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Cloud Foundry Korifi Update Enables Transformation to Cloud Native Workloads

Cloud Foundry Korifi Update Enables Transformation to Cloud Native Workloads

Cloud Foundry Foundation announced the latest release of Korifi, a Platform-as-a-Service (PaaS) that reduces much of the complexity of Kubernetes and greatly improves the application deployment experience.

The Foundation also announced a series of Korifi Tutorials to help developers get started with Korifi, as well as its Cloud Foundry Day event, taking place on June 21 in Heidelberg, Germany.

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Many organizations face challenges when using Kubernetes infrastructure to deploy their applications. Kubernetes is a powerful and flexible platform for managing containerized workloads, but it can be complex and difficult to manage for developers who are not familiar with its nuances. Korifi aims to simplify the deployment process for developers by providing a more streamlined and user-friendly interface on top of Kubernetes infrastructure.

“Having a golden path to production when using Kubernetes infrastructure is proving to be elusive or expensive,” said Chris Clark, program manager at Cloud Foundry. “Korifi changes that with an easy path for adoption on cloud platforms. Korifi is increasingly realizing parity with the Cloud Foundry developer experience and is more inclusive in its workflows and accommodating greenfield, as well as legacy deployment workflows.”

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Updates to Korifi in v.0.7.0 include the following.

  • Improved logging;
  • Labels and annotations are now supported on all resources;
  • Automatic clean up of unused resources;
  • Support for multiple apps in manifests.

Korifi’s fully open-source code base and community-driven approach ensure that adopters get complete transparency and agility. For system integrators and service providers, Korifi is an avenue to enable a cloud-native transformation for their Cloud Foundry customers and also introduce a new cloud-based product. Korifi takes care of infrastructure management so developers can focus on writing code.

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