Personal tools
Skip to content. | Skip to navigation
Usage: prometheus-cli [flags] query <expression> prometheus-cli [flags] query_range <expression> <end_timestamp> <range_seconds> [<step_seconds>] prometheus-cli [flags] metrics Flags: -csv=true: Whether to format output as CSV -csvDelimiter=";": Single-character delimiter to use in CSV output -server="": URL of the Prometheus server to query -timeout=1m0s: Timeout to use when querying the Prometheus server
Exporter for Celery/Flower metrics, inspired by https://github.com/vooydzig/flower-prometheus-exporter
iPerf3 exporter is configured via command-line flags. To view all available command-line flags, run iperf3_exporter -h. The timeout of each probe is automatically determined from the scrape_timeout in the Prometheus config. This can be also be limited by the iperf3.timeout command-line flag. If neither is specified, it defaults to 30 seconds. Prometheus Configuration The iPerf3 exporter needs to be passed the target as a parameter, this can be done with relabelling. Optional: pass the port that the target iperf3 server is lisenting on as the "port" parameter. Example config: scrape_configs: - job_name: 'iperf3' metrics_path: /probe static_configs: - targets: - foo.server - bar.server params: port: ['5201'] relabel_configs: - source_labels: [__address__] target_label: __param_target - source_labels: [__param_target] target_label: instance - target_label: __address__ replacement: 127.0.0.1:5201 # The iPerf3 exporter's real hostname:port.
A Prometheus metrics exporter for LDAP. This exporter allows for configurable tree attributes to be exposed as prometheus metrics, and bundles a set of useful metrics for LDAP backends it knows of (currently this is just 389 Directory Server).
Features MongoDB Server Status metrics (cursors, operations, indexes, storage, etc) MongoDB Replica Set metrics (members, ping, replication lag, etc) MongoDB Replication Oplog metrics (size, length in time, etc) MongoDB Sharding metrics (shards, chunks, db/collections, balancer operations) MongoDB RocksDB storage-engine metrics (levels, compactions, cache usage, i/o rates, etc) MongoDB WiredTiger storage-engine metrics (cache, blockmanger, tickets, etc) MongoDB Top Metrics per collection (writeLock, readLock, query, etc*)