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A Kubernetes data mobility, is the new game-changer

In reiterating a widely used saying, every company today is a tech business. Whether your business is creating computer chips or pulp, you're using technology, software, and IT infrastructures to bring your products to the market. The company's digital infrastructure has become an instrument for businesses to offer different products and services, making the digital transformation essential for staying in the game.

The transition of traditional IT, the traditional IT system, to cloud IT plays a vital role in the digital transformation process since it facilitates efficient use of resources and simplifies the process of reducing the cost and complexity. However, the reality is that despite all the benefits cloud technology can provide, however, for many businesses, it hasn't always lived up to the promises it makes. While the cloud has been the core of an organization's application and its systems, many organizations are now recognizing the flaws of a universal approach to cloud adoption.

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A business-centric strategy for cloud computing.

The cloud has taken over rapidly. A decade ago, many companies were only beginning to feel cloud adoption. They had a singular concentration on moving their apps to the cloud. Many companies have become single-sourced for cloud infrastructure and cloud services.

As the requirements increase, companies realize that a single-size-fits-all, sole provider model is no longer enough.

Enterprises require the ability to utilize resources from cloud services, private clouds, and edge data centers to enable IT to be more efficient, cut costs, improve flexibility, satisfy regulatory requirements, and provide superior service to their clients. The rising use of hybrid cloud and multi-cloud designs in IT infrastructure signifies this requirement.

However, for enterprises' cloud, it will be defined as the service provider for the cloud, whether it is the public cloud or the technology used by the company for their hybrid or private cloud. What is required is an enterprise-centric view of cloud computing, which includes a distributed pool of IT resources spread across private clouds, public cloud providers, or edge data centers that an enterprise can access, which gives them the flexibility to run applications whenever and wherever they'd like.

Kubernetes in all places as well as The Enterprise Cloud-- the Enterprise Cloud--

Containerization, as well as Kubernetes, is the key to achieving the cloud's vision. Kubernetes lets enterprises design and creates an identical software-defined IT environment specifically tailored to their needs, which can be used across various infrastructure silos and service cloud providers, including private and public clouds and even edge data centers.

Applications can run any place the Kubernetes-based cloud infrastructure is created. Applications do not need to be customized to run in a specific environment or cloud. Because of this revolutionary technology and it's not a surprise that Kubernetes has been gaining momentum within the business, and adoption has increased between 28 and 48% between 2018 and 2020 for enterprises, as per a study conducted by VMware.

The agility of IT demands the mobility of data. It is a requirement for data mobility.

To take advantage of cloud computing's full potential of cloud and achieve IT agility, applications must be mobile. Kubernetes, along with containers, has made it easier to transfer application code between cloud services and Kubernetes. But it's been more challenging to make the core data mobile. It is time to find a new method that makes persistent data as mobile as containerized applications to allow enterprises to profit fully from their cloud investments.

Solutions for storage in containers provide the storage and data management to be consistent across cloud silos and infrastructure providers. It's not enough to offer mobility for data. Data replication and migration technologies used today to copy or transfer persisting volumes between cloud providers and Kubernetes clusters can be extremely complicated and lengthy. They require planning upfront and frequently require substantial downtime.

What is needed is a technology that permits persistent data to be moved with the same speed as applications containers provide data mobility instantly. Since moving all the application data in a short amount of time is not feasible, and because the transfer of data between cloud storage is costly and costly, data mobility should allow the application to begin working immediately and prioritize the hot data against cold data and devise strategies to limit any data transferred.

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