type of web API, there are several concepts that you probably care about, and using them you can find the most appropriate ...

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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…

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