USE CASE
Consolidating Hardware and Workloads at the Edge
Reduce or avoid sprawl in remote locations with a single, secure platform to run apps, containers, Kubernetes, and connectivity services.
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USE CASE
Reduce or avoid sprawl in remote locations with a single, secure platform to run apps, containers, Kubernetes, and connectivity services.
Deploy, orchestrate, and manage hundreds or thousands of edge nodes across disparate geographical locations.
Leverage commodity hardware to reduce hardware and maintenance costs.
Secure workloads running locally and protect physical hardware from intrusion and tampering.
Enable zero-touch deployment of hardware and applications, eliminating the need for specialized IT resources at remote sites.
Edge computing environments often suffer from hardware sprawl, with diverse devices and vendor lock-in leading to high costs and management complexity. This sprawl arises from the need to deploy various supporting services and dedicated devices alongside even simple applications, creating logistical challenges in space-constrained edge locations. Consolidating hardware and workloads through solutions like an edge computing platform offers a way to streamline operations, reduce costs, and improve security in these distributed environments.
ZEDEDA’s edge computing platform consolidates hardware and workloads by providing a unified, vendor-agnostic platform for deploying and managing modern, cloud-native and legacy workloads, alongside network functions, Kubernetes and native containers on the same hardware at the edge, reducing costs, simplifying operations, increasing flexibility, and enhancing security.
Case Study
Learn how this global top 5 automotive manufacturer leverages the ZEDEDA edge computing platform across their global network of 70,000 dealerships to modernize its software delivery and data management systems.
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