Private and hybrid architectures are increasingly appealing, driven by application, data requirements, and better economics. While not all applications will benefit from repatriation, moving high resource-consuming workloads to private infrastructure can save up to 90% on TCO.
Whether for edge processing or local data processing, ML model training, test, staging environments for pre-production systems, or a cost-effective private Kubernetes cluster, running your services on-premises saves significant time and capital resources.
But why can’t we have the same user experience as the public cloud? Especially when it comes to networking. Networks should enable the applications and support the needs of the rest of the stack unobtrusively.