Persistent Storage Architecture
Persistent storage architecture consists of three approaches. Each approach has a unique use cases as well as the imitations. Below are the three storage approaches of Persistent storage architecture:
1. Object Persistent Architecture
The object persistent architecture stores the data as object or a key value database. This approach makes use of object relational mapping (ORM). Object persistent architecture approach is used when data does not have any defined schema for it the object. Object relational mapping (ORM) then handles its overall storage and the retrieval of data.
2. Block Persistent Architecture
Block persistent architecture is used for storing large files blocks. Persistent architecture makes use of block level storage devices. Using block persistent architecture is beneficial when we need to store large amount of data. These approach makes use of multiple blocks that helps to increase the overall storage capacity
3. File store Persistent Architecture
File store persistent architecture makes use of a file system for storing the data. File store persistent architecture approach is mostly useful for the applications that requires frequent retrieval of files and when the user needs an interface for managing them.
What is Persistent Storage?
Any data storage system that keeps data after its power is turned off is said to be using persistent storage. It’s also known as nonvolatile storage at times. Persistent storage in the context of containerization refers to storage volumes that are accessible after a container has stopped running. These volumes are typically connected to stateful applications like databases. Ephemeral storage volumes, which are linked to stateless apps that live and die with containers, can be contrasted with persistent storage volumes.