<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Eooof的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Eooof</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Eooof]]></copyright><item><title><![CDATA[Gigaom雷达报告反映的非结构化数据管理技术应用趋势]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/156691759</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/156691759</guid><author>Eooof</author><pubDate>Wed, 07 Jan 2026 16:49:03 +0800</pubDate><description><![CDATA[摘要： GigaOm 2025 UDM报告评估了22家供应商，按成熟度、创新性、功能型和平台型维度划分，Arcitecta、Cohesity、Hammerspace和Komprise被评为领导者。]]></description><category></category></item><item><title><![CDATA[六成企业经历非计划性数据回迁，冷数据存储架构正在被重新评估]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/156689431</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/156689431</guid><author>Eooof</author><pubDate>Wed, 07 Jan 2026 15:29:07 +0800</pubDate><description><![CDATA[六成企业被迫数据回迁，云存储成本模型是否被低估？]]></description><category></category></item><item><title><![CDATA[Part.3 迁移税下的操作指南：从经验中总结的 5 条可行路径]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/151829758</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/151829758</guid><author>Eooof</author><pubDate>Thu, 18 Sep 2025 14:46:58 +0800</pubDate><description><![CDATA[在 Carl Watts 的多年项目经验中，他发现企业在 PB 级数据迁移中犯的最大错误就是。那么，除了概念上的“迁移税”，具体有哪些可落地的改进点呢？]]></description><category></category></item><item><title><![CDATA[Part.2 迁移税：为什么“移动 34PB 数据”会让成本成倍增加]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/151796717</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/151796717</guid><author>Eooof</author><pubDate>Wed, 17 Sep 2025 16:05:20 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[当你开始尝试迁移数十PB长期归档数据时--Part.1]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/151795574</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/151795574</guid><author>Eooof</author><pubDate>Wed, 17 Sep 2025 15:28:02 +0800</pubDate><description><![CDATA[书到用时方恨少，事非经过不知难。]]></description><category></category></item><item><title><![CDATA[冷数据归档迎新：国产磁带库系统包容并蓄，集各家所长]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/151757262</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/151757262</guid><author>Eooof</author><pubDate>Tue, 16 Sep 2025 15:14:43 +0800</pubDate><description><![CDATA[冷数据归档的新“拐点”：从趋势洞察到本地市场的实践案例。]]></description><category></category></item><item><title><![CDATA[创纪录的1.6EB+磁带库系统落地头部超大规模用户]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/148156261</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/148156261</guid><author>Eooof</author><pubDate>Fri, 23 May 2025 10:01:48 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[数据基础设施一周动向概览（10.14-10.18）]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/143046151</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/143046151</guid><author>Eooof</author><pubDate>Fri, 18 Oct 2024 12:11:48 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[防勒索故事：磁带库，救我命！]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/143043320</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/143043320</guid><author>Eooof</author><pubDate>Fri, 18 Oct 2024 11:47:34 +0800</pubDate><description><![CDATA[如何从一次典型的勒索攻击中“全身而退”？]]></description><category></category></item><item><title><![CDATA[Gartner最新容器管理魔力象限浅析]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/142872391</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/142872391</guid><author>Eooof</author><pubDate>Sat, 12 Oct 2024 10:54:23 +0800</pubDate><description><![CDATA[Gartner最新的容器管理魔力象限中，阿里云、腾讯和华为等本土大厂悉数入围，并与各自所处领导者/挑战者象限中的其他重要厂商身位极其接近，或许将其称为“玩家最为扎堆集中的魔力象限”也并不为过。的比例有望在2025年进一步提高，通常被视为一种替代或减少虚拟机管理程序使用的方法，鉴于服务器虚拟化市场所发生的重大变化，其关注度将会增加。通过为技术栈添加特色组件的方式，厂商在构建“护城河”的过程中不断寻求“安全感”，将整个技术栈引向专用的方向，客观上会阻碍平台的可移植性。]]></description><category></category></item><item><title><![CDATA[一些近期值得关注的存储和备份潜在漏洞]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/142868845</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/142868845</guid><author>Eooof</author><pubDate>Sat, 12 Oct 2024 09:16:25 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[为备份安个合适的“家”]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/142844554</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/142844554</guid><author>Eooof</author><pubDate>Fri, 11 Oct 2024 09:31:00 +0800</pubDate><description><![CDATA[与之形成鲜明对比，从ActiveScale冷存储恢复备份的速度比公有云快得多，并可降低成本高达98%，将Veeam Archive Tier的实用性和价值提升至前所未有的高度。当然，昆腾还有其他一众Veeam Ready的产品，包括DXi备份一体机系列、Scalar磁带存储系列，完整覆盖Veeam”3-2-1-1-0”数据保护原则中的各类应用场景。高效、灵活满足严苛的恢复SLA，专为使用跨闪存、硬盘和磁带等多个存储类别的快速恢复场景而设计，同时为企业关键备份提供经济的长期数据保留（LTR）选项。]]></description><category></category></item><item><title><![CDATA[不要在这些场景中使用LLM或生成式AI]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/142261805</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/142261805</guid><author>Eooof</author><pubDate>Sat, 14 Sep 2024 16:37:54 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[每日处理250亿个事件，Canva如何应对数据洪流]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/142260872</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/142260872</guid><author>Eooof</author><pubDate>Sat, 14 Sep 2024 16:05:52 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[人工智能和分析的基础：Why Architecture Matters]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/141029727</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/141029727</guid><author>Eooof</author><pubDate>Thu, 08 Aug 2024 16:11:17 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[数据+AI基础设施市场地图]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/140973747</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/140973747</guid><author>Eooof</author><pubDate>Wed, 07 Aug 2024 09:14:33 +0800</pubDate><description><![CDATA[最新的Gartner技术成熟度曲线显示，生成式人工智能（GenAI）已经度过了预期膨胀的高峰期，尽管关于它的炒作仍在继续。到2024年，基于其他人工智能技术的项目将产生更多价值，无论是独立的还是与GenAI结合的，这些项目都有标准化的流程来帮助实施。为了实现最大的利益，人工智能领导者应该将未来的系统架构建立在复合人工智能技术的基础上，结合炒作周期各个阶段的创新方法。因此，人们越来越关注治理、风险、所有权、安全和缓解。从计算、基础模型、数据和存储，到模型开发与训练、监控与可观测性。]]></description><category></category></item><item><title><![CDATA[Kubernetes和容器“扛把子”：我们和AI是绝配！]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/140871308</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/140871308</guid><author>Eooof</author><pubDate>Fri, 02 Aug 2024 14:12:34 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[为SSO付费？SaaS Wall of Shame！]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/140549420</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/140549420</guid><author>Eooof</author><pubDate>Fri, 19 Jul 2024 14:53:49 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[GigaOm第五次对象存储评估：关键特性、业务标准 & 供应商定位......]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/140493217</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/140493217</guid><author>Eooof</author><pubDate>Wed, 17 Jul 2024 14:01:51 +0800</pubDate><description><![CDATA[。]]></description><category></category></item><item><title><![CDATA[攻克聊天机器人幻觉]]></title><link>https://blog.youkuaiyun.com/Eooof/article/details/140200543</link><guid>https://blog.youkuaiyun.com/Eooof/article/details/140200543</guid><author>Eooof</author><pubDate>Fri, 05 Jul 2024 10:10:19 +0800</pubDate><description><![CDATA[她领导了云计算和机器学习的产品和GTM，在组织内部构建了AI驱动的平台，并建立了数据科学部门。通过将结构化数据集成到AI系统中，Illumex的生成语义结构（GSF）技术创建了一个统一的语义知识图谱，确保回应准确可靠。“通过让业务用户能够使用自然语言可靠地与数据交互，而无需教授他们精确的技术定义，我们正在实现AI民主化，并赋能企业做出更明智的决策。人工智能驱动的聊天机器人正在各个领域发挥着至关重要的作用，然而，聊天机器人的幻觉——错误或无意义的回应——却带来了巨大的挑战。]]></description><category></category></item></channel></rss>