https://status.openstatus.dev/
uptime
100%
fails
0#
last ping
8minutes ago
total pings
4,894#
p50
2,471ms
p75
3,185ms
p90
3,470ms
p95
3,649ms
p99
4,035ms
Metrics calculated from the Last day over all the regions and compared with the previous period.
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| Region | Trend | |||
|---|---|---|---|---|
Amsterdam, Netherlands 🇳🇱 ams | 952ms | 2,099ms | 2,331ms | |
Stockholm, Sweden 🇸🇪 arn | 1,965ms | 3,430ms | 3,535ms | |
Atlanta, Georgia, USA 🇺🇸 atl | 2,741ms | 3,648ms | 3,816ms | |
Bogotá, Colombia 🇨🇴 bog | 3,104ms | 3,604ms | 3,785ms | |
Mumbai, India 🇮🇳 bom | 1,948ms | 3,722ms | 4,015ms | |
Boston, Massachusetts, USA 🇺🇸 bos | 2,597ms | 3,553ms | 4,048ms | |
Paris, France 🇫🇷 cdg | 1,752ms | 3,465ms | 3,717ms | |
Denver, Colorado, USA 🇺🇸 den | 2,878ms | 3,875ms | 4,134ms | |
Dallas, Texas, USA 🇺🇸 dfw | 2,792ms | 3,577ms | 3,815ms | |
Secaucus, New Jersey, USA 🇺🇸 ewr | 2,772ms | 3,649ms | 3,961ms | |
Ezeiza, Argentina 🇦🇷 eze | 3,026ms | 3,492ms | 3,700ms | |
Frankfurt, Germany 🇩🇪 fra | 1,492ms | 3,434ms | 3,807ms | |
Guadalajara, Mexico 🇲🇽 gdl | 3,157ms | 3,860ms | 4,247ms | |
Rio de Janeiro, Brazil 🇧🇷 gig | 3,029ms | 3,696ms | 4,021ms | |
Sao Paulo, Brazil 🇧🇷 gru | 2,807ms | 3,815ms | 4,085ms | |
Hong Kong, Hong Kong 🇭🇰 hkg | 2,098ms | 3,627ms | 3,832ms | |
Ashburn, Virginia, USA 🇺🇸 iad | 1,187ms | 2,819ms | 3,457ms | |
Johannesburg, South Africa 🇿🇦 jnb | 1,930ms | 3,675ms | 4,004ms | |
Los Angeles, California, USA 🇺🇸 lax | 2,767ms | 3,543ms | 3,982ms | |
London, United Kingdom 🇬🇧 lhr | 1,631ms | 3,428ms | 4,121ms | |
Madrid, Spain 🇪🇸 mad | 1,902ms | 3,547ms | 3,836ms | |
Miami, Florida, USA 🇺🇸 mia | 2,766ms | 3,644ms | 3,958ms | |
Chicago, Illinois, USA 🇺🇸 ord | 2,824ms | 3,522ms | 3,999ms | |
Bucharest, Romania 🇷🇴 otp | 2,161ms | 3,564ms | 3,857ms | |
Phoenix, Arizona, USA 🇺🇸 phx | 2,874ms | 3,671ms | 4,006ms | |
Querétaro, Mexico 🇲🇽 qro | 3,108ms | 3,781ms | 4,011ms | |
Santiago, Chile 🇨🇱 scl | 3,138ms | 3,679ms | 3,950ms | |
San Jose, California, USA 🇺🇸 sjc | 2,718ms | 3,541ms | 4,017ms | |
Seattle, Washington, USA 🇺🇸 sea | 2,796ms | 3,532ms | 3,782ms | |
Singapore, Singapore 🇸🇬 sin | 2,047ms | 3,801ms | 4,044ms | |
Sydney, Australia 🇦🇺 syd | 2,900ms | 3,891ms | 4,376ms | |
Warsaw, Poland 🇵🇱 waw | 1,964ms | 3,659ms | 3,973ms | |
Montreal, Canada 🇨🇦 yul | 2,840ms | 3,609ms | 3,993ms | |
Toronto, Canada 🇨🇦 yyz | 2,878ms | 3,560ms | 3,757ms |