Persistent Storage

Table of Contents


Persistent storage, a fundamental concept in computer systems, refers to the long term retention of data even when the computer is powered off. It plays a crucial role in preserving important information and enabling the smooth functioning of various devices and applications.
 Persistent Storage
Persistent Storage

What is Persistent Storage ?

Persistent storage encompasses any type of data storage device that retains its stored information even after power has been shut off. It is sometimes referred to as nonvolatile storage.
 Persistent Storage
Persistent Storage
Within containerization, persistent storage refers to dedicated storage volumes primarily used by stateful applications like databases. These volumes remain available even after individual containers have completed their life cycles. In contrast, ephemeral storage volumes are associated with stateless apps and cease to exist once their corresponding containers are terminated.
Persistent storage refers to any device used for storing data that retains its contents even when power is turned off. This type of storage is commonly known as non volatile material or media. Examples include magnetic media such as hard disk drives and tapes, as well as optical media like DVDs.
Storage systems can come in different forms, such as file storage, block storage or object storage. The fundamental requirement for any storage system is to ensure long term data retention. This holds true regardless of whether it’s a standalone hard drive, a networked storage solution or a cloud based storage facility.

Types of persistent storage

Persistent storage is designed to remain intact regardless of whether there are any active instances. It can be used to store data that needs to be reused, either by different instances or beyond the lifespan of a specific instance.
1.Containers – In the context of OpenStack, the object storage service (openstack swift) provides a distributed solution for storing various types of static data and binary objects, such as media files, large datasets and disk images. These objects are organized using containers. While the contents of a volume can only be accessed through instances, the objects within a container can be accessed through the object storage REST API. As a result, object storage can serve as a repository for almost any service in both public and private cloud environments.
2.Kubernetes – When it comes to Kubernetes, OpenShift is a platform as a service (PaaS) offering that revolves around Docker container packaging and utilizes Kubernetes for orchestrating deployments of containerized applications across a cluster. Previously, storage volumes had to be preprovisioned and manually registered as PersistentVolume (PV) objects before they could be utilized by an application. However, with StorageClass objects in place, it’s possible to specify a provisioner that creates storage volumes on demand for applications.

How do containers handle persistent storage?

Handle Persistent Storage
Handle Persistent Storage
PersistentVolume (PV)
PVs are cluster resources that exist independently of any specific pod. They represent the “physical” volume on the host machine where persistent data is stored. PersistentVolumes offer storage resources within a cluster, ensuring that the storage remains intact even when pods using them are restarted or replaced.


PersistentVolumeClaim (PVC)
A PersistentVolumeClaim (PVC) serves as a request for resources and acts like a claim ticket to access those resources. It asks the platform to create a PersistentVolume and connect it to pods through a PVC.
Trident is an integration with Kubernetes PersistentVolume (PV) framework, which offers a unified interface for provisioning storage from NetApp® ONTAP® and SolidFire® scale out storage systems. It operates as a highly available Kubernetes “deployment” and communicates with the API server to handle pod storage requests in the form of PersistentVolumeClaims (PVCs).
Persistent storage uses case
There are specific scenarios where persistent storage becomes necessary. While some functions like load balancing may not generate data that needs long term retention, others, such as a sales tax calculating function, produce data that must be maintained and shared within an application. To manage critical data that requires persistence, there are various methods available.
Data infrastructure management
One of the ways to achieve agility in managing data infrastructure is through automation. This enables IT ecosystems to keep up with rapid expansion and changes by leveraging multicloud environments, DevOps practices and virtualization technologies.
Continuous integration and continuous delivery
Continuous integration and continuous delivery (CI/CD) are two software development practices aimed at enhancing code quality and facilitating the speedy release and deployment of software updates. These approaches are often implemented in tandem to ensure the swift delivery of new features and bug fixes.
Migrating traditional applications into the cloud
When migrating traditional applications to the cloud, adopting the “lift and shift” approach can pave the way for IT modernization by transitioning to a more open and adaptable cloud architecture. Companies opt for lift and shift because of its tangible business advantages.


In today’s computing environment, persistent storage holds great significance as it ensures secure and accessible data storage over extended periods. Its role in maintaining data integrity and facilitating information accessibility is indispensable for seamless operation of digital systems and applications.

Additional FAQ

1.What is a persistent storage disk?
A persistent storage disk refers to a durable network storage device that allows your computer instances to access it like a physical disk on a desktop or server. The data stored on these disks is spread across multiple physical disks for added reliability.
2.What are the four basic functions of persistent storage?
When it comes to persistent storage, there are four fundamental functions; create, read, update and delete (known as CRUD) in computer programming. These operations form the basis of storing data in a lasting manner.
3.What is important about persistent data?
Persistent data holds great significance because it can be saved and recovered reliably, whether stored in flash memory or backed by regular memory. It provides assurance that changes made to the data will not be lost and that the information will remain accessible in the future. Depending on specific requirements, systems based on cloud or in memory technologies can qualify as persistent solutions.
4.What is the most persistent type of data storage?s
Solid state drives (SSDs) are considered one of the most reliable types of persistent data storage. They use integrated circuit assemblies to store data persistently, employing interconnected flash devices without any moving parts. This stationary nature makes them faster and more dependable compared to traditional hard disk drives (HDDs).
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