NetFoundry, the leader in cloud-orchestrated, zero trust networking, is empowering IoT and edge providers to more easily and securely manage edge computing and IoT, across all their customers and edges.
NetFoundry’s software-only edge and IoT networking enables low latency, micro-segmented networking for edge and IoT apps, and is easily integrated with leading app, solution and edge compute providers as part of turnkey solutions.
According to Paul Edrich, CTO of IMS Evolve, an IoT leader managing over 2 million devices globally: “For IMS, working with the NetFoundry networking platform is highly attractive to help us best serve edge compute customers. We have been working to embed our IoT Edge solution with NetFoundry SDKs so that we can enable customers to meet their edge compute goals without the hassle of deploying VPNs, firewalls, or propriety hardware. In fact, we can jointly be deployed as part of golden image on any IoT or edge device. This means we can provide our customer a turn-key, zero trust networking solution which is secure, scalable and future-proof.”
For Galeal Zino, Founder & CEO of NetFoundry: “IT moved from private data centers to cloud in order to most effectively manage their apps. So how can we expect IoT application providers or businesses to effectively manage hundreds of private data centers for edge compute and IoT, especially in places like shops and factories? Instead, we enable app providers and businesses to manage edge and IoT apps as cloud orchestrated, distributed fleets – seamlessly processing workloads in the places in which it makes the most sense to do so, from edge to cloud.”
100 local configs or 1 cloud-orchestrated networking?
If an IoT app provider has 10 customers and each customer has 10 sites, then the app provider has two basic choices:
- Nail up 100 locally configured VPNs and manage each as an island
- Centrally manage a single, cloud-orchestrated network
NetFoundry’s zero trust, software-only networking is embedded in apps, devices and edge compute, giving businesses ultimate simplicity and flexibility in how they get zero trust connections to the IoT app provider’s network:
The resultant networking is:
- Zero trust and microsegmented – much more secure than VPNs
- High performance – at least 200% compared to VPN for most apps
- Easy to manage – software-only with no VPN configurations and role-based access with granular read/write permissions to enable any management model
When the app provider uses the NetFoundry SDKs to embed zero trust networking inside the app, then there is no customer deployment. Otherwise, businesses that manage their own edge compute can take advantage of edge compute integrated networking, so that they don’t need to deploy extra networking hardware:
This enables NetFoundry and partners to provide powerful edge compute with embedded, cloud-orchestrated, zero trust, low latency networking. Eliminate the purchasing and managing extra networking hardware, and eliminate backhauling data over expensive VPNs, private APNs or MPLS circuits.
Businesses which manage their own edge compute get cloud agility and automation at all their edges, instead of trying to build private data center architectures at all their edges or sites. Since NetFoundry services are built on our open source Ziti Platform, developers and partners can easily customize and contribute to solutions.
Every edge needs a cloud
Most data will be processed at the edge, and when data needs to be processed in the cloud, it uses the same cloud orchestrated networking solution. NetFoundry’s platform and NaaS services are integrated with leading solutions such as Azure, Azure Virtual WAN, AWS and Digital Ocean, making it simple to connect from edge to cloud.
The upcoming explosion of IoT and Edge Computing
Better edge compute and emerging private 5G networking, coupled with advances in edge compute are enabling businesses to benefit from:
- Cost saving solutions such as predictive maintenance, asset management, energy reduction, warehouse automation and surveillance.
- Quality improvements and innovation, often enabled by edge compute ML and AI, including real-time voice interaction systems, AIoT video inferencing, autonomous vehicles, metro-scale IoT and Augmented Reality (AR).
The business benefits of these solutions are driving them forward at an extraordinary pace. According to Gartner, by 2025, at least 75% of enterprise-generated data will be produced and processed at the edge, compared to just 10% today.
