Kubernetes Operator

Extending Kafka connectivity with Apache Camel Kafka connectors

Extending Kafka connectivity with Apache Camel Kafka connectors

Apache Kafka is one of the most used pieces of software in modern application development because of its distributed nature, high throughput, and horizontal scalability. Every day more and more organizations are adopting Kafka as the central event bus for their event-driven architecture. As a result, more and more data flows through the cluster, making the connectivity requirements rise in priority for any backlog. For this reason, the Apache Camel community released the first iteration of Kafka Connect connectors for the purpose of easing the burden on development teams.

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Six reasons to love Camel K

Six reasons to love Camel K

Apache Camel K is a lightweight cloud-integration platform that runs natively on Kubernetes and, in particular, lets you automate your cloud configurations. Based on the famous Apache Camel, Camel K is designed and optimized for serverless and microservices architectures. In this article, I discuss six ways that Camel K transforms how developers work with Kubernetes, Red Hat OpenShift, and Knative on cloud platforms.

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Write a simple Kubernetes Operator in Java using the Fabric8 Kubernetes Client

Write a simple Kubernetes Operator in Java using the Fabric8 Kubernetes Client

Kubernetes is becoming much more than just a platform for running container workloads. Its API can be extended with application-specific Custom Resource Definitions(CRDs), and you can implement your own logic adapting your applications dynamically to changes in the cluster. In this article, we’ll be writing a simple Kubernetes Operator in Java using the Fabric8 Kubernetes Client

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Welcome Apache Kafka to the Kubernetes Era!

Welcome Apache Kafka to the Kubernetes Era!

We have pretty exciting news this week as Red Hat is announcing the General Availability of their Apache Kafka Kubernetes operator. Red Hat AMQ Streams delivers the mechanisms for managing Apache Kafka on top of OpenShift, our enterprise distribution for Kubernetes.

Everything started last May 2018 when David Ingham (@dingha) unveiled the Developer Preview as new addition to the Red Hat AMQ offering. Red Hat AMQ Streams focuses on running Apache Kafka on OpenShift. In the microservices world, where several components need to rely on a high throughput communication mechanism, Apache Kafka has made a name for itself for being a leading real-time, distributed messaging platform for building data pipelines and streaming applications.

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