How to monitor a MySQL NDB cluster with Grafana

In an effort to enhance the monitoring of MySQL NDB clusters, the text outlines a method involving Grafana, InfluxDB, Loki, and various scripts and tools to efficiently track the performance and health of the system. The MySQL NDB platform, known for its complexity due to its multiple components including ndb_mgm, ndbd, and MySQL processes, poses significant monitoring challenges. Instead of relying solely on MySQL Enterprise Manager, the text suggests using Grafana for real-time monitoring, supported by the collection of data through scripts that poll MySQL API nodes and store metrics in InfluxDB, while logs are managed with Grafana Loki. The process includes setting up alerting systems using Grafana to notify administrators of potential issues in the cluster. The implementation involves utilizing tools like Telegraf for process monitoring and Promtail for log ingestion, ensuring that errors are detected promptly and that the system operates efficiently. This approach fosters a proactive stance in managing database clusters, offering a more automated and less maintenance-intensive solution than traditional methods.