I know that there is already the Databricks (technically Spark) integration for DataDog. Unfortunately, that integration only covers the cluster execution itself and that means only Cluster Metrics and Spark Jobs and Tasks. I'm looking for somethin...
Databricks has added new metrics to its control panel, replacing the outdated Ganglia tool. These new metrics allow users to monitor the following cluster performance metrics easily:- CPU utilization- Memory usage- Free filesystem space- Network traf...
Thank you for sharing @Hubert Dudek​ !!!
I am very new to Databricks, just setting up with things. I would like to explore various features of Databricks and start playing around with the environment.I am curious to know what are the metrics should be considered for monitoring the complete ...
Databricks is a powerful platform for data engineering, machine learning, and analytics, and it is important to monitor the performance and health of your Databricks environment to ensure that it is running smoothly.Here are a few key metrics that yo...
We have a spark streaming application written in Pyspark that we'd like to monitor with Datadog. By default, datadog collects a couple of streaming metrics like 'spark.structured_streaming.processing_rate' and 'spark.structured_streaming.latency'. Ho...
@Liz Zhang​ , Please refer to the below documentation contain pyspark implementation of streamingQueryListener https://www.databricks.com/blog/2022/05/27/how-to-monitor-streaming-queries-in-pyspark.html
While connecting the Databricks and Grafana, I have gone through the following approach.Install Grafna Agent in Databrics Clusters from Databricks console --> Not working since the system is not booted with systemd as init systemSince Spark 3 has Pro...
There is a repo with Prometheus gateway https://gist.github.com/Lowess/3a71792d2d09e38bf8f524644bbf8349. In the community, we usually use DataDog as both plays nicely https://docs.datadoghq.com/integrations/databricks/?tabs=driveronly
I would like to know if there is a way to keep track of my running streaming job.
Streaming metrics are available/exposed mainly through 3 ways:Streaming UI, which is available from Spark 3/DBR 7Streaming listener/Observable metrics APISpark driver logs. Search for the string "Streaming query made progress". The metrics are logged...
