An effective cloud strategy requires a clearly defined desired outcome, which is often missing in large enterprises that migrate without a clear purpose.
The evolution from excessive XML in early Java EE to YAML and JSON in modern cloud tools shows a recurring pattern of complex, verbose configuration.
Many common expectations for public clouds, such as automatic scalability, low cost, and ease of use, are often fallacies for typical enterprise applications.
Kubernetes should be viewed as a platform for building other platforms, similar to an operating system, rather than a direct application endpoint.
Services like Payara Cloud act as a cloud orchestrator, managing Kubernetes behind the scenes to simplify deployment to just uploading a WAR file.
The "lift and shift" approach provides little value, and the per-resource cost model of clouds makes microservice overhead expensive, favoring monoliths for efficiency.
Cloud's pay-per-use model forces developers to make architectural choices based on monthly costs, impacting everything from API calls to storage selection.
A practical cloud strategy involves automating deployments, keeping simple applications on-premise, and embracing serverless for its scalability and pay-per-use model.
The primary value of the cloud comes from specialized managed services like AI/ML, text extraction, and global CDNs that provide significant business value.
27:11Kevin Dubois & Daniel Oh
50:06Jens Happe
39:16Holly Cummins
44:05Markus Kett
37:55Adam Bien
24:13Rajalakshmi Srinivasan
26:34Billy Thompson
28:55Toma Puljak
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