Preface
The emergence of Kubernetes as a standard platform for distributed computing has revolutionized the landscape of enterprise application development. Organizations and developers can now easily write and deploy applications with a cloud-native approach, scaling those deployments to meet the needs of them and their users. However, with that scale comes increasing complexity and a maintenance burden. In addition, the nature of distributed workloads exposes applications to increased potential points of failure, which can be costly and time-consuming to repair. While Kubernetes is a powerful platform on its own, it is not without its own challenges.
The Operator Framework has been developed specifically to address these pain points by defining ...
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