The reason I've insisted on all jmx_exporter to have the same convention for metric name casing (lowercase ATM, same as Prometheus) is not just aesthetics but to make full use of Prometheus and its metric model. Rules and best practices for naming metrics. The most common option is to let Rails pick the name for database constraints and indexes or let PostgreSQL use the defaults (when applicable). Prometheus recommends recording timings in seconds (as this is technically a base unit), but records this value as a double. Contribute to prometheus/node_exporter development by creating an account on GitHub. Naming: Prometheus metrics names used by ProxySQL follow several conventions recommended by Prometheus style guide, and are also verified against promtool checker. Workqueue metrics that follow prometheus best practices and naming conventions. The old names are considered deprecated and will be removed in a future version of Synapse. In any internal Cortex component, do not register the metric to the default prometheus registerer, but pick the registerer in input (ie. etcd namespace metrics. NewComponent(reg prometheus.Registerer)) Testing metrics: When writing using tests, test exported metrics using testutil.GatherAndCompare() Config file and CLI flags conventions. For example, cortex_build_info is renamed as promlegacy.cortex_build_info . Other characters are converted to underscores. Constraints naming conventions Observations. Naming: Constraints naming conventions. What best practices are recommended for naming metrics and tags? Camel casing is also perfectly acceptable. Which will be translated to Prometheus naming conventions if using io.micrometer:micrometer-registry-prometheus: hikaricp_connections_active; hikaricp_connections_idle; It can be cumbersome when reusing or adapting dashboards like in Grafana. So instead of naming metrics based on the name of the workqueue, create metrics for workqueues that use name as a label. Can only contain ASCII alphanumerics, underscores, and periods. The naming of metrics follows the suggested Prometheus best practices. Metric names must start with a letter. Renaming of metrics & deprecation of old names in 1.2. Prometheus documentation: content and static site generator - prometheus/docs The appropriate base unit for timers does vary by metrics backend for good reason. Over time metrics will collect on your Prometheus Server and due to the nature and rate of the metrics being exposed we do not recommend sub-second scrapping_intervals. Also use the recommended base units. Synapse 1.2 updates the Prometheus metrics to match the naming convention of the upstream prometheus_client. The naming convention is promlegacy.< metrics > . spring-metrics employs a naming convention that separates words with '_'. A metric name has an etcd or etcd_debugging prefix as its namespace and a subsystem prefix (for example wal and etcdserver). The metrics under the etcd prefix are for monitoring and alerting. They are stable high level metrics. NOTE: We have improved some of the flag naming conventions (PR #1743). Currently: daemonset_depth gauge; daemonset_queue_latency summary (in milliseconds) daemonset_retries counter Datadog recommends certain best practices for naming metrics, tags, and services. Exporter for machine metrics. The legacy Prometheus metrics are available with the prefix promlegacy. value is the value to record; command is optional and is ‘overwrite’ by default. There are three fields you need to pass when you want to record metrics (via write* methods) key is the metric name and its label according to Prometheus data model and metric naming convention.
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