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Carlos Baquero Moreno discusses migrating from sequential to concurential programming using CRDTs.
A service mesh is only meant to be used as infrastructure for communication between services, and developers should not be building any business logic inside the service mesh. Other frameworks and libraries can be used to implement cloud native enterprise application integration patterns.
Marios Michailidis shares their approach on automating ML using H2O’s Driverless AI. Driverless AI employs the techniques of expert data scientists in an easy-to-use application that helps scale data science efforts; empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.
Companies that encourage open and honest feedback do better than companies that do not. Nonetheless, giving feedback is difficult because social and physical pain share some of the same neural circuitry. Hence, feedback can feel physically painful, as Sarah Hagan discusses in her 2018 QCon San Francisco talk . Hagan uses scientific research to demonstrate how to give feedback properly.
Service mesh architectures enable a control and observability loop. At the moment, service mesh implementations vary in regard to API and technology, and this shows no signs of slowing down. Building on top of volatile APIs can be hazardous. Here we suggest to use a simplified, workflow-friendly API to shield organization platform code from specific service-mesh implementation details.
Software Dev Conference
InfoQ Homepage JSR 203 Content on InfoQ
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