➡ The metric “mysql_global_status_innodb_buffer_pool_reads” shows the number of logical reads that InnoDB could not satisfy from the buffer pool and had to read directly from the disk Buffer pool metrics and other resource metrics are primarily useful for investigating performance issues. It uses an in-memory cache to optimize the disk read and write operations. MySQL InnoDB (default storage engine) uses an area of memory called the buffer pool to cache data for tables and indexes. ➡ The value provided will be the count of slow queries ➡ The metric key is “mysql_global_status_slow_query” The number of entries in this log can be consulted with the metric key below. Like many databases, MySQL keeps a log for these slow queries. Slow queries cause/indicate performance issues. ➡ The number should be calculated based on “mysql_global_variables_max_connections” which is the maximum number of connections configured ➡ The metric “ mysql_global_status_threads_connected” shows the total active connections on MySQL Therefore, it is important to monitor the number of connected clients. If all available connections are in use by other clients, the new clients trying to connect will encounter “ too many connections” errors when attempting to connect to the MySQL server. The permitted number of connections is controlled by the max_connections system variable. ➡ The value of the metric is a boolean - 1 or 0 which symbolizes if MySQL is up or down respectively (1 for yes, 0 for no) ➡ The key of the exporter metric is “mysql_up” This shows whether the last scrape of metrics from MySQL was able to connect to the server. The following ones are handpicked metrics that will provide insights into MySQL. Here you can see we have a matching label on the service monitor release = kps that we are specifying in the Prometheus operator scrapping configuration. Name: mysql-exporter-prometheus-mysql-exporter To enable service monitor run: helm install prometheus-community/prometheus-mysql-exporter -set serviceMonitor.enabled=true Code language: HTML, XML ( xml ) So with this, if you are modifying the default Prometheus operator configuration for service monitor scrapping, make sure you use the right labels in your service monitor as well.Īdd a service monitor and make sure it has a matching label and namespace for the Prometheus service monitor selectors (serviceMonitorNamespaceSelector & serviceMonitorSelector). Here you can see that this Prometheus configuration is selecting all the service monitors with the label release = kps To check your Prometheus configuration: Kubectl get prometheus -n -o yaml Code language: HTML, XML ( xml )Ī sample output will look like this. By default, the Prometheus operator comes with empty selectors which will select every service monitor available in the cluster for scrapping the data. Prometheus.io/scrape: "true" Code language: PHP ( php )Īdd/update Prometheus operator’s selectors. Replacement: $ 1:$ 2 Code language: PHP ( php ) Regex: true # prometheus.io/path: "/scrape/path" annotation. # Example relabel to scrape only endpoints that have # prometheus.io/scrape: "true" annotation. With this, Prometheus will automatically start scrapping the data from the services with the mentioned path. With this, a default scrap config can be added to the prometheus.yaml file and an annotation can be added to the exporter service. Add Prometheus scrape target (assuming same machine).This method is applicable for Kubernetes deployment only.Else, this is the number of queries that are not completing within the configured timeout. mssql_timeouts is "0" if all queries are running with the configured timeout.Else, this is the number of queries that throw exceptions. mssql_exceptions gauge is "0" if all queries run successfully.mssql_up gauge is "1" if the database is reachable.# HELP mssql_up mssql_up # TYPE mssql_up gauge # HELP mssql_deadlocks mssql_deadlocks # TYPE mssql_deadlocks gauge # HELP mssql_exceptions Number of queries throwing exceptions. # HELP mssql_timeouts Number of queries timing out. PROMETHEUS_MSSQL_Serilog_MinimumLevel=Information PROMETHEUS_MSSQL_AddExporterMetrics=false PROMETHEUS_MSSQL_ConfigFile=metrics.json PROMETHEUS_MSSQL_DataSource=Server=tcp:v,1433 Initial Catalog=master Persist Security Info=False User ID=sa Password=yourStrong(!)Password MultipleActiveResultSets=False Encrypt=False TrustServerCertificate=True Connection Timeout=10 Image: "danieloliver/mssql_exporter:latest " ports:
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