在当今数字化世界中,期望无间断访问数据不再是奢侈品,而是一种必需品,无论您是驱动关键应用程序、向全球受众提供多媒体内容,还是简单地备份个人文件,云存储的可靠性都会直接影响从生产力到信任。 For most cloud providers, reliability is quantified in terms of uptime percentages — 99.9%, 99.99%, or even  . Yet behind these polished service level agreements (SLAs) lies a stark reality: true   — the ability to access your data anytime, anywhere, without unexpected delays or outages — remains elusive. Even the most robust centralized clouds are susceptible to the very thing they try to mitigate: failure. five nines continuous performance 可靠性不是你希望的东西,它是你设计的东西。 从区域性中断到配置错误的网络路线,我们一再看到,无论集中基础设施有多强化,都无法逃避其自身的结构限制。 从区域性中断到配置错误的网络路线,我们一再看到,无论集中基础设施有多强化,都无法逃避其自身的结构限制。 本博客探讨了为什么Sia的去中心化架构能够独特地克服这些局限性。 在接下来的部分中,我们将将这种设计与传统的存储模型进行比较,分解现实世界的失败场景,并展示分散不仅更安全,而且更可靠。 performance through resilience Because in the future of cloud storage, reliability isn’t something you hope for — it’s something you design for. 集中式云的脆弱基础 For all their promises of “five nines” uptime, traditional cloud storage platforms have repeatedly proven how brittle centralized infrastructure can be when confronted with environmental extremes, human error, or internal misconfigurations. Despite the redundancy claimed by hyperscalers like AWS, Google Cloud, and Microsoft Azure, real-world case studies tell a different story — one where millions of users can lose access in a moment, and entire businesses are brought to a standstill due to a single point of failure. 也许最具戏剧性的云脆弱性例子是数据中心火灾 - 事件可以立即关闭整个区域的云服务. 在2022年8月,谷歌的Council Bluffs数据中心的电气爆炸伤害了三名员工,扰乱了搜索和地图等核心服务。 一年后,在巴黎,谷歌云的欧洲西9区的多集群故障始于水侵入 - 它本身是冷却系统故障的结果,该故障淹没了电池房间并点燃了火灾。 这些事件回应了2021年斯特拉斯堡臭名昭著的OVHcloud火灾,该火灾完全摧毁了SBG2数据中心,并部分损坏了同一校园的其他人。 Many customers had no disaster recovery plans in place, and entire websites were lost without backups. Beyond fire, heat waves have proven to be an unexpected but growing threat. In July 2022, record-breaking temperatures exceeding 40°C (104°F) in London knocked both Google and Oracle data centers offline due to cooling system failures. Google had to proactively shut down parts of its cloud to prevent hardware damage — a stunning admission that weather alone could compromise service availability. 然而,并非所有的中断都来自于物理灾难,有些是等待发生的数字灾难。2024年2月,谷歌云遭受了另一个中断,当时一个区域性元数据存储故障将其西部地区关闭了近三个小时。 These failures expose the dangerous consolidation of cloud service dependency. When a content delivery network (CDN) like Fastly experienced a misconfiguration in 2021, it caused global disruptions, affecting Reddit, Spotify, and major news outlets within seconds. The cause? A single misconfiguration pushed globally due to the monoculture of CDN providers. Continuous Performance by Design Where centralized cloud providers build ever-larger fortresses to protect against failure, Sia sidesteps the problem entirely by rejecting the fortress model. Rather than betting everything on the resilience of a single region or facility, Sia distributes your data globally, across dozens of independently operated nodes, using mathematics — not marketing — to guarantee reliability. It’s not just a different infrastructure — it’s a different philosophy. 交付的解雇 解雇通常被视为一种安全措施 - 防止失败的一种方式,但在Sia中,这远不止于此。 默认情况下,Sia使用删除编码将每个文件分为30个加密片段,仅需要10个片段才能完全重建该文件,这意味着网络不仅可以容忍中断,而且可以容忍个别主机的变动性能,同时保持无缝访问。 Redundancy isn’t a fallback — it’s the foundation of continuous performance. 相比之下,传统的云计算依赖于几个区域的完整文件复制,如果一个区域失败,访问会减慢或停止,而额外的存储空间并不意味着更好的速度。 Sia的模型在实时适应,回收路径根据主机可用性和网络条件动态变化 - 没有故障,没有瓶颈,没有停机窗口。 虽然集中式云也可能在内部使用删除编码,但它们的整个基础设施仍然由一个提供商运营,一个错误的配置可能会影响整个网络。 相比之下,Sia的主机是独立操作的 - 通常由不同的个人或企业使用Sia就像默认情况下将数据分割到30个不同的云中一样。 无中断的抵抗力 在大多数云环境中,当某些东西发生故障时,性能也会受到影响,即使存在故障系统,故障往往会导致速度下降,访问障碍或基础设施难以恢复的全部停机时间。 Sia的架构运作不同。 当主机存储部分数据时,无论是由于故障、维护或不稳定性,您的文件仍然可以完全访问。没有加载旋转,没有同步延迟,没有警报。 与此同时,在背景下,租户软件开始通过将新片段上传到健康的主机来自动恢复完整的缺失,这种自我治愈过程不仅保护了未来的失败,而且确保了性能的持续运行。 Sia不仅从失败中恢复 - 它通过它工作。 在发生失败后,Sia不会对失败做出反应,而是将churn视为预期的行为 - 网络被构建以优雅的方式处理。 No Single Point of Failure 集中式云平台容易发生分散式故障,因为它们依赖于集中控制,错误配置的路由器、错误的软件部署或单个设施中的电源问题可能会跨区域蔓延 - 拖累数百万用户依赖的服务。 Sia’s architecture eliminates this risk by design. There is no master node. No central region. No privileged authority that can unintentionally take the system offline. Instead, your data is distributed across dozens of independent hosts around the world — each storing only encrypted shards. 如果一个主机失败,系统将继续运行;如果十个主机失败,它将继续运行;没有必要“失败”,因为没有单一的路径开始。 No region. No master node. No bottleneck. Just unstoppable access. 这种缺乏中心依赖不仅增强了错误容忍 - 它 您不是在等待一个区域重返网络,您不是被过载的网关或人为管理员恢复服务阻塞,您正在从最快的地方提取数据 - 不断地。 prevents performance blackouts Designing for Reliability, Not Just Hoping for It 当我们谈到“云可靠性”时,我们经常被卖出一个承诺 - 一个由财务处罚,闪亮的运行时间百分比和品牌声誉支持的SLA,但正如我们所看到的那样,即使是最大的云提供商也无法逃脱集中化带来的脆弱性。 Sia takes a fundamentally different approach. Instead of assuming infrastructure will hold and preparing for disaster when it doesn’t, Sia assumes failure is inevitable — and builds a system that keeps working anyway. That’s the essence of  没有特权服务器,没有区域依赖,没有供应商锁定,只有自我修复的去中心化基础设施,使您的数据可访问,因为没有一个单一的参与者有权使其无法访问。 连续性能 This is more than a technical advantage. It’s a shift in how we think about digital resilience. Rather than building higher walls and deeper moats, Sia disperses its defenses. It distributes trust. And in doing so, it redefines what reliable cloud storage can look like in a world where downtime is no longer acceptable. As organizations face mounting outages, rising costs, and tighter compliance demands, decentralization has become more than viable — it’s superior. If the future of the cloud is about building services that  即使事情发生错误,现在是时候停止围绕信任设计,开始围绕确定性设计了。 just work With Sia, continuous performance isn’t a target. It’s a guarantee. Sources Data Center Knowledge. (2022, August 9). Data center fire — Google suffers ‘electrical incident,’ 3 injured.    Data Center Knowledge. https://www.datacenterknowledge.com/hyperscalers/data-center-fire-google-suffers-electrical-incident-3-injured Claburn, T. (2023, April 26).  .  Google Cloud slips over in Europe amid water leak, fire https://www.theregister.com/2023/04/26/google_cloud_outage/ 2021年3月9日,斯德尔德里克(Sverdlik,Y. 2021年3月9日)。火灾摧毁了欧威斯特拉斯堡数据中心(SBG2).数据中心知识 https://www.datacenterknowledge.com/uptime/fire-has-destroyed-ovh-s-strasbourg-datacenter-sbg2 Bloomberg News. (2022, July 20). Google, Oracle data centers knocked offline by London heat.    Data Center Knowledge. https://www.datacenterknowledge.com/cooling/google-oracle-data-centers-knocked-offline-by-london-heat Millward, W. (2024, December 5).  .    The 10 biggest cloud outages of 2024 CRN. https://www.crn.com/news/cloud/2024/the-10-biggest-cloud-outages-of-2024 Barrett, B. (2021, June 8). How an obscure company took down big chunks of the internet.    WIRED. https://www.wired.com/story/fastly-cdn-internet-outages-2021/

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