kafka-go VS Go-CQRS-Kafka-gRPC-Microservices

There are two main libraries that people use to write clients Confluent Kafka and segment io kafka

Unlike the standard scripts, and many binary clients, it's a native, statically-compiled, binary. It uses segmentio/go-kafka internally, which means CGO can be disabled during compilation.

Scaling up our producers/consumers proved to be more cost-effective than adding more CPU/brokers to the Kafka cluster. To accomplish this, we used the segmentio/kafka-go client library which provides an excellent abstraction for interacting with the cluster and will handle data compression completely transparently.

PostgeSQL as event store database Kafka as messages broker gRPC Go implementation of gRPC Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus MongoDB MongoDB database Elasticsearch Elasticsearch client for Go. Echo web framework Kibana Kibana is data visualization dashboard software for Elasticsearch Migrate for migrations

I want to announce the first release of a kafkagosaur, a new Kafka client. It's built using WebAssembly and binds to the kafka-go library. The first release includes functionality to read and write Kafka messages and SASL support.

Use the Segment Kafka library, not Sarama, it’s much easier to use https://github.com/segmentio/kafka-go

Kafaka - kafka-go, Debezium Outbox

Segment learned quite some time ago that librdkafka-go has problems like these (and doesn’t support Contexts either), so they wrote a pure Go replacement instead. https://github.com/segmentio/kafka-go

In this article let's try to create closer to real world CQRS microservices with tracing and monitoring using: 🚀 Kafka as messages broker gRPC Go implementation of gRPC PostgreSQL as database Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus MongoDB Web and API based SMTP testing Redis Type-safe Redis client for Golang swag Swagger for Go Echo web framework

More details and source code you can find here, of course in real-world applications, we have to implement many more necessary features, like circuit breaker, retries, rate limiters, etc., depends on project it can be implemented in different ways, for example you can use kubernetes and istio for some of them. I hope this article is usefully and helpfully, I'll be happy to receive any feedbacks or questions, feel free contact me by email or any messengers :)