Thursday , May 19 2022

Overcome the gravity of Kubernetes data and accelerate digital transformation



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The need for remote working solutions has given priority to moving to the cloud for some organizations this has meant choosing short-term or patched solutions thrown out of existing legacy technologies just to get through the crisis. However, IT experts recognize that the efficiency of applications in this new multi-cloud environment requires a redesign of their business applications from the ground up.

As dust begins to settle, many companies are looking for long-term solutions for cloud operations. Kubernetes, which virtualizes the cloud infrastructure, allowing users to control where their applications and data will live without restriction, is at the heart of most redevelopment strategies.

Why is new infrastructure needed?

Organizations are migrating to Kubernetes container applications to break locks, simplify IT management, increase IT agility, and reap the benefits of IoT, big data, and AI / ML. In fact, the adoption of Cubernetes among large companies has grown from 27% in 2018 to 48% in 2020. Gartner predicts that by 2022, more than 75% of global organizations will use container applications in manufacturing.

Where inherited technology and other solutions fail

Working in the cloud changes everything. Kubernetes is now the cloud operating system. Its powerful orchestration and automation require rethinking every element of cloud storage: security, storage, computing, application design, testing, deployment, and more. Almost everything that has been built in the last 50 years of a static, private IT data center must be called into question.

The cloud requires the rediscovery of basic systems built to store, protect, move, duplicate and distribute data. Here is one example: Kubernetes automates container operations, eliminating heavy and time-consuming manual processes that suit application development and scaling. This is all well and good, but Kubernetes has the ability to kill and restart any service – including nodes, containers, application instances, and even entire clusters. When the service is shut down, its data is lost. This was not a problem when Kubernetes supported stateless applications, but business applications are often with the status of, for example, transaction processing. Data loss here could be catastrophic. Fortunately, the storage solutions contained in the containers provide data consistency, ensuring that status data remains available even if the service that accesses them is restarted.

Mike Wall

But Cubernetes is another issue for company data. Applications move far more easily than data; applications are light and small compared to large databases and data languages. Moving large data warehouses requires time and bandwidth. And moving an application without supporting data is not productive; unlike applications, data transfer takes hours or days. This means that the agility promised by Kubenetes is lost. Yes, the adoption of Kubernetes is growing rapidly, but the weight of the data creates friction that delays its widespread acceptance for business applications.

What is needed is a platform for data services designed to support Kubernetes, one that is container-based and micro-service-based to give basic data freedom as much as new cloud applications already enjoy.

The promise of data mobility

Container data services enable businesses to take full advantage of cloud power for applications and data agility. This is a new data warehouse and management.

Today, data warehousing is being transformed so that it is now possible to store data by name rather than location, allowing data mobility without effort. Datasets of any size can be moved to any distance in seconds, not hours or days. Moreover, saving write time in this new metadata model allows data to be instantly restored to any previous time without complicated backups or snapshots. Users / developers simply request data at a specific location or at a specific time and it is delivered immediately. Some have equated this with finding a URL for business data.

Transformation on the horizon

As old applications are phased out, a new type of data infrastructure is needed in a world where Cubernetes has become the standard. Containers are partly attractive because they give organizations the ability to move anywhere, the dynamic flexibility and flexibility they need to use the vendors they want and to function well in the cloud.

However, cloud data management is profoundly different from data center data management. The tools and approaches used in the past are no longer relevant. Today’s new container-based data technologies will accelerate the transformation of your organization by transforming your data infrastructure from the ground up.


Written by Mike Wall.

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