Vault and Consul use the go-metrics package internally to export telemetry, and currently share some of its supported agent solutions as sinks: Available time-series monitoring solutions Examples: Consul, Nagios, Sensu, KeynoteĪll of these methods have their place in a comprehensive monitoring solution, but the focus here is on the capture and analysis of time-series telemetry metrics along with audit device log request and response data. Active health checks use active methods of connecting to the application and interacting with it to ensure it is responding.Examples: Splunk, Elasticsearch, SumoLogic Log analytics relates to capturing log streams from the system and the application, extracting useful signals from the data, and then further analyzing the results.Examples: Splunk, Grafana, CloudWatch, DataDog, Circonus Time-series telemetry data involves capturing metrics from the application, storing them in a special database or index, and analyzing trends in the data over time.There are 3 common approaches that you can use to monitor the health of an application like Vault. Vault Usage Metrics from Telemetry Dashboard.Storage Metrics from Telemetry Dashboard.Vault Operations Metrics from Telemetry Dashboard.Understanding metrics and audit device data.Available time-series monitoring solutions.Here, you will learn about important metrics to monitor, action steps for responding to anomalies with specific metrics. Using the Vault telemetry and audit device features in combination with metrics and log aggregation agents in concert with an analysis and monitoring solution can provide the necessary insight in Vault operations and usage. Vault provides rich operational telemetry metrics that can be consumed by popular solutions for monitoring and alerting on key operational conditions and audit devices for logging each Vault request and response.
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