Introducing the Resume API v2

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The need to process larger quantities of data has been a growing concern and necessity within our community. For the last few releases we have been working to create mechanisms to simplify how our users can consume data at scale. Although Camel is no stranger to consuming data at scale, recent trends in computing and systems architecture introduce the need for behaviors that improve agility, speed and scalability when doing so.

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CAMEL

Good bye camel-testcontainers! Hello Camel's test-infra

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For Camel 3.16.0 we are removing the deprecated container-based test modules and replacing them with a new set of modules called Camel test-infra. They continue to support container-based tests via TestContainers, however they abstract the underlying test infrastructure. One of the great benefits for our project is that they allow us to more easily switch from container-based tests, to external instances. Previously, we would need to create a new test or implement a more complex design if we wanted to test both a container instance and an external service instance (i.

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CAMEL

Camel meets KEDA

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NOTE: this post has first appeared in the author’s blog. KEDA (Kubernetes Event Driven Autoscalers) is a fantastic project (currently CNCF incubating) that provides Kubernetes-based autoscalers to help applications to scale out according to the number of incoming events when they are listening to several kinds of event sources. In Camel K we’ve long supported Knative for providing a similar functionality for integrations that are triggered by HTTP calls, so supporting KEDA was something planned since long time, because it enables full autoscaling from a wider collection of sources.

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CAMEL K