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Edge Node Service (ENS) provides users with "integrated, open, linked and elastic" edge distributed computing resources to bring their business closer to the actual scenarios, shorten the end-to-end transmission path, and reduce computing latency, thus improving business experience and cutting business cost. In the 5G era featuring low latency and high bandwidth, edge computing can significantly reduce business cost and invalid multi-stage forwarding, and improve the efficiency.
It deploys 100+ edge nodes across China, covering major regions and operators nationwide, to provide users with low-latency edge access services
Easy custom image creation and upload service allows one-click distribution to edge; upgraded gray scale supports various release strategies; 24-h business monitoring and custom elastic scaling rules
Edge container cluster for reliable multi-node deployment; regional autonomy during network outage; multi-tenant network security isolation; secure data transmission via VPN IPsec encryption channel
24-h all-round real-time monitoring, flexible setting of custom alarming rules, multi-channel alarming modes, and improved log collection, query and storage services
Rich experience in the fin-tech field; seamless access to Ping An Cloud, and seamless flow of cloud computing, network, storage, security, and AI service between the cloud and edge nodes
End-to-end interaction is essential for online education, and a stable link with very low latency is the keystone of normal business operation. ENS allows nearby access to edge nodes, ensuring low-latency and highly stable interactive communication links.
To guarantee the smooth HD live viewing experience, nearby live stream publication and transcoding technologies improve the quality of the link network and reduce the pressure of the core and backbone networks. ENS’s edge transcoding technology ensures stable live streaming.
ENS enables local video monitoring data collection, processing and storage, with only the necessary data returned to the source data center, thus greatly improving the monitoring efficiency. In addition, edge computing is equipped with edge AI, which enables local processing of video recognition and realizes low-latency video recognition.
ENS provides users with edge containerized application services. Through the ENS console, users can flexibly deploy containerized applications on 100+ edge nodes across China, and operate and maintain them easily.
Users’ applications are deployed on the hosted edge Kubernetes cluster, the resources and maintenance required by which are managed by Ping An. Users only need to deploy business applications as required and pay attention to the business logic of their applications rather than edge clusters, thus greatly reducing the cost and improving the efficiency of deploying edge services.
Call us
400-151-8800
Email us
cloud@pingan.com