Cloud-native technologies such as serverless functions and Kubernetes are, in a vacuum, complex new paradigms in which to build, deploy and manage applications. In practice, this inherent complexity is compounded in enterprise deployments where new code retains a reliance on or integration with existing business logic. Often this makes the prospect of gaining insight into applications dependent on a hodgepodge of new tools to capture and process information for cloud-native applications, while maintaining existing tooling for traditional applications.
Cloud-native technologies such as serverless functions and Kubernetes are, in a vacuum, complex new paradigms in which to build, deploy and manage applications. In practice, this inherent complexity is compounded in enterprise deployments where new code retains a reliance on or integration with existing business logic. Often this makes the prospect of gaining insight into applications dependent on a hodgepodge of new tools to capture and process information for cloud-native applications, while maintaining existing tooling for traditional applications.
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