Performance Monitoring
Programmatic Monitoring
Observability Tooling
VGS system performance can be programmatically monitored by customer SRE teams using a Prometheus API. More details on how to access VGS metrics can be found here.
Identifying Third-Party Status Codes
During an HTTP request, VGS will always set the HTTP response status code to the value returned by a third-party API. This means that if the third-party API responds with a 500 error, VGS will set the response code returned to the client to 500. In order to be sure that VGS is not the cause of the error, VGS appends a vgs-upstream-status-code to the response that is forwarded to the client. Using a combination of the HTTP status code in the response and the added header, customers can confidently narrow down which vendor is the source of an issue.
Monitoring in the VGS Dashboard
The Home section of the Dashboard provides you with useful information about the performance and health of your integration. You can witness the processing of proxy requests with real-time charts, review proxy errors.
Every metric goes with an appropriate legend and timeframe and is displayed for the current vault. The data is currently displayed for the last 30 minutes (by default). Use time range controls to change the time range. Currently, we provide the following common time ranges:
Realtime
10s
24 hours
10m
7 days
1h
30 days
4h
Metrics
Requests - number of requests made via VGS proxy
Upstream processing time - the time it took to get a response from upstream (in ms)
Proxy processing time - the time it took for the VGS proxy to process a request (in ms), excluding upstream processing time
Proxy response status codes - VGS HTTP proxy response status codes
Upstream response status codes - HTTP upstream response status codes
Record operations count - number of record operations: created, de-dupe, retrieve, re-alias, de-alias, delete
Failed reveal count - number of failed reveal records
Use the dashboard to monitor your requests. Keep an eye on your dashboard analytics. These analytics are a good source of data for troubleshooting requests.
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