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https://github.com/percona/grafana-dashboards

PMM dashboards for database monitoring
https://github.com/percona/grafana-dashboards

grafana-dashboard hacktoberfest mongodb-monitoring mysql pmm

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PMM dashboards for database monitoring

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README 

        
## Grafana dashboards for efficient database monitoring



The list of featured dashboards:



- Advanced Data Exploration

- CPU Utilization Details

- Disk Details

- HAProxy Instance Summary

- Home Dashboard

- Memory Details

- MongoDB Cluster Summary

- MongoDB InMemory Details

- MongoDB Instance Summary

- MongoDB Instances Compare

- MongoDB Instances Overview

- MongoDB MMAPv1 Details

- MongoDB ReplSet Summary

- MongoDB WiredTiger Details

- MySQL Amazon Aurora Details

- MySQL Command Handler Counters Compare

- MySQL Group Replication Summary

- MySQL InnoDB Compression Details

- MySQL InnoDB Details

- MySQL Instance Summary

- MySQL Instances Compare

- MySQL Instances Overview

- MySQL MyISAM Aria Details

- MySQL MyRocks Details

- MySQL Performance Schema Details

- MySQL Query Response Time Details

- MySQL Replication Summary

- MySQL Table Details

- MySQL TokuDB Details

- MySQL User Details

- MySQL Wait Event Analyses Details

- NUMA Details

- Network Details

- Node Summary

- Node Temperature Details

- Nodes Compare

- Nodes Overview

- PXC Galera Cluster Summary

- PXC Galera Node Summary

- PXC Galera Nodes Compare

- PostgreSQL Instance Summary

- PostgreSQL Instances Compare

- PostgreSQL Instances Overview

- Processes Details

- Prometheus Exporter Status

- Prometheus Exporters Overview

- ProxySQL Instance Summary

- VictoriaMetrics

- VictoriaMetrics Agents Overview



These dashboards are part of [Percona Monitoring and Management](https://www.percona.com/doc/percona-monitoring-and-management/2.x/index.html).



See a live demonstration at .



## Reusing dashboards outside of PMM



Dashboards can be converted to be used on a dedicated prometheus instance.



Example:



- misc/convert-dash-from-PMM.py dashboards/Disk_Details.json



## AWS Setup page



Plase see the relevant [README.md](./setup-page/README.md).



## Contributing



We welcome contributions to this repository! Detailed information in [CONTRIBUTING.md](CONTRIBUTING.md)



## Submitting Bug Reports



If you find a bug in Percona Grafana Dashboards or one of the related projects, you can submit a bug report to that project's [JIRA](https://jira.percona.com) issue tracker.



Your first step should be [to search](https://jira.percona.com/issues/?jql=project%20%3D%20PMM%20AND%20component%20%3D%20%22Grafana%20Dashboards%22) the existing set of open tickets for a similar report. If you find that someone else has already reported your problem, then you can upvote that report to increase its visibility.



If there is no existing report, submit a report following these steps:



1. [Sign in to Percona JIRA.](https://jira.percona.com/login.jsp) You will need to create an account if you do not have one.

2. [Go to the Create Issue screen and select the relevant project.](https://jira.percona.com/secure/CreateIssueDetails!init.jspa?pid=11600&issuetype=1&priority=3&components=11307)

3. Fill in the fields of Summary, Description, Steps To Reproduce, and Affects Version to the best you can. If the bug corresponds to a crash, attach the stack trace from the logs.



An excellent resource is [Elika Etemad's article on filing good bug reports.](http://fantasai.inkedblade.net/style/talks/filing-good-bugs/).



As a general rule of thumb, please try to create bug reports that are:



- _Reproducible._ Include steps to reproduce the problem.

- _Specific._ Include as much detail as possible: which version, what environment, etc.

- _Unique._ Do not duplicate existing tickets.

- _Scoped to a Single Bug._ One bug per report.