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The New Stack
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Scale Data Platforms With a Kubernetes-First Approach
- A data platform is the core of modern data-driven organizations, enabling the integration, management and analysis of data at scale.
- Kubernetes has become the key enabler of these architectures by efficiently orchestrating containers.
- Kubernetes operators make database management on Kubernetes a viable and even superior option.
- Legacy deployment of databases involves a manual, error-prone process, whereas Kubernetes offers automation and orchestration.
- Running data platforms inside Kubernetes offers advantages such as simplified deployment and unified management.
- Kubernetes’ self-healing capabilities make it possible for databases to recover from failures with no downtime.
- Operators enable organizations to build their own self-healing, automated data platforms and offer greater flexibility and cost savings.
- Kubernetes provides cloud portability and control over essential features such as automated scaling, backup and monitoring.
- Running databases on Kubernetes is not the right fit in every situation and requires careful assessment of the trade-offs.
- Kubernetes provides a more automated, cost-effective and future-proof solution for managing databases.
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