5 Reasons to Use Kubernetes for Your DataOps Projects

  • Service deployment and adjustment — k8s tends to label containers with individual names and addresses and is able to accommodate and align them. It enables consumers to avoid extra application modifying.
  • Storage Alternatives — Kubernetes makes it possible to allocate container applications in accordance to your choice: within a public/hybrid cloud or on-premises on local hardware.
  • Automatic Selection — The Kubernetes solutions are selective, i.e. respond to the needs of applications running at the moment. The system can spin up and down the specific nodes providing consistent apps operation and availability.
  • Recovery Mechanisms — The platform is highly self-sustainable in managing node failures and providing self-healing. If any disruption occurs, containers recover from a backup.
  • Constant Monitoring — Orchestrating large sets of data requires a continuous control of diverse processes within the container itself, in applications, logs and also the network. Kubernetes is reliable in analyzing reported files, detecting bottlenecks, tracking the network streams and automatically responding to any changes.

cloud-oriented open source

--

--

https://adimen.tech/ Transform your data into real value via iterative development and data analytics deployment solutions

Love podcasts or audiobooks? Learn on the go with our new app.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Adimen

Adimen

https://adimen.tech/ Transform your data into real value via iterative development and data analytics deployment solutions