Use Cases

IONOS DBaaS MariaDB is a flexible database engine that is a perfect fit for facilitating enterprise-level analytics and solutions to drive online web applications for both individual use and business purposes. Due to its open-source nature, improved performance and MySQL compatibility, it is liked by developers and companies alike.

Scenario 1: Data warehousing and analytics

Precondition

The price and overhead of managing voluminous data for businesses and individuals rise as the data increases.

Solution

MariaDB can be recommended for various instances where extensive data is stored and analyzed. Its high-availability environment ensures minimized downtime and continuous availability of data. Here are some scenarios where it can be implemented:

• Web Applications: MariaDB is highly scalable, provides fast and reliable data retrieval, and can support sudden spikes in traffic. Hence, it can be used for web applications as a backend database, because it can handle the data storage needs of a dynamic website or web application.

• Healthcare Systems: It is ideally suited for the secure and scalable storage and management of healthcare information, medical records, and patient data.

• E-commerce Organizations: With its ability to manage user accounts, transactional data, and product catalogs, it is an ideal match for e-commerce platforms. Its ACID compliance ensures integrity and data consistency.

Scenario 2: Corrupted data cluster

Precondition

Restoring data to its previous state manually can become a tedious and time-consuming task.

Solution

The self-restore feature for MariaDB in IONOS DBaaS can be beneficial in various use cases where data recovery or restoration to a specific point in time is necessary. You can restore a MariaDB cluster from the backup via the DCD or using the APIs. Here are some common use cases:

• Accidental Data Deletion: In situations where critical data is accidentally deleted from the MariaDB cluster, the self-restore feature enables you to roll back the cluster to a point before the deletion occurs, helping to recover lost data effectively.

• Data Corruption: If the MariaDB cluster experiences data corruption due to software issues or hardware failures, the self-restore feature allows you to restore the cluster to a consistent state before the corruption, ensuring data integrity and minimizing the impact of the corruption.

• Human Errors: Mistakes made during operations such as incorrect updates or changes can be resolved by using the self-restore feature to revert the cluster to a state where the errors did not exist, preventing potential data inconsistencies.

• Security Incidents: In the event of a security breach or unauthorized access that compromises the MariaDB cluster, the self-restore feature can be used to restore the cluster to a secure state before the security incident occurred, protecting sensitive data.

• Testing and Development: The self-restore feature can also be useful for testing and development purposes. Developers can create snapshots of the database at different points in time and use the self-restore feature to easily revert to specific states for testing new features or debugging code.

• Compliance and Auditing: For regulatory compliance requirements or auditing purposes, the self-restore feature allows users to demonstrate the ability to restore data to a specific point in time, ensuring data retention policies and compliance standards are met.