December 20th, 2021
Kubernetes is a popular topic in the application architecture space and is based on containerization and scalability. Though more and more data professionals are gaining expertise in the subject, there is still a bit of a knowledge gap to fill, so it’s essential to set the story straight by clearly defining what it is and why companies and enterprises should consider it when building and developing their data platform. In this blog, we look at this emerging way of application architectures while keeping data platforms in mind.
First things first, let us define what Kubernetes is. Kubernetes is an open-source platform, meaning that it is a publically available platform that can be edited or designed to a user’s preference. Its open-source foundation makes Kubernetes a scaleable, portable, and extensible architecture specifically dealing with containerized workloads and services. With Kubernetes as the foundation of a data platform, its architecture allows the scalability necessary to manage numerous data applications and workloads at once to support a growing data ecosystem.
When it comes to the benefits of Kubernetes, the list is a long one, but the top two benefits of a data platform built on Kubernetes are its scalability and portability:
One important thing to consider when building a data platform on Kubernetes is the potential restrictions. Though Kubernetes provides flexibility to its users, companies who have built specific extensions on Kubernetes may face management challenges as requirements are continually changing and increasing as Kubernetes is utilized more and connected to different services, platforms applications, and cloud providers.
Kubernetes is very customizable, but companies need to decide what service and infrastructure will best manage their Kubernetes clusters because they are not all made equal. As mentioned at the beginning of this blog, there is a bit of a knowledge gap regarding Kubernetes. It is an involved architecture, and it requires a specific set of knowledge that people must understand to properly manage workloads and how applications are built and deployed on Kubernetes.
There can be a bit of a learning curve when it comes to implementing a data platform built on Kubernetes, so having the talent to successfully manage the project should be the number one priority. At Zaloni, this is an area where we have helped our customers with our Data Governance platform, Arena, alongside our data management experts. Arena, too, has that “plug and play” characteristic that makes it compatible with any existing platform, data environment (cloud, hybrid, or on-prem), application, or service. We are here to help by helping educate our customers and figuring out what works best for their current and future use cases and goals. Learn how Arena can help you build your data platform on Kubernetes, and don’t be afraid to reach out to our data experts for a customized demo.