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诺基亚 Corteca 使用 MongoDB Atlas 将 Wi-Fi 连接扩展到数百万台设备_AI阅读总结 — 包阅AI

包阅导读总结

1. 关键词:Nokia Corteca、Wi-Fi 连接、MongoDB Atlas、Home Controller、可扩展性

2. 总结:Nokia Corteca 的家庭 Wi-Fi 连接云平台经历更名和发展,现能支持多管理服务和多厂商环境。在成为 MongoDB Atlas 客户的五年里,成功从 50 万设备扩展到超 450 万,其具备稳定性、灵活性和高效能,与 MongoDB 团队关系良好。

3. 主要内容:

– Nokia 的家庭 Wi-Fi 连接云平台

– 2019 年推出为 Nokia WiFi Cloud Controller,2023 年更名为 Corteca Home Controller,是 Corteca 软件套件一部分。

– 可在多个云平台托管,支持多种管理服务和多厂商环境。

– 解决连接问题和优化性能

– 提前解决连接问题,自动优化 Wi-Fi 性能,为用户提供优质体验。

– 借助 MongoDB Atlas 实现扩展

– 处理大量实时数据,此前数据库缺乏稳定性。

– 选择 MongoDB Atlas 因其熟悉、灵活、能存储时间序列数据等优势。

– 轻松实现数据库扩展,与 MongoDB 团队关系良好,未来将加强合作。

思维导图:

文章地址:https://www.mongodb.com/blog/post/nokia-corteca-scales-wifi-connectivity-millions-devices-mongodb-atlas

文章来源:mongodb.com

作者:MongoDB Blog

发布时间:2024/7/1 13:32

语言:英文

总字数:658字

预计阅读时间:3分钟

评分:83分

标签:MongoDB,Atlas,诺基亚,Corteca,Wi-Fi


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Nokia’s home Wi-Fi connectivity cloud platform was launched in 2019 as the Nokia WiFi Cloud Controller (NWCC). In 2023, it was renamed and relaunched as the Corteca Home Controller, becoming part of the Corteca software suite that delivers smarter broadband for a better experience. The Corteca Home Controller can be hosted on Amazon Web Services, Google Cloud, or Microsoft Azure, and is the industry’s first platform to support three management services—device management, Wi-Fi management, and application management. Supporting TR-369 (a standardized remote device management protocol) also allows the Home Controller to work in a multi-vendor environment, managing both Nokia broadband devices and third-party broadband devices.

By solving connectivity issues before the end-user detects them, and by automatically optimizing Wi-Fi performance, the Home Controller helps deliver excellent customer experiences to millions of users, 24/7.

During the five years that Nokia Corteca has been a MongoDB Atlas customer, the Home Controller has successfully scaled from 500,000 devices to over 4.5 million. There are now 75 telecommunications customers of Home Controller spread across all regions of the globe.

Having the stability, efficiency, and performance to scale

Nokia Corteca’s solution is end-to-end, from applications embedded in the device, through the home, and into the cloud. Algorithms assess data extracted from home networks, based on which performance parameters automatically adjust as needed—changing Wi-Fi channels to avoid network interference, for example—thereby ensuring zero downtime.

The Home Controller processes real-time data sent from millions of devices, generating massive volumes of data. With a cloud optimization team tasked with deploying the solution across the globe to ever more customers, the Home Controller needed to store and manage its vast dataset and to onboard new telecommunication organizations more easily without incurring any downtime. Prior to Nokia Corteca moving to MongoDB Atlas, its legacy relational database lacked stability and required both admin and application teams to manage operations.

A flexible model with time series capabilities

That’s where MongoDB Atlas came in. Nokia was familiar with the MongoDB Atlas database platform, having already worked with it as part of a previous company acquisition and solution integration. As Nokia’s development team had direct experience with the scalability, manageability, and ease of use offered by MongoDB Atlas, they knew it had the potential to address the Home Controller’s technical and business requirements.

There was another key element: Nokia wanted to store time-series data—a sequence of data points in which insights are gained by analyzing changes over time. MongoDB Atlas has the unique ability to store operational and time series data in parallel and provides robust querying capabilities on that data.

Other advantages include MongoDB’s flexible schema, which helps developers store data to match the application’s needs and adapt as data changes over time. MongoDB Atlas also provides features such as Performance Advisor that monitors the performance of the database and makes intelligent recommendations to optimize and improve the performance and resource consumption

Fast real time data browsing and scalability made easy

Previously, scaling the database had been time-consuming and manual. With MongoDB Atlas, the team can easily scale up as demand increases with very little effort and no downtime. This also means it is much more straightforward to add new clients, such as large telecommunications companies.

Having started with 100GB of data, the team now has more than 1.3 terabytes, and can increase the disc space in a fraction of a second, positioning the team to be able to scale with the business.

As the Home Controller grows and onboards more telcos, the team anticipates a strengthening relationship with MongoDB.

“We have a very good relationship with the MongoDB team,” said Jaisankar Gunasekaran, Head of Cloud Hosting and Operations at Nokia. “One of the main advantages is their local presence—they’re accessible, they’re friendly, and they’re experts. It makes our lives easier and lets us concentrate on our products and solutions.”