Edge computing is a powerful new tool in deploying mission-critical workloads. The combination of increasingly capable hardware with flexible, modular software built on a cloud-native foundation rounds out the continuum of compute and analytics from the point of data origination to the cloud.
This paper discusses the practical realities of real-world edge implementations when moving beyond small proof-of-concept trials to large-scale deployments.
- The best execution venue for workloads in the continuum between the edge and the cloud is determined based on each organization’s priorities for performance, cost and security.
- Use cases that leverage edge computing are frequently less expensive on a five-year basis when compared to cloud-centric models.
- Investing in open, standards-based edge management and security infrastructure prevents vendor lock-in and enables any permutation of edge or cloud compute models
