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Article Series: Developing Apache Kafka applications on Kubernetes
Apache Kafka has integrations with most of the languages used these days, but in this article series, we cover its integration with Java. In this series, we also discuss how to provision, configure and secure an Apache Kafka cluster on a Kubernetes cluster.
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Moving Kafka and Debezium to Kubernetes Using Strimzi - the GitOps Way
Deploying an Apache Kafka cluster to a Kubernetes is not an easy task. There are a lot of pieces to configure like the zookeeper, the Kafka cluster, topics, and users. Strimzi is a Kubernetes controller making the deployment process of Kafka a child game. Moreover, Strimzi lets you manage Kafka using GitOps methodology as everything is executed using a Kubernetes YAML file.
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Debezium and Quarkus: Change Data Capture Patterns to Avoid Dual-Writes Problems
It’s common in microservices to write data in two places, a database and then send the content to another microservice. One approach to tackle this problem is dual writes, but you may lose data because of concurrent writes. Debezium is an open-source project for change data capture using the log scanner approach to avoid dual writes and communicate persisted data correctly between services.
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Turning Microservices Inside-Out
Turning microservices inside-out means moving past a single, request/response API to designing microservices with an inbound API for queries and commands, an outbound APIs to emit events, and a meta API to describe them both. A database can be supplemented with Apache Kafka via a connecting tissue such as Debezium.
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Saga Orchestration for Microservices Using the Outbox Pattern
The outbox pattern, implemented via change data capture, is a proven approach for addressing the concern of data exchange between microservices. The saga pattern, as demonstrated in this article, is useful for data updates that span multiple microservices.