The Hydrolix stack includes Prometheus, an open-source metrics database. While the Stack runs, Hydrolix continuously updates its Prometheus instance with metrics information. You can query, view, and actively monitor this information through the use of a stack's Grafana instance or you can access it via your own monitoring platform.

Using Prometheus directly

Prometheus has its own web-based UI, available by visiting https://YOUR-HYDROLIX-HOSTNAME/prometheus in your web browser.

This view is far more basic than Grafana's, suitable for quickly entering queries and seeing simple, graphed results. Hydrolix does make this feature available immediately, without any additional setup.

Merge metrics

Metric	Type	Purpose
`merge_duration_summary`	Summary	Merge processing duration, in milliseconds.
`merge_duration_histo_bucket/count/sum`	Histogram	Merge processing duration, in milliseconds.
`merge_success`	Counter	Count of merge successes.
`merge_failure`	Counter	Count of merge successes.
`query_count`	Counter	Merge calls to the Catalog.
`query_failure`	Counter	Merge failed Catalog calls.
`query_latency_summary`	Counter	Latency in calls to catalog.
`query_latency_summary_count/sum`	Counter	Latency in calls to catalog.

RabbitMQ

The following are suggested metrics to monitor your RabbitMQ service

Metric	Type	Purpose
`rabbitmq_queue_messages`	Counter	Sum of ready and unacknowledged messages (queue depth).
`rabbitmq_queues`	Counter	RabbitMQ Queues count.
`erlang_vm_statistics_bytes_received_total`	Counter	The total number of bytes received through RabbitMQ ports.
`erlang_vm_statistics_bytes_output_total`	Counter	The total number of bytes output through RabbitMQ ports.

Additional Metrics on can be found on the RabbitMQ Site