The expectation of uninterrupted access to data is no longer a luxury; it’s a necessity. Whether you’re powering a critical application, serving multimedia content to a global audience, or simply backing up personal files, the reliability of your cloud storage directly impacts everything from productivity to trust. But what does “reliable” really mean? For most cloud providers, reliability is quantified in terms of uptime percentages: 99.9%, 99.99%, or even five nines. Yet behind these polished service level agreements (SLAs) lies a stark reality: true continuous performance — 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 Reliability isn’t something you hope for — it’s something you design for. From region-wide outages to misconfigured network routes, we’ve seen time and again that centralized infrastructure, no matter how fortified, cannot escape its own structural limitations. When all roads lead through a handful of data centers, a single misstep — a fire, a routing issue, an internal error — can have ripple effects across entire industries. From region-wide outages to misconfigured network routes, we’ve seen time and again that centralized infrastructure, no matter how fortified, cannot escape its own structural limitations. When all roads lead through a handful of data centers, a single misstep — a fire, a routing issue, an internal error — can have ripple effects across entire industries. This blog explores why Sia’s decentralized architecture is uniquely positioned to overcome these limitations. More than just another storage platform, Sia is built to ensure performance through resilience. In the sections ahead, we’ll compare this design to traditional storage models, break down real-world failure scenarios, and demonstrate how decentralization isn’t just more secure — it’s more reliable. performance through resilience Because in the future of cloud storage, reliability isn’t something you hope for — it’s something you design for. The Fragile Foundations of Centralized Clouds 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. Perhaps the most dramatic examples of cloud fragility are found in data center fires — incidents that can instantly disable entire zones of cloud services. In August 2022, an electrical explosion at Google’s Council Bluffs data center injured three workers and disrupted core services like Search and Maps. The event, an arc flash caused during substation maintenance, serves as a reminder that even industry giants cannot escape the risks associated with physical infrastructure. A year later in Paris, a multi-cluster failure at Google Cloud’s europe-west9-a zone began with water intrusion — itself a result of a cooling system failure that flooded the battery room and ignited a fire. This cascading failure not only took out one of Google’s major European cloud regions but also affected over 90 cloud services for an extended period. These incidents echo the now-infamous 2021 OVHcloud fire in Strasbourg, which completely destroyed the SBG2 data center and partially damaged others on the same campus. The fire highlighted another uncomfortable truth: Many customers had no disaster recovery plans in place, and entire websites were lost without backups. 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. However, not all outages are born of physical catastrophe — some are digital disasters waiting to happen. In February 2024, Google Cloud suffered yet another outage when a regional metadata store failure took its us-west1 region offline for nearly three hours. Similarly, a routine update by CrowdStrike in July 2024 triggered widespread crashes of Microsoft Windows systems, leading to thousands of canceled flights and massive productivity losses across industries. 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. Redundancy That Delivers Redundancy is often seen as a safety measure — a way to guard against failure. But on Sia, it’s much more than that. Redundancy is what enables continuous performance. By default, Sia splits every file into 30 encrypted shards using erasure coding. Only 10 of those shards are needed to fully reconstruct the file. This means the network can tolerate not just outages, but variable performance from individual hosts — all while maintaining seamless access. Redundancy isn’t a fallback — it’s the foundation of continuous performance. In contrast, traditional clouds rely on full file replication across a few regions. If one region fails, access slows or stops — and extra storage doesn’t mean better speed. Sia’s model adapts in real time. Retrieval paths shift dynamically based on host availability and network conditions — no failovers, no bottlenecks, no downtime windows. And while centralized clouds may also use erasure coding internally, all their infrastructure is still run by a single provider. One misconfiguration can affect the entire network. Sia’s hosts, by contrast, are independently operated — often by different individuals or businesses. Using Sia is like splitting your data across 30 different clouds by default. No single company controls the system, and no single point of failure can bring it down. Resilience Without Interruption In most cloud environments, when something breaks, performance suffers. Even with failover systems in place, disruptions often lead to degraded speed, throttled access, or total downtime while infrastructure scrambles to recover. Sia’s architecture works differently. When a host storing part of your data goes offline — whether due to failure, maintenance, or instability — your files remain fully accessible. There’s no loading spinner, no sync lag, no alert. The network continues to retrieve the necessary shards from the remaining hosts, dynamically choosing the fastest available options. All of this happens behind the scenes. Meanwhile, in the background, the renter software begins to autonomously restore full redundancy by uploading new shards to healthy hosts. This self-healing process doesn’t just protect against future failures — it ensures that performance remains uninterrupted. Sia doesn’t just recover from failure — it works through it. Rather than reacting to failure after it happens, Sia treats churn as an expected behavior — one the network is built to handle gracefully. It’s a model of resilience that doesn’t just avoid outages — it actively shields users from even noticing them. No Single Point of Failure Centralized cloud platforms are vulnerable to cascading failure because they rely on centralized control. A misconfigured router, a faulty software deployment, or a power issue in a single facility can ripple across regions — dragging down services that millions rely on. 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. If one host fails, the system keeps running. If ten hosts fail, it still keeps running. There’s no need to “fail over” because there’s no singular path to begin with. No region. No master node. No bottleneck. Just unstoppable access. This lack of central dependency doesn’t just enhance fault tolerance — it prevents performance blackouts. You’re not waiting for a region to come back online. You’re not bottlenecked by an overloaded gateway or a human administrator restoring service. You’re pulling data from wherever it’s fastest — continuously. prevents performance blackouts Designing for Reliability, Not Just Hoping for It When we talk about “cloud reliability,” we’re often sold a promise — an SLA backed by financial penalties, glossy uptime percentages, and brand reputation. But as we’ve seen, even the largest cloud providers cannot escape the fragility that comes with centralization. Whether it’s fires, heatwaves, or software missteps, the traditional cloud model is always a few cascading failures away from global disruption. 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 continuous performance: no privileged servers, no regional dependencies, no vendor lock-in. Just self-repairing, decentralized infrastructure that keeps your data accessible because no single actor has the power to make it inaccessible. continuous performance 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 just work, even when things go wrong, then it’s time we stop designing around trust and start designing around certainty. 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-injuredClaburn, T. (2023, April 26). Google Cloud slips over in Europe amid water leak, fire. https://www.theregister.com/2023/04/26/google_cloud_outage/Sverdlik, Y. (2021, March 9). Fire has destroyed OVH’s Strasbourg data center (SBG2). Data Center Knowledge. https://www.datacenterknowledge.com/uptime/fire-has-destroyed-ovh-s-strasbourg-data-center-sbg2Bloomberg 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-heatMillward, 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-2024Barrett, 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/ 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 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/ Google Cloud slips over in Europe amid water leak, fire https://www.theregister.com/2023/04/26/google_cloud_outage/ Sverdlik, Y. (2021, March 9). Fire has destroyed OVH’s Strasbourg data center (SBG2). Data Center Knowledge. https://www.datacenterknowledge.com/uptime/fire-has-destroyed-ovh-s-strasbourg-data-center-sbg2 Data Center Knowledge. https://www.datacenterknowledge.com/uptime/fire-has-destroyed-ovh-s-strasbourg-data-center-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 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 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/ WIRED. https://www.wired.com/story/fastly-cdn-internet-outages-2021/

This story contains new, firsthand information uncovered by the writer.

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