StackPath, a global platform delivering CDN technology, secured edge services and more, has announced the launch of StackPath Edge Computing Containers and Virtual Machines (VMs). StackPath users can now deploy and manage their own workloads in any StackPath edge node worldwide.
The new service lets StackPath customers put applications and services closer to their end users by leveraging more geographically-diverse Points-of-Presence (PoPs) than centralized public clouds. The higher proximity would make StackPath Edge Computing ideal for workloads that require near-immediate response times, ranging from security technology to media delivery, IoT, ad tech, and finance.
“The Internet has grown bigger and bigger but, from an end user or client perspective, it hasn’t grown closer and closer,” said Lance Crosby, co-founder and CEO of StackPath who also founded SoftLayer – a company that was sold to IBM for an estimated $2 billion. “The most secure and innovative applications today need to get data back and forth – and processed in between – faster. You don’t want security requests or urgent data hopping around the world. That’s what StackPath Edge Computing is all about. Process it faster, safer. Right at the edge.”
‘Deploy Workloads Worldwide in 60 Seconds’
StackPath Edge Computing lets customers “simply” upload an image of their workload to the StackPath platform, choose a size of containers or VMs, and then select in which “advanced” StackPath edge nodes the workload should be deployed. The workload would then be deployed worldwide in as fast as 60 seconds.
“As we collaborated with our customers during development, it’s been amazing to hear their ideas for using edge containers and VMs,” said Ben Gabler, Chief Product Officer at StackPath. “Some will deploy at the edge virtual appliances that they can then sell to their own customer base. Others are creating new, even more dynamic ways to personalize the content that they deliver to their end users. A financial institution is even exploring how it can enhance their high-frequency practices. The use cases are endless.”
StackPath Edge Computing features would include:
- Anycast IP – distribute traffic to the container or VM in the closest edge node to optimize cost and performance
- Hardware offload – offload select processing tasks such as network data path processing from CPU to server SmartNICs
- Built-in CPU and RAM Monitoring – view and report up to 24 hours of performance data through API or customizable web UI
- Security groups – set specific controls of network traffic before it reaches edge computing workloads
- Seamless integration with StackPath edge services – leverage “low latency” access to other StackPath secured edge services including CDN, DNS, WAF, monitoring, and more
Additionally, StackPath Edge Computing would leverage all the advantages of the company’s “high-performance” global network, including:
- 45 full-stack edge locations
- 65+Tbps total network capacity
- Platform-wide layer 3-5 DDoS protection
- Private network backbone between all edge locations
- 26+ tier-1 transit providers
- 2,700+ peering partners
- 55,000+ visible ASNs
“The edge is not a replacement of cloud. It’s the evolution,” said Mr. Crosby. “With 5G on the rise and IoT growing massively, leveraging the power of the edge is crucial for practically any internet-centric business. You don’t need to move all of your operations to the edge, but part of almost any application can be run at the edge to reduce overall traffic costs, increase visibility and control, and improve end-user experiences.”
Cores, RAM, Root Disk
StackPath Edge Computing Containers and VMs complement the recently released StackPath EdgeEngine, a serverless computing service that lets developers run code at the cloud’s edge without a server, virtual machine, or container. “EdgeEngine has taken off like a rocket,” said Mr. Gabler. “The volume of requests coming through EdgeEngine has broken every weekly goal since launch.”
StackPath Edge Computing Containers and VMs are available immediately. Container and VM instances are priced based on size (Cores, RAM, and root disk). See full pricing details online.