![]() ![]() This particular requests is implemented by Artifactory Open Metrics: There is already a log analytics solution available for Prometheus integration. It would be nice to have the same for xray You can start using it now and open an issue for stats you would like to see for this exporter. My organization has Enterprise licenses and really needs this soonest. We have an Enterprise license and would be happy to have Prometheus support in the near future.Īny plan for this feature. the mount of http error code (40x, 50x).the most downloaded artifacts or packages.It would be also helpful to have some metrics or stats about the consumed Artifacts like: The actual added value of an Artifactory exporter is that it can also include application data like: However, that doesn't include useful Artifactory data to graph. I think we all know how to enable a jmx exporter (and we already use it). javaagent:/tmp/jmx_prometheus_javaagent-0.12.0.jar=9100:/tmp/jmx_exporter.yaml" Only the lag consumption dashboard is fed by an external exporter, which is embedded in the Grafana Agent for ease of use. It should be enough to update: /etc/opt/jfrog/artifactory/default to contain the following: Most of the dashboards rely on collecting data through a JMX exporter running alongside each instance of your Kafka components, as an agent. In the meantime this project might be of use: The official java_client code for prometheus can be found here: ![]() For this example, the JMX settings for a Docker container running locally might look like the following: KAFKAJMXPORT: 9101 KAFKAJMXHOSTNAME: localhost. Maybe you can partner with these projects as a starting point:Īnother customer (Veeva) also asked about this integration. To start JConsole, use the jconsole command, and connect to the Kafka process. While moving forward towards Kubernetes, it is mandatory to have a proper monitoring solution provided. Prometheus being the defacto tool for traceability, is there any plan to actually provide that capability? Prometheus is part of CNCF and is the standard for monitoring purposes. It could be useful for users using Prometheus as monitoring and alerting system. The applicative metrics is expected to have some statistics, sizing, timing of processes that artifactory could share with users - to use them to create visualized dashboards and setup alerts based on those metrics. Prometheus exporter Java monitoring with sfKubeAgent In this option, the Java application should be run with Jolokia agent and sfKubeAgent running as a sidecar container and fetches metrics via Jolokia port. Need to create an endpoint that exposes Artifactory applicative metrics to prometheus Java applications running in Kubernetes can be monitored in SnappyFlow using two approaches: sfKubeAgent as sidecar container. Leverage integrations autodiscovery annotations or use Autodiscovery Container Identifiers to collect your JMX-applications metrics from your pods in.
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