This chart provides user-reported problems for Ravelin in the last 12 hours. It's a collection of user reports from different sources.
We continuously monitor the official Ravelin status page for updates on any ongoing outages. Check the stats for the latest 30 days and a list of the last Ravelin outages and possible affected you.
Minor Resolved · 2 months ago · lasted about 21 hours
We are currently experiencing connectivity issues with our Dashboard. Our engineers are working on a resolution to this issue. Please check here for further updates.
Minor Resolved · 7 months ago · lasted 38 minutes
We are investigating elevated error rates on the Ravelin API and Dashboard. This may be a result of the on-going GCP incident (https://status.cloud.google.com/incidents/fmEL9i2fArADKawkZAa2) and are in the process of confirming. We'll update in 30 minutes or sooner.
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Minor Resolved · about 1 year ago · lasted 4 months
We are seeing a slight increase in response times from our API This is affecting a very small number of requests We are investigating the cause More updates to follow
Minor Resolved · about 1 year ago · lasted 4 months
We're seeing elevated errors and we are investigating
We've spotted that something has gone wrong. We're currently investigating the issue, and will provide an update soon.
Minor Resolved · over 1 year ago · lasted 10 months
Increased timeouts and errors in the early evening
We had an incident early this evening that resulted in 500 error responses and timeouts on our API. We've identified that this was triggered by a change we made earlier in the day and have rolled back that change. We're still investigating the underlying cause and the extent of the impact.
Minor Resolved · over 1 year ago · lasted 11 months
500 Errors on fraud API
We are investigating errors on our fraud API.
Minor Resolved · almost 2 years ago · lasted 12 months
Elevated BigTable Error Rate
There was an elevated error rate on the API causing a spike in 500s between 1934 and 1938 BST and another beginning now. This appears to correlate with a spike in BigTable CPU usage which we are investigating.
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