Direct access to general MONIT dashboards
Examples of use of the MONIT infrastructure in CERN IT and WLCG Infrastructure
Services provided by MONIT
GRAFANAUse Grafana for plotting time series metrics from different datasources like Elasticsearch or InfluxDB. Go to MONIT-GRAFANA
TIMBERUse Timber to explore logs stored in Elasticsearch and interactive data discovery and plotting.(IT only) Go to MONIT-TIMBER
KIBANAUse Kibana to explore metrics stored in Elasticsearch and interactive data discovery and plotting. Go to MONIT-KIBANA
SWAN (Jupyter)Use Swan to generate more advanced reports and visualizations over HDFS with the help of Spark. Go to SWAN
Dataflow with 72h buffering based on Flume and Kafka. Secure data transport and storage.
Full adoption and contribution to established solution such as Collectd, Kafka, Spark and Grafana.
Data stored on InfluxDB, Elasticsearch and HDFS, accessibile via Grafana, Kibana and Swan (Jupyter).
There are mulitple ways to set new data sources for metrics and logs (AMQ, AVRO, HTTP, etc.).
All data, metrics and logs, can be quickly displayed or searched via Grafana and Kibana or prgrammatically.
Data for analytics is programmatically available, in Spark or Python, on historical data up to 5 years.