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The Cloudflare Blog -

Cloudflare Gen 12 Server: Bigger, Better, Cooler in a 2U1N form factor

Cloudflare Gen 12 Compute servers are moving to 2U1N form factor to optimize the thermal design to accommodate both high-power CPUs (>350W) and GPUs effectively while maintaining performance and reliability

AI生成摘要 云服务提供商Cloudflare计划在2024年部署新一代基于AMD EPYC Milan x86处理器的服务器。由于新一代处理器的功耗和热量较高,Cloudflare决定采用2U机箱设计来提供更好的散热效果。这种设计可以容纳更大的风扇和散热器,并提供更多的空间用于添加加速器和GPU。通过这种方式,Cloudflare可以更好地利用机架的功耗预算和空间,提高总体的TCO效益。他们正在进行Gen 12计算服务器的验证,并计划尽快投入生产。

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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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Azure DevOps Blog -

Azure DevOps Server 2022.1 RTW now available

Today, we released Azure DevOps Server 2022.1 RTW. This is our final release of Azure DevOps Server 2022.1. You can directly install Azure DevOps Server 2022 Update 1 or upgrade from any version of Azure DevOps or TFS, including Team Foundation Server 2015 and newer. The post Azure DevOps Server 2022.1 RTW now available appeared first on Azure DevOps Blog.

AI生成摘要 Azure DevOps Server 2022.1 RTW is now available. It is the final release of Azure DevOps Server 2022.1 and can be installed or upgraded from any version of Azure DevOps or TFS. Feedback is welcomed.

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TiDB_PingCAP 的博客 -

TiDB 7.x 源码编译之 TiDB Server 篇,及新特性详解

到 11 月 15 日,2023 年已过去 87%,TiDB 7.x 系列即将迎来 7.5 LTS 版本。TiDB 在 MySQL 5.7 EOL 之际正式兼容 MySQL 8.0,为用户从 MySQL 5.7 迁移到 TiDB 减轻了工作量,并提供了更多助力。

AI生成摘要 本文介绍了如何编译TiDB Server源码以及TiDB Server 7.x的部分新特性。编译环境使用CentOS 7.9和Rocky Linux 9.2,编译步骤简单。TiDB Server可以单独启动,TiDB 7.x的新特性包括资源管控能力增强、TiDB相关SQL扩展、MySQL 8.0兼容性等。TiDB 7.5 LTS版本即将发布。

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涛叔 -

How to Set Up Selfhosted Email Server

I have used email service with my own domain for several years. Gandi.net were chosen as my domain registrar, not only because its low fees, but also its free mailbox service. However, since the middle of this year, Gandi.net has announced their price increment and would cancel all free mailbox service in the end of November. Although it is a controversial decision, I have no choice but to find an alternative mail service as soon as possible. As I also own some always free instance of Oracle Cloud Computer, why not set up my own selfhosted mail service? So do I, and in this blog, I will share how to set up one selfhosted mail server securely and freely, yet without any fee.

AI生成摘要 本文介绍了如何搭建自托管的邮件服务器。作者推荐使用Maddy Mail Server,它是一个轻量级、安全的邮件服务器,支持SMTP和IMAP协议。文章详细介绍了搭建邮件服务器的步骤,包括设置静态IP地址、配置DNS记录、安装TLS证书、安装和配置Maddy等。最后,作者建议使用mail-test.com测试配置是否正确,并发送测试邮件到大型邮件服务提供商(如Gmail或Outlook)以检查是否被视为垃圾邮件。

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Planet PostgreSQL -

Dan Langille: pg_dump: error: connection to server failed: fe_sendauth: no password supplied

This morning I encountered this error message: 20-Nov 03:25 dbclone-fd JobId 361156: ClientRunBeforeJob: pg_dump: error: connection to server at "pg02.int.example.org" (10.55.0.32), port 5432 failed: fe_sendauth: no password supplied In this post: FreeBSD 13.2 PostgreSQL 12.16 (server – pg02) PostgreSQL 16.1 (client – dbclone) The backstory: dbclone dumps the bacula database hosted on pg02. The script to do this is: /usr/local/bacula/dump_catalog.sh The host, user, and database name are stored in /usr/local/bacula/config.sh The password is stored in /root/.pgass This script ran correctly on Saturday night. On Sunday night, it failed. On Sunday, I upgraded the PostgreSQL client on dbclone from postgresql12-client-12.17 to postgresql16-client-16.1. The script [17:38 dbclone dan ~] % sudo cat /usr/local/bacula/dump_catalog.sh #!/bin/sh CONF=/usr/local/bacula/config.sh DIR=/usr/home/rsyncer/backups/bacula-database/postgresql if [ -r $CONF ] then . $CONF else echo Configurtion file does not exist: $CONF exit 3 fi #/usr/local/bin/pg_dump -Z0 -Fc --host ${HOST} --username ${USER} ${DB} --no-password > ${DIR}/${DB}.dump.tmp /usr/local/bin/pg_dump "sslmode=require host=${HOST} user=${USER} dbname=${DB}" --no-password -Z0 -Fc > ${DIR}/${DB}.dump.tmp DUMP_RESULT=$? if [ ${DUMP_RESULT} != 0 ]; then exit ${DUMP_RESULT} fi mv ${DIR}/${DB}.dump.tmp ${DIR}/${DB}.dump # allow rsyncer users to read this file /usr/sbin/chown rsyncer:rsyncer ${DIR}/${DB}.dump The commented out pg_dump is what was there before the error. The new invocation using sslmode was added today while working on this issue. The configuration file The configuration file contains: [17:39 dbclone dan ~] % cat /usr/local/bacula/config.sh #!/bin/sh # this is the configuration file for other scripts in this directory USER=bacula HOST=pg02.int.example.org DB=bacula .pgpass Here is the .pgpass file in q[...]

AI生成摘要 这篇文章没有提供任何内容。

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伪斜杠青年 -

RPI 4B – Bluetooth unavailable on Ubuntu server 20.04

背景 希望在 Docker 的 Home assistant 中使用树莓派蓝牙模块,树莓派 4B 板载蓝牙5.0,在配置 Home assistant 的时候发现蓝 ...

AI生成摘要 本文介绍了在Docker的Home Assistant中使用树莓派蓝牙模块的问题。通过安装pi-bluetooth包和编辑usrcfg.txt文件,解决了Ubuntu server 20.04不支持蓝牙模块驱动的问题。

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蓝点网 -

微软修复此前补丁造成的Windows Server 2022 VM蓝屏死机问题

10月份微软向Windows Server 2022发布的累积更新KB5031364导致在VMware ESX […]

AI生成摘要 微软发布的累积更新导致在VMware ESXi上出现蓝屏死机问题,但已通过更新KB5032198修复。问题仅影响AMD EPYC系列处理器。

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Azure DevOps Blog -

November patches for Azure DevOps Server and Team Foundation Server

This month, we are releasing fixes that impact our self-hosted product, Azure DevOps Server, as well as Team Foundation Server 2018.3.2. Azure DevOps Server 2022.0.1 Patch 5 Note: If you have Azure DevOps Server 2022, you should first update to Azure DevOps Server 2022.0.1 and then install Azure DevOps Server 2022.0.1 Patch 5. The post November patches for Azure DevOps Server and Team Foundation Server appeared first on Azure DevOps Blog.

AI生成摘要 本月发布了修复Azure DevOps Server和Team Foundation Server 2018.3.2的补丁。如果您使用Azure DevOps Server 2022,应先更新到Azure DevOps Server 2022.0.1,然后安装Azure DevOps Server 2022.0.1 Patch 5。补丁是累积的,如果您没有安装9月12日发布的Patch 3,安装Patch 5后将包括对Azure Pipelines代理的更新。修复了PowerShell任务参数验证的问题。

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蓝点网 -

[技巧] 阿里云99元服务器新玩法:安装Server 2022 7x24小时随时连接

阿里云在今年双11活动中推出99元/年的2核心2GB内存3M带宽服务器,而且这台服务器可以优惠价续四年。 因此 […]

AI生成摘要 阿里云双11活动推出99元/年的2核2GB服务器,可续费四年。可安装Windows Server系统,使用远程桌面客户端连接/控制。服务器配置不高但体验良好。活动持续到2026年3月。可后期更换系统。续费测试显示仍为99元/年。开通和续费方法详见文章。

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