Case studies – self-healing databases in Kubernetes
Self-healing databases in Kubernetes bring together the resilience and scalability of Kubernetes with the reliability and data management capabilities of databases. By combining these technologies, organizations can achieve highly available and fault-tolerant database deployments. In this technical summary, we will explore case studies that showcase the implementation of self-healing databases in Kubernetes environments.
Case study 1 – MySQL Operator
The MySQL Operator is an example of a self-healing mechanism for MySQL databases in Kubernetes. It leverages the Kubernetes operator pattern to automate the management of MySQL deployments. The MySQL Operator monitors the health of MySQL pods and automatically performs recovery actions in case of failures.
When a pod fails, the MySQL Operator detects the failure through liveness probes and initiates the recovery process. It automatically creates a new pod to replace...
