ZEDEDA extends key technologies beyond your cloud and data center to the edge, wherever you need them.
ZEDEDA’s orchestration solution for the distributed edge takes advantage of the latest innovations and technologies to operationalize edge deployments at scale for manufacturers, energy providers, retailers and beyond.
ZEDEDA supports simple and scalable deployment of public cloud offers that extend their analytics and storage services to the edge to enable real-time responses to events and reduce unnecessary data transfer.
ZEDEDA simplifies deployment of edge applications close to the data source to enable low-latency edge analytics, reducing bandwidth costs, and improving security. We collaborate with domain expert ISVs and SIs to deliver industry-leading solutions and also support any open analytics framework.
ZEDEDA leverages several key technologies to implement a Zero Trust security model. This is a necessity for edge computing nodes deployed outside of data centers because they don’t have a physical or network perimeter.
Open edge application frameworks are an essential enabler to deploy, connect, secure, and operate applications across edge computing sites at scale.
Supporting a broad scope of industrial protocols is critical for deploying edge solutions that normalize data from both legacy investments and modern devices and systems. ZEDEDA provides a secure foundation to deploy any third-party industrial connectivity stack.
Containers and cloud-native development practices have changed the way developers package and run applications. ZEDEDA provides a secure foundation to deploy containerized applications at the edge to enhance the overall digitalization experience of industrial IT/OT processes.
As enterprises increasingly adopt cloud-native development principles at the edge, they still need virtual machines to support legacy application investments. ZEDEDA leverages open source EVE-OS from LF Edge that can support virtual machines through choice of hypervisor, in addition to native containers and Kubernetes clusters.