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Instance Monitoring

Database On Demand instances are monitored by telegraf which is an agent that sends metrics to a DBOD InfluxDB instance. The monitoring is accessible through the Web Interface and will appear in a new window or tab of your browser, please be sure of that your browser is not blocking pop-ups:

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Accessing to Grafana will show automatically the real-time activity of the selected instance. It is possible to change adjust the time intervals in the upper right drop down menu of Grafana.

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By default, the new window will open a Grafana dashboard showing the Database Activity row unfolded and a set of different rows, showing other metrics, folded:

Each row contains different plots depicting different system, database, backups and storage metrics.

The different rows are distributed as follows:

System metrics (Mem,Load,CPU): shows memory and CPU metrics of the host at which the DBOD instance is running on.

System Metrics (Net, Disk IO): show network usage and Disk IO of the host at which the instance is running.

Database Process Metrics: shows real time and historical cpu and memory used by the database process.

Database Activity: shows different database process metrics like: deadlocks, Innodb Buffer Pool Usage, Number of connections, table activity, etc.

Database Replication Metrics: The plots shown in this row are only valid for replica instances. It shows the real time replication lag, the status of the replication threads and read_only mode among other metrics.

Database backups: show the status of the most recent backups taken for the instance. Clicking on the link "click for more info":

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It will open a new Kibana window or tab in your browser were you can see more detailed logging information about the latest backups.

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NFS: Data Volume: all the DBOD instances have their storage split in two different NFS volumes. This row shows a set of plots showing metrics like the data volume size and the data latencies of the data volume of the instance.

NFS: WAL Volume: shows a set of plots showing metrics like the WAL volume size and the WAL data latencies of the WAL volume of the instance.