Edge Computing Platform

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Edge Computing Ensures Ultra-low Latency And High Bandwidth/Performance Computing.

CDNetworks Edge Computing Platform (ECP) enables customers to meet growing business demands by effortlessly deploying and scaling up container-based applications. ECP places high-performance compute, storage and network resources as close as possible to end users. Doing so lowers the cost of data transport, decreases latency, and increases locality. ECP is a container orchestration system built on Kubernetes and Docker for customers to write container-based applications once and deploy them everywhere.

Edge Computing Platform

Product Highlights

1500+ PoPs Global Presence

CDNetworks provides unmatched scale for rapidly expanding your container-based applications

50+ Tbps High Bandwidth

Aggregated bandwidth ensures high performance and availability, even with peak traffic

Automated deployment, self-healing, auto scaling, application monitoring & reporting

effortlessly deploy and scale up container-based applications based on business needs

Distributed PoPs to insure ultra-low latency

Dynamic monitoring of the Internet and direct traffic is based on real-time performance metrics and system-load information.

Compatible with TCP protocol

Allow cross-platform communications among heterogeneous networks

< 50 Ms Ultra Low Latency

Fast application processing and communication between edge and end points

Edge Computing Platform Solution

ECP is an Infrastructure As a Service (IaaS) that offers both Compute, Network, Storage resources for container instances and Kubernetes (K8s) container management at the edge.


  • CPU
  • Memory


  • Public IPv4 and IPv6 network interface
  • Static IPs
  • Load Balancing


  • High performance local SSD persistent storage

Automated Application Deployment

When developers specify a Pod, they can optionally specify the resources each container needs. Kubernetes runs a scheduler that automatically makes decisions about which nodes to place their Pods on, based on requests as well as predefined schedule policies and preferences. Manual application planning is not required.


Kubernetes scheduler will restart containers that fail, replace and reschedule containers when nodes die, and kill containers that don’t respond to any health check.

Automatic Rolling Updates

Deployment controller allows developers do application rollouts and rollbacks with ease

Horizontal Pod Autoscaling (HPA)

Scale applications up and down automatically based on resource usage such as CPU and memory.