Monitoring MapR With ELK

Mathieu Dumoulin shows how to feed MapR metrics into ElasticSearch and monitor with Kibana:

There are several ways to keep the data updated: a cron job, a linux daemon running as a service, or a stream tool such as Streamsets.

The easiest way might be to run the task as a cron job with an interval of one to thirty seconds depending on monitoring needs. This may be suitable for a proof of concept or a small test cluster or even a production cluster. The main drawback of using a cron is that the control over the execution is limited to running the script and resources aren’t shared, meaning we are opening and closing a connection to Elasticsearch as well as doing the work to call the rest endpoint for each invocation.

Kibana makes for some pretty dashboards.

Related Posts

When tempdb Spills Attack

Josh Darnell ran into a problem with a SQL Agent job: One of my colleagues reached out to me recently about a production issue where a SQL Server Agent job had failed with this error message: Msg 1105, Level 17, State 2, Line 15Could not allocate space for object ‘dbo.SORT temporary run storage: 140737513062400’ in […]

Read More

Databricks Runtime 5.5

Bilal Aslam and Yifan Cao announce Databricks Runtime 5.5: Secrets API in R notebooksThe Databricks Secrets API [Azure|AWS] lets you inject secrets into notebooks without hardcoding them. As of Databricks Runtime 5.5, this API is available in R notebooks in addition to existing support for Python and Scala notebooks. You can use the dbutils.secrets.get function to obtain […]

Read More

Categories

May 2016
MTWTFSS
« Apr Jun »
 1
2345678
9101112131415
16171819202122
23242526272829
3031