* What is it? MaxScale is a *proxy* for MariaDB databases. Imagine it as a middleman, sitting between your application and your actual MariaDB server(s). It handles connections, manages queries, and improves performance and scalability.
* Key Features:
* Connection Pooling: MaxScale can create a pool of connections to your MariaDB server(s), reducing the overhead of establishing new connections for each request.
* Query Routing: It can intelligently route queries to the best available server, balancing the load and maximizing performance.
* Read/Write Splitting: MaxScale can separate read operations from write operations, sending read requests to dedicated read-only servers to improve performance.
* Failover and High Availability: MaxScale can seamlessly switch to a backup server if the primary server becomes unavailable, ensuring your applications stay online.
* Monitoring and Auditing: It provides valuable metrics on your MariaDB cluster, helping you identify bottlenecks and optimize performance.
* Why Use MaxScale?
* Performance Boost: MaxScale can significantly improve query execution times, especially for complex queries.
* Scalability: It makes your MariaDB cluster more scalable, allowing you to handle increasing traffic and data volumes.
* High Availability: It provides a layer of redundancy, making your database cluster more resilient to failures.
MariaDB Spider Storage Engine
* What is it? Spider is a special storage engine for MariaDB. It lets you combine multiple MariaDB servers into a single logical view, making them appear as a single, large database to your applications.
* Key Features:
* Data Distribution: Spider splits your data across multiple MariaDB servers, ensuring data is distributed and accessible.
* Horizontal Scaling: Spider allows you to scale your database horizontally, adding more servers to handle increased workloads.
* Failover and High Availability: Similar to MaxScale, Spider provides automatic failover if a server becomes unavailable.
* Why Use Spider?
* Large Data Volumes: Spider is ideal for handling very large datasets that require more storage and processing power.
* Scalability: Spider lets you easily scale your database by adding more servers as your data grows.
* High Availability: It provides a higher level of redundancy and resilience, crucial for applications that require continuous uptime.