Disadvantages of MemoryDB Cluster
- It could be costly if we are setting up and running a MemoryDB cluster for a large deployments or high-availability setups.
- It is complex to manage because it is difficult to manage a multi-node MemoryDB cluster because it shows issues while configuration, scaling, monitoring, and troubleshooting for optimal performance and availability.
- It has the Limited Availability Zones so MemoryDB clusters may have restrictions and also they can span the potentially impacting fault tolerance.
- It has limited customization services so as a managed service, MemoryDB may not support advanced Redis configurations or extensions, limiting flexibility into some cases.
What Is Memory DB? Creating And Configuring MemoryDB Clusters
A Memory DB known as a “Memory Database” is a type of open-source data storage that is designed in such a way that it can perform the read and write operations very quickly. It is made for applications that need very high-speed data speed and low latency response. This MemoryDB is Durable in nature and was built for modern applications with microservices architectures.
A MemoryDB Cluster is made up of multiple nodes that are interconnected and distributed such that they share and manage the data very quickly. The use of the MemoryDB cluster has eliminated the need to separate and manage a cache and durable database.