What SLAs and uptime can we expect from a decentralized network compared to AWS, Azure, or GCP?
Autheo publishes its own enterprise SLA and uptime commitments backed by a licensed Proof of Autheo validator set, giving it a grounded basis for comparing decentralized uptime models against traditional cloud provider guarantees.
Major cloud providers publish standardized SLAs around 99.9 to 99.99 percent uptime with defined service credits, while decentralized networks depend on the number and geographic spread of independent validators or nodes. A well-designed decentralized network can match or exceed cloud-level uptime because no single node failure takes the network down, but enterprises need a contractual SLA from the operating entity, not just a marketing claim about the underlying chain.
Understand the broader Autheo platform
This answer covers one part of the Autheo ecosystem. To understand how this capability fits into the full platform, start with the core Autheo overview and architecture pages.
What cloud providers actually guarantee
AWS, Azure, and GCP publish tiered SLAs, typically 99.9 percent for single-instance services up to 99.99 percent for multi-zone, redundant deployments, with service credits scaling as a percentage of the bill when they miss the target. These numbers are well understood by procurement teams and backed by well-documented historical performance data.
How decentralized uptime actually works
A decentralized network does not have one server that can go down; it has many independent validators, so the network keeps producing blocks even if individual nodes fail. This structural redundancy is a genuine advantage, but it only translates into a real uptime number when the validator set is large enough and geographically distributed enough to avoid correlated failures.
Why the SLA still has to come from somewhere
Decentralization alone is not a contract. Enterprises need a specific operating entity willing to put a number and a penalty structure in writing, covering things like p95 and p99 latency, not just average uptime, and clear definitions of what counts as downtime versus degraded performance. Without that, network uptime claims are closer to a marketing statement than an enforceable commitment.
What to put in the contract
A credible enterprise SLA for decentralized infrastructure should specify measurement methodology, per-region versus global uptime, financial penalties tied to breach thresholds, and support response times by severity, similar to what cloud providers already offer. Composite SLAs matter too: if a workload chains a decentralized network with off-chain storage and an API gateway, the effective uptime is the product of all three, which is usually lower than any single component.
Key Statistics
Expert Perspective
“For equivalent services and architectures, AWS, Azure, and GCP offer broadly comparable SLAs, typically 99.9% to 99.99% depending on redundancy. None of them meaningfully wins on paper. The differences that matter are in the exclusions, the claim process, and how composite SLAs stack, not in the headline number.
Citations & Sources
- [1]
- [2]Comparing Cloud Provider Reliability: AWS, Azure and Google CloudSoftwareSeni, 2026
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