AiVibeHybrid Cloud
A hybrid cloud is an IT environment that combines on-premise or private cloud infrastructure with one or more public clouds, connected so that workloads and data can be placed and moved according to latency, cost and compliance needs.
A hybrid cloud combines two or more distinct environments, typically on-premise or private cloud infrastructure and one or more public clouds, connected so that data and applications can move or interoperate between them. NIST SP 800-145 lists hybrid cloud as one of four deployment models, alongside private, community and public cloud. Connectivity usually relies on site-to-site VPNs or dedicated links such as AWS Direct Connect, Azure ExpressRoute or Google Cloud Interconnect.
Manufacturers often adopt hybrid designs because plant systems must keep running locally with low latency and without depending on an internet link, while analytics, model training, long-term storage and enterprise applications run in the public cloud. Hybrid approaches also suit regulated data that must stay on site and phased migrations of legacy applications.
The main challenges are consistent identity, networking, security policy and monitoring across environments, and the cost and latency of moving data between them. Kubernetes and provider offerings such as AWS Outposts, Azure Arc and Google Distributed Cloud aim to give one operating model across locations. Clear rules on which data may leave a site are particularly important when operational technology networks are involved.
Key points
- One of the four deployment models in the NIST SP 800-145 cloud definition
- Links commonly use VPNs or dedicated circuits such as AWS Direct Connect or Azure ExpressRoute
- Lets plant systems run locally while analytics and storage run in the public cloud
- Consistent identity, networking and monitoring across sites is the main challenge
Where AiVibe comes in
AiVibe Software Services delivers cloud solutions on AWS, Microsoft Azure, Google Cloud or on-premise, together with cloud security, legacy modernisation, data analytics and AI and machine learning services.