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.
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.
Compute
- CPU
- Memory
Network
- Public IPv4 and IPv6 network interface
- Static IPs
- Load Balancing
Storage
- 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.
Self-Healing
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.