Are you facing these Edge challenges?
It takes days to troubleshoot
No centralized management
It takes months to update applications and OS
High cost per location
50% Edge deployments will fail
Gartner
How to Overcome Four Major Challenges in Edge Computing 4 November 2019Current solutions are not designed for Edge
Lack of Central Management
Kubernetes Management Software (e.g Rancher) or traditional virtualization solutions (e.g VMware vSphere) have a single control plane to manage one or at best a few data centers and/or few Kubernetes clusters. If you apply this approach to the edge, you will have thousands of control planes across all locations, leading to escalating maintenance and staffing costs.
Lack of Infrastructure Flexibility
Public clouds are designed for hyper-scale homogenous regions. They do not easily work with distributed, non-homogenous edge infrastructure. For example, AWS Outposts does not run or manage workloads on any edge infrastructure the user already owns.
Day-2 Operational Challenges
Upstream open source stacks such as Kubernetes and OpenStack do not solve for ongoing day-2 operations like upgrades and monitoring. Doing it yourself (DIY) is expensive and can take months or years to implement and operate. It is also challenging to hire and retain open source and cloud operational staff.
Kubernetes Management Software
Lack of Central Management
Kubernetes Management Software (e.g Rancher) or traditional virtualization solutions (e.g VMware vSphere) have a single control plane to manage one or at best a few data centers and/or few Kubernetes clusters. If you apply this approach to the edge, you will have thousands of control planes across all locations, leading to escalating maintenance and staffing costs.
Public Clouds
Lack of Infrastructure Flexibility
Public clouds are designed for hyper-scale homogenous regions. They do not easily work with distributed, non-homogenous edge infrastructure. For example, AWS Outposts does not run or manage workloads on any edge infrastructure the user already owns.
Open Source Solutions
Day-2 Operational Challenges
Upstream open source stacks such as Kubernetes and OpenStack do not solve for ongoing day-2 operations like upgrades and monitoring. Doing it yourself (DIY) is expensive and can take months or years to implement and operate. It is also challenging to hire and retain open source and cloud operational staff.
Platform9’s SaaS Managed Kubernetes provides the solution
Centrally Manage 1000s of edge clouds
Ensure consistency, control, and governance with one SaaS management plane. Quickly stand up new edge locations. Automate from the bare-metal up.Remotely deploy Kubernetes, VMs or bare metal apps to the edge with a few clicks
Leverage powerful open source cloud frameworks, OpenStack, Kubernetes, without the operational overheadUse your existing x86 infrastructure:
No more proprietary hardware or lock-in. Get infrastructure flexibility and freedom you deserve.Benefits
Faster time to market
Operationalize edge clouds in days instead of months.
Reduced Operational Costs
Infra Flexibility
Self-Service API automation
Central SaaS Management
Upstream open source
Use Cases
Retail Smart Store
Transform customer experiences to increase revenue per store
- Enable immersive (AR/VR) customer experiences in the store
- Enable ML/AI based intelligent demand based stocking of goods
- Deliver faster real-time video analytics
- Provide seamless user experience of online and in-store transactions
How Platform9 Helps
- Automated API-driven CI/CD for developers to remotely and automatically deploy and update AI/ML, Point of Sale, video surveillance, and other applications with a few clicks.
- Reduce deployment times to 1000s of store locations from months to hours
- Remotely and centrally manage the life-cycle of the in-store infrastructure and applications
5G Telco Edge
Accelerate 5G-enabled Use Cases to Drive new Business Opportunities
- Enhanced Mobile Broadband – high-speed – eMBB. e.g. AR/VR,Audio/Video streaming etc.
- Ultra-Reliable Low Latency Communication: uRLLC. e.g. Autonomous vehicles, Smart City & Traffic Management
- Massive Machine Type Communication (IoT) – mMTC. e.g. IoT/Edge Compute
How Platform9 Helps
- Centrally deploy and run Kubernetes and CNF (Containered Network Functions) across 10,000s of cell towers and Central Offices
- Fully automate CNF life cycle management with custer-level and network APIs
- Leverage advanced networking for low-latency, high-performance capabilities at scale
ISV Software Delivery
Automate software deployment across all of your customers
- Enable agile development and delivery using CI/CD pipelines
- Improve development and operations staff productivity
- Reduce support and maintenance costs
How Platform9 Helps
- Deliver rapid and frequent application updates directly to your customer locations
- Remotely manage and automate life-cycle maintenance of of your software
- Reduce troubleshooting and support time through remote monitoring, alerting, and secure access
Solving the Edge Platform Challenge
Platform9 SaaS model is one of kind approach that delivers large-scale edge solutions to transform customer experience, help scale operations, deliver time to value, and drive down costs.