The Client

Plume WiFi is a cloud SDN SaaS company, leading the way in developing a cloud-based wireless controller, which can control Wi-Fi networks worldwide. The company is into designing cloud controllers to auto-provision different Wi-Fi network elements using various policies.

Key Outcome

Delivered AWS-native Wi-Fi SDN Controller for 60K Comcast residential clients.

AI-based Wi-Fi optimization for improved coverage and QoS.

business challenges

The client was encountering issues with legacy Wi-Fi networks viz. inadequate coverage, connectivity problems, high latency, interference, and security problems. To overcome these issues, the company felt the need to develop an intelligent, cloud-based Network-as-a-Service (NaaS) that adapts in real-time.

business impacts/key
results achieved

Plume WiFi was able to develop a new cloud orchestrator that uses Software Defined Networking (SDN) to bring real-time adaptive analytics-driven smarts to Wi-Fi networks. The full-stack CloudTech SDN solutioning provided by Zymr helped support a massive scale of subscribers of large service providers like Comcast in the United States. The multi-tenancy NaaS solution was adapted for leading U.S. Carrier, MSP and Enterprise customers.

Strategy and solution

We created a full-stack CloudTech SDN solution to develop Plume WiFi’s Wi-Fi cloud-controller. By following the agile development process, we built a complex product suite using the cutting-edge microservices cloud controller. We were the sole developer of the Web UI and co-developer of the iOS App. Our team created a robust test automation framework using Robot, Selenium, and Appium tools. Puppet based scripts for continuous delivery on Amazon’s AWS environment were developed. The Wi-Fi NaaS achieved a 99.99% uptime powered by Nagios and AWS monitoring tools in production. We helped in building a microservices architecture based cloud SDN controller in Python using Celery and RabbitMQ. XMPP protocol was used to control remote Wi-Fi access points. We developed a management portal using JavaScript, and Node.js was complemented with an iOS App in the case of the front end. While the backend was deployed on Amazon AWS, MongoDB powered the multi-tenant management. We also built an access-point using OpenWRT and Atheros Wi-Fi chipsets.

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