Why Kubernetes has become an important tool in Data Science?

📌 Kubernetes, a container orchestration tool, holds significant value not just in software development but also in the realm of Data Science.

📌 Its impact on application creation and deployment has been profound since its inception, garnering substantial interest from Data Scientists.

📌 Kubernetes finds multiple applications in Data Science endeavors. For instance, it facilitates the deployment of models for real-time inference, streamlining the process of scaling applications to manage increased workloads.

👉 Check out our blog post that explains 𝐖𝐡𝐲 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐡𝐚𝐬 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐨𝐨𝐥 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 from here: https://k21academy.com/kubernetes85

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