The Problem
2025 was the year the cloud began to break.
In October 2025, AWS's US-EAST-1 region went down for 15 hours. A latent race condition in DynamoDB's DNS management system wiped out endpoint records, cascading into failures across dozens of AWS services. Entire businesses went offline with nothing to do but wait.
A month later, Cloudflare's Bot Management system pushed a configuration change that doubled the size of an internal feature file. That file exceeded a hard-coded limit in proxy software, crashing processes across their entire global network. X, ChatGPT, Canva, and countless other services returned 5xx errors for hours. Two weeks after that, Cloudflare went down again: a Lua nil value exception in their legacy proxy took out HTTP traffic globally for half an hour.
GitHub Actions runners experienced intermittent timeouts in December 2025 when network packet loss hit their West US region. CI/CD pipelines stalled and deploys froze. It happened again in February 2026, ironically when we were upgrading Anyone Protocol's Network Health Depictor service to not rely on GitHub Actions.
In February 2026, Supabase hit elevated 500 errors across US regions, taking down reads for a nearly four hour stretch. An internal networking configuration change cascaded into service-wide failures.
These weren't isolated incidents. AWS, Azure, and Google Cloud combined for over 100 service outages between August 2024 and August 2025. An estimated 94% of enterprise services worldwide depend on at least one of these three providers. When they go down, the internet goes with them.
The pattern is always the same: a small internal assumption breaks, propagates through deeply layered systems, and cascades into global failure. By the time engineers diagnose the root cause, the blast radius has already expanded fully.
For projects building critical decentralized infrastructure, like the networks Memetic Block engineers, this level of dependency on centralized providers is a fundamental architectural contradiction.
Our Approach
Memetic Block operates its own private bare-metal cloud infrastructure. Not as a philosophical statement, but as an engineering decision driven by the requirements of the systems we build and operate.
Why Bare Metal
When you run on AWS or GCP, you're renting a slice of someone else's computer inside someone else's network governed by someone else's operational decisions. You inherit their blast radius. Their DNS bug becomes your outage. Their proxy crash becomes your downtime.
Bare metal eliminates that inheritance chain. You own the hardware. You own the network. You own the failure domain. When something breaks, it's your something, and you can fix it (or prevent it from happening in the first place) on your own timeline with full visibility into the stack, from BIOS to application layer.
For Anyone Protocol, a decentralized privacy network with thousands of relay operators depending on backend coordination services, this isn't optional. A 15-hour AWS outage would mean 15 hours of relay operators unable to register, claim rewards, or coordinate with the network. For a DePIN protocol, downtime doesn't just cost revenue; it erodes the operator trust that the entire network depends on.
What We Actually Run
Our bare-metal infrastructure isn't a single rack in a closet. It's a production-grade private cloud built with the same rigor you'd expect from a managed provider, minus the shared failure domains.
Dedicated compute. Physical servers provisioned and configured for the specific workloads they run. No noisy neighbors. No hypervisor overhead. No surprise resource contention from another tenant's traffic spike saturating shared network links.
Isolated networking. Our network topology is designed so that a configuration error or traffic anomaly in one system doesn't cascade into others. When Cloudflare's peering links with AWS saturated in August 2025 because of a single customer's traffic pattern, every other Cloudflare customer on that path suffered. With our infrastructure, the blast radius is bounded by design.
Full-stack observability. When you own the hardware, you can instrument everything. We run comprehensive monitoring from the metal up: hardware health, network performance, service metrics, and application-level observability. No black boxes. No waiting for a provider's status page to confirm what you already suspect.
Automated CI/CD without third-party dependencies. Our deployment pipelines don't depend on GitHub Actions runners staying healthy in someone else's data center. When GitHub Actions experienced intermittent timeouts in December 2025, teams relying on hosted runners watched their deploy pipelines stall. Our pipelines kept running.
Redundancy we control. Multi-provider strategies are often cited as the answer to cloud outages. But true multi-cloud is expensive, operationally complex, and still leaves you dependent on DNS providers, CDN layers, and API gateways that share the same underlying infrastructure. We prefer redundancy we can reason about, where we understand every link in the chain and can make informed tradeoffs about where to invest in resilience.
The Operational Reality
Running bare metal is harder than clicking "deploy to AWS" and we don't pretend otherwise.
It means maintaining hardware. It means building deployment automation that cloud providers give you for free. It means on-call rotations for infrastructure issues that a managed provider would otherwise absorb.
But it also means that when Cloudflare's November outage took down services across the internet, our systems kept serving traffic. It means that when AWS's DNS resolution failed for 15 hours, our services kept resolving. It means that when GitHub Actions runners timed out, our CI/CD pipelines kept deploying.
The operational overhead is real. The independence is worth it.
When This Matters Most
Bare-metal private cloud isn't the right answer for every project. A startup validating an MVP should probably use Vercel and move fast. A marketing site doesn't need dedicated hardware.
But for certain classes of systems, the calculus changes:
Decentralized networks. If you're building infrastructure that exists to eliminate single points of failure, running on a centralized cloud provider is an architectural contradiction. DePIN protocols, relay networks, validator infrastructure, and decentralized coordination services all benefit from infrastructure that practices what the protocol preaches.
Systems with strict uptime requirements. When your SLA can't absorb a 15-hour outage caused by someone else's DNS bug, you need infrastructure where the failure domain is yours to control.
Privacy-sensitive workloads. Running on shared infrastructure means trusting that your provider's multi-tenancy isolation is airtight. For privacy-focused systems, bare metal eliminates an entire class of concerns about data locality, side-channel attacks, and provider-level access.
High-performance, latency-sensitive applications. No hypervisor overhead. No noisy neighbors. No shared network fabric. Bare metal gives you predictable performance characteristics that virtualized environments can't guarantee.
What We've Learned
Three years of operating bare-metal infrastructure for production decentralized networks has taught us a few things.
Owning your infrastructure is a form of sovereignty. In a world where three companies control the vast majority of global cloud compute, choosing to run your own hardware is a meaningful technical and organizational decision. It's not about rejecting the cloud. It's about being intentional about which dependencies you accept.
The cloud's convenience comes with hidden coupling. Every managed service you adopt is a dependency you can't control. When that dependency fails, your options are limited to waiting or executing a DNS failover that you probably haven't tested. After Cloudflare's November outage, organizations that failed over to their own infrastructure accepted the tradeoff of operating without CDN and bot management features. They'd made the implicit explicit.
Blast radius engineering matters more than uptime promises. Every major cloud provider promises high availability. The 2025 outages showed that those promises have limits. What matters more than a provider's SLA is your ability to bound the impact of failures, and that's an architectural decision, not a purchasing decision.