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Cloud Computing Intermediate

What is Multi-Cloud?

A strategy of using services from multiple cloud providers to avoid vendor lock-in and leverage best-of-breed capabilities.

Multi-cloud distributes workloads across AWS, Azure, GCP, and other providers. This avoids dependency on a single vendor, leverages each provider's strengths (e.g., GCP for ML, AWS for breadth), and improves resilience.

Challenges include increased complexity, inconsistent APIs, data transfer costs, and security management across platforms. Tools like Terraform, Kubernetes, and Pulumi help manage multi-cloud infrastructure consistently.

Related Terms

Edge Computing
A distributed computing paradigm that processes data near the source of generation rather than in a centralized cloud data center.
PaaS (Platform as a Service)
A cloud service model that provides a platform for developers to build, deploy, and manage applications without managing infrastructure.
Auto Scaling
Automatically adjusting the number of computing resources based on current demand to maintain performance and optimize costs.
Azure
Microsoft's cloud computing platform offering IaaS, PaaS, and SaaS services for building, deploying, and managing applications.
Kubernetes Namespace
A virtual cluster within a Kubernetes cluster that provides scope for names and enables resource isolation between teams or environments.
Cloud Load Balancer
A managed service that distributes incoming network traffic across multiple servers to ensure high availability and optimal resource utilization.
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