I recently encountered the need to aggregate CSV rows based on a cell containing an entity id. This is what the flow would look like when using a single instance of Camel : Now let’s see how it would flow when running integrations with Camel-K on Kubernetes : We can immediately spot the issue that … Continue reading Distributed Aggregate EIP on Kubernetes with Camel-K and Hazelcast In-Memory Data Grid
In the previous blog post, we defined more than one business logic in a single integration. There are multiple drawbacks to this type of approach : It makes the process synchronous, the last part of the Integration is sending CSV files to S3 one by one The Integration yaml definition is heavy It makes harder … Continue reading Decoupling your Camel K Enterprise Integrations with the Knative Event Mesh
Apache Camel is Java Framework which simplifies the life of developers when it comes to integration ( be it data or systems ). It is a fairly mature and robust project, heavily based on the Enterprise Integration Patterns and with a beautiful DSL. It also has a very wide (300+) list of ready connectors. The … Continue reading Taking Apache Camel for a ride on Kubernetes
Spring Cloud Function is a project which helps developers bring the power of Spring Boot features (auto-configure, metrics, ..) on Serverless platforms, but not only. More importantly, it abstracts all the details concerning the infrastructure, the transport and the provider. The following function : can be exposed as an http endpoint, a message consumer or … Continue reading An introduction to Spring Cloud Function
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