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MongoDB -

How Atlas Edge Server Bridges the Gap Between Connected Retail Stores and the Cloud

Efficient operations and personalized customer experiences are essential for the success of retail businesses. In today's competitive retail industry, retailers need to streamline their operations, optimize inventory management, and personalize the customer experience to stay ahead. In a recent announcement at MongoDB .local London, we unveiled the private preview of MongoDB Atlas Edge Server, offering a powerful platform that empowers retailers to achieve their goals, even when low or intermittent connectivity issues may arise. What is edge computing, and why is it so relevant for retail? The retail industry's growing investment in edge computing, projected to reach $208 billion by 2023, confirms the strategic shift retailers are willing to take to reach new markets and enhance their offers. And for good reason — in scenarios where connectivity is unreliable, edge computing allows operations to continue uninterrupted. Edge computing is a strategic technology approach that brings computational power closer to where data is generated and processed, such as in physical retail stores or warehouses. Instead of relying solely on centralized data centers, edge computing deploys distributed computing resources at the edge of the network. The evolution of investments in edge computing reflects a journey from initial hesitation to accelerated growth. As edge computing continues to mature and demonstrate its value, retailers are likely to further embrace and expand their focus in bringing applications where the computing and data is as close as possible to the location where it's being used. Let’s dig into how MongoDB addresses the current challenges any retailer would experience when deploying or enhancing in-store servers using edge computing. Connected store: How MongoDB's versatile deployment from edge to cloud powers critical retail applications. Currently, many retail stores operate with an on-site server in place acting as the backbone for several critical applications within the store ecosystem. Having an on-site server means that the data doesn't have to travel over long distances to be processed, which can significantly reduce latency. This setup can often also be more reliable, as it doesn't depend on internet connectivity. If the internet goes down, the store can continue to operate since the essential services are running on the local network. This is crucial for applications that require real-time access to data, such as point-of-sale (POS) systems, inventory management, and workforce-enablement apps for customer service. The need for sync: Seamless edge-to-cloud integration The main driver for retailers taking a hybrid approach is that they want to experience the low latency and reliability of an on-site server coupled with the scalability and power of cloud computing for their overall IT stack. The on-site server ensures that the devices and systems that are critical to sales floor operations — RFID tags and readers for stock management, mobile scanners for associates, and POS systems for efficient checkout — remain functional even with intermittent network connectivity. This data must be synced to the retailer’s cloud-based application stack so that they have a view of what’s happening across the stores. Traditionally this was done with an end-of-day batch job or nightly upload. The aim for the next generation of these architectures is to give real-time access to the same data set, seamlessly reflecting changes made server-side or in the cloud. This needs to be achieved without a lag from the store being pushed to the cloud and without creating complex data sync or conflict resolution that needs to be built and maintained. These complexities may cause discrepancies between the online and offline capabilities of the store's operations. It makes sense that for any retailer wanting to benefit from both edge and cloud computing, it must simplify its architecture and focus on delivering value-added features to delight the customer and differentiate from their competitors. Low-latency edge computing with Atlas Edge Server and its different components to achieve data consistency and accuracy across layers This is when Atlas Edge Server steps in to bridge the gap. Edge Server runs on-premises and handles sync between local devices and bi-directional sync between the edge server and Atlas. It not only provides a rapid and reliable in-store connection but also introduces a tiered synchronization mechanism, ensuring that data is efficiently synced with the cloud. These devices are interconnected through synchronized data layers from on-premises systems to the cloud, simplifying the creation of mobile apps thanks to Atlas Device SDK, which supports multiple programming languages, development frameworks, and cloud providers. Additionally, Atlas Device Sync automatically handles conflicts, eliminating the need to write complex conflict-resolution code. In the below diagram, you can see how the current architecture for a connected store with devices using Atlas Device SDK and Atlas Device Sync would work. This is an ideal solution for devices to sync to the Atlas backend. A high-level overview of the Architecture for connected devices in a retail space with MongoDB Device Sync and MongoDB Atlas when connectivity is unreliable. In a store with Atlas Edge Server, the devices sync to Atlas on-premises. All changes made on the edge or on the main application database are synced bidirectionally. If the store server goes offline or loses connectivity, the devices can still access the database and update it locally. The store can still run its operations normally. Then, when it comes back online, the changes on both sides (edge and cloud) are resolved, with conflict resolution built into the sync server. A high-level overview of the architecture for connected devices in a retail space with MongoDB Device Sync and MongoDB Atlas solving connectivity issues by implementing an on-premises Atlas Edge Server. Deploying Atlas Edge Server in-store turns connected stores into dynamic, customer-centric hubs of innovation. This transformation produces advantageous business outcomes including: Enhanced inventory management — The hybrid model facilitates real-time monitoring of logistics, enabling retailers to meticulously track stock in store as shipments come in and sales or orders are processed. By processing data locally and syncing with the cloud, retailers gain immediate insights, allowing for more precise inventory control and timely restocking. Seamless operational workflows — The reliability of edge computing ensures essential sales tools — like RFID systems, handheld scanners, workforce apps, and POS terminals — remain operational even during connectivity hiccups. Meanwhile, the cloud component helps ensure that all data is backed up and accessible for analysis, leading to more streamlined store operations. Customized shopping experiences — With the ability to analyze data on-the-spot (at the edge) and harness historical data from the cloud, retailers can create highly personalized shopping experiences. This approach enables real-time, tailored product recommendations and promotions, enhancing customer engagement and satisfaction. Conclusion With Atlas Edge Server, MongoDB is committed to meeting the precise needs of modern retail stores and their diverse use cases. Lacking the seamless synchronization of data between edge devices and the cloud, delivering offline functionality that enables modern, next-generation workforce applications, as well as in-store technologies like POS systems, is daunting. Retailers need ready-made solutions so they don't have to deal with the complexities of in-house, custom development. This approach allows them to channel their development efforts towards value-added, differentiating features that directly benefit their customers by improving their in-store operations. With this approach, we aim to empower retailers to deliver exceptional customer experiences and thrive in the ever-evolving retail landscape. Ready to revolutionize your retail operations with cutting-edge technology? Discover how MongoDB's Atlas Edge Server can transform your store into a dynamic, customer-centric hub. Don't let connectivity issues hold you back. Embrace the future of retail with Atlas Edge Server!

AI生成摘要 腾讯游戏推出Level Infinite PGOS平台,采用MongoDB作为核心存储组件,优化游戏开发体验。Level Infinite PGOS是一套多租户SaaS游戏后台解决方案,支持玩家数据存储、智能对局匹配、游戏内经济系统闭环和数据流能力。腾讯游戏通过MongoDB实现简单易用的控制台、丰富的可视化监控、一键升配降配能力和多维告警能力,提升运维能力。腾讯游戏Level Infinite PGOS平台负责人表示,MongoDB让平台如虎添翼。

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蓝点网 -

微软宣布关停Microsoft 365浏览器扩展 吸引用户从Chrome迁移到Edge?

据微软发布的支持公告,微软将在 2024 年 1 月 15 日关停 Microsoft 365 浏览器扩展程序 […]

AI生成摘要 微软将于2024年1月15日关闭Microsoft 365浏览器扩展程序,用户无法再下载安装。该扩展程序提供了Office Online版的链接,用户可以通过点击扩展进入Office Online版。明年关闭后,用户可以使用书签进入Office Online,或者使用Microsoft Edge浏览器的侧边栏集成的Office快捷方式。这可能是微软吸引用户从Chrome迁移到Microsoft Edge的一种方式。

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The Cloudflare Blog -

Cloudflare named a leader in Forrester Edge Development Platforms Wave, Q4 2023

Forrester has recognized Cloudflare as a leader in The Forrester Wave™: Edge Development Platforms, Q4 2023 with the top score in the current offering category

AI生成摘要 Forrester认可Cloudflare为The Forrester Wave™: Edge Development Platforms, Q4 2023的领导者,当前提供类别中得分最高。Cloudflare的边缘开发平台为企业提供构建全栈分布式应用所需的基础,并使开发人员能够利用全球分布式的计算、存储和可编程安全性网络,而无需成为CAP定理专家。超过一百万开发人员正在使用开发者平台产品构建应用程序,包括Workers、Pages、R2、KV、Queues、Durable Objects、D1、Stream、Images等。开发人员可以使用Cloudflare的完整计算、存储和开发人员服务套件轻松部署高度分布式的全栈应用程序。

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苍穹の下 -

Edge 上传未知异常导致上传速度大幅度异常

近期持续感觉我独服上在浏览器跑Speedtest异常(约为2Mbps-100Mbps),然后二进制Speedtest、Lark等A ...

AI生成摘要 最近使用浏览器跑Speedtest异常,速度慢且动画卡顿。使用FalconProxy代理插件后速度更慢。在不同的Windows环境中都出现类似问题,尤其是Edge浏览器。目前无法确定原因,但可以确定是Edge浏览器引起的。

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OpenResty 官方博客 -

在 OpenResty Edge 中配置自定义错误页

自定义模板创建 模板的应用 页面规则的验证 错误页的全局重写规则

AI生成摘要

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OpenResty 官方博客 -

在 OpenResty Edge 中配置 DNS 记录

添加 DNS 记录 测试 DNS 记录 配置权威 DNS 服务器

AI生成摘要 本教程介绍了如何在OpenResty Edge中配置DNS记录和基于地理位置的DNS派发规则。通过Admin Web控制台添加DNS记录,可以选择记录类型、子域名和限制条件。可以测试DNS记录并添加多条记录。还介绍了配置权威DNS服务器的步骤。作者是OpenResty项目创始人兼CEO。

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蓝点网 -

Microsoft Edge似乎自动开启选项使用你的书签和浏览记录投放广告

Microsoft Edge浏览器经常会弹窗要你开启所谓的个性化选项,如果你不慎点了明白了,那么恭喜你你就中招 […]

AI生成摘要 微软Edge浏览器中的个性化选项可能会在未经同意的情况下被默认开启,保存用户的数据用于个性化设置。建议用户检查设置并删除已保存的隐私数据。

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蓝点网 -

很快你就可以做精神欧洲人修改Win11管辖区域解绑必应和Edge

话说前几天蓝点网提到微软为满足欧盟数字市场法案的要求,将对 Windows 11 及后续版本中存在的限制进行松 […]

AI生成摘要 微软为满足欧盟数字市场法案的要求,将对Windows 11及后续版本中的限制进行松绑。用户可以修改搜索引擎和浏览器,但仅限于欧盟成员国和三个欧洲经济区国家。微软增加了一个注册表来标记系统所在位置,用户可以通过修改注册表来解除限制。此外,微软对Edge浏览器进行了额外检查。

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蓝点网 -

为满足欧盟要求微软将在Windows 11中解绑必应/MSN/Edge浏览器

有鉴于欧盟数字市场法案已经落地且 Windows 也被纳入监管,所以微软也不得不放开系统的某些限制以符合数字市 […]

AI生成摘要 微软公布了针对欧盟市场的变化,包括解绑必应搜索、关闭MSN资讯、不强制使用Edge浏览器打开链接以及同步微软账户的选择。这些变化仅适用于欧盟区。

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OpenResty 官方博客 -

如何添加自定义响应头(使用 OpenResty Edge)

将字符串作为值添加新的响应头 以 “System Hostname” 作为值的内置变量

AI生成摘要 本教程展示了如何在OpenResty Edge中添加自定义响应头,无需重启服务器进程。可以通过添加字符串或内置变量作为响应头的值。这种配置更改不需要重新加载服务器,非常高效。作者是OpenResty项目创始人兼CEO,OpenResty Inc.的创始人。

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