Independent · Multi-Cloud · Continuously Measured

The Definitive Source for Cloud Reliability Intelligence

Executive-grade visibility into how the hyperscalers really perform. We measure every customer-impacting outage across AWS, Azure and Google Cloud — then benchmark, attribute and project it.

Industry Stats · 2026 YTD

The numbers, measured not marketed

A continuously updated read on the three hyperscalers — uptime, incident volume, and where the downtime is coming from.

Tracked incidents YTD
147

across AWS · Azure · GCP

Aggregate downtime
708 min

11.8 hrs of impact

Blended availability
99.96%

3-provider weighted mean

Mean time to recovery
74 min

down 9% vs 2025

AWS
12% YoY

99.96%

rolling 12-month uptime

47

incidents YTD

214m

downtime YTD

Azure
8% YoY

99.94%

rolling 12-month uptime

61

incidents YTD

318m

downtime YTD

GCP
21% YoY

99.97%

rolling 12-month uptime

39

incidents YTD

176m

downtime YTD

Outages by root cause

  • Networking / DNS31%
  • Power & Hardware22%
  • Software Deploys19%
  • Capacity / Scaling16%
  • Configuration12%

Most significant incidents this year

Azure

Entra ID auth degradation across West Europe

Global auth · multi-region

3h 12m
AWS

us-east-1 DynamoDB elevated error rates

us-east-1 · API throttling

1h 47m
GCP

Cloud Load Balancing config rollback

us-central1 · networking

58m
Azure

Storage account latency spike, East US 2

East US 2 · storage

2h 05m
Trend Analysis

The full year, charted

Recorded actuals through June with a model-projected second half — the data spread behind our reliability call.

2026 Trend Analysis

Downtime trends, the full year in view

Monthly customer-impacting downtime per provider with a model-projected second half, plus the quarter-over-quarter picture across AWS, Azure and Google Cloud.

Monthly downtime, Jan–Dec 2026

AWSAzureGCP
JanFebMarAprMayJunJulAugSepOctNovDec

Shaded region (Jul–Dec) is model-projected from trailing run-rate.

Downtime by quarter

Stacked customer-impacting minutes, all providers.

322m
Q1
386m
Q2
374m
Q3 (proj.)
325m
Q4 (proj.)
AWSAzureGCP
Expert Contributors

Authored by people who run systems at scale

Our research is written and reviewed by reliability engineers, incident analysts and cloud economists — not a content desk.

“Availability is a promise. Reliability is a measurement. We exist to keep the two honest.”

Dr. Dana Mercer · Principal Reliability Analyst

DM

Dr. Dana Mercer

Principal Reliability Analyst

Distributed systems · SLA econometrics

JO

Julian Osei

Head of Incident Research

Post-mortem forensics · root-cause modeling

SR

Sofia Reyes

Cloud Economics Lead

FinOps · downtime cost attribution

KT

Kenji Tanaka

Resilience Architect

Multi-region failover · chaos engineering

Reliability intelligence, on the record

Track the hyperscalers the way the analysts do. Start with the 2026 annual report.