Kubernetes, KumuluzEE, MicroProfile and Clouds

airhacks.fm podcast with adam bien - Een podcast door Adam Bien

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An airhacks.fm conversation with Prof. dr. Matjaz Juric (@matjazbj) about: about KumuluzEE and the Duke Choice award, SOA had its problems, jetty is the core of KumuluzEE, Java EE fans building a lightweight runtime environment, JavaOne rejection, then winning the Duke Choice Award in 2015, KumuluzEE started with exploded deployments, KumuluzEE supported parts of Jakarta EE and fully MicroProfile from the beginning, now KumuluzEE support MicroProfile 3.3, KumuluzEE created an own configuration framework before MicroProfile, KumuluzEE supports etcd and consul, live configuration updates are supported, KumuluzEE listens to etcd changes, layered configuration approach is supported, KumuluzEE implements some MicroProfile APIs, KumuluzEE is one of the fastest runtime, quarkus is the main contender, event streaming and GraphQL are the most interesting KumuluzEE features, JPA-RS: JAX-RS mapping to EclipseLink / JPA, kumuluzee-rest is similar to JPA-RS, Remote Procedure Call (RPC) is supported with kumuluzee-rpc module, RMI over gRPC, sending classes over the wire is no more supported, Apache Johnzon supports Java Record to JSON serialization, MarshalledObject is great for agent implementation, feature flags are a semantic extension of configuration, KumuluzEE support feature flags with the kumuluzee-feature-flags module, flagr provides feature flagging, kubernetes with istio makes dynamic JAX-RS endpoint obsolete, automation of canary release deployments, KumuluzEE translates specific DSL configuration to istio configuration, kumuluzee-fault-tolerance is MicroProfile compatible, kumuluzee-logs sends logs to various logging frameworks and drivers, energy trading with decentralised blockchain approach like ethereum, episode 145 with Kevin Wittek about ethereum, KumuluzEE is opensource, Kumuluz Platform adds additional features, the larger the module, the lower the overhead in the clouds, Java should not compete with Python and Javascript, Prof. dr. Matjaz Juric on twitter: @matjazbj and at University of Ljubljana

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