argocd-image-updater VS kafka-go

Use the ArgoCD image updater

We already have software agents in GitOps ecosystem that modify the state in git. Ie, the image updater in ArgoCD. It watches the docker registry. When it sees a new image, it updates git on a user's behalf.

If you are using ArgoCD you might be able to use this: https://argocd-image-updater.readthedocs.io/en/stable/

I just found this in my travels, I have only gone so far as reading the introduction but seems to be a fit? https://github.com/argoproj-labs/argocd-image-updater

I've used Keel and more recently ArgoCD Image Updater (Using ArgoCD to manage deployments).

https://argocd-image-updater.readthedocs.io/en/stable/ maybe?

Use the image updater

To answer your question you should promote docker images between environments. There are many ways to do this. Check https://argocd-image-updater.readthedocs.io/en/stable/ if you haven't seen it already.

For ArgoCD there’s argocd-image-updated, https://argocd-image-updater.readthedocs.io/en/stable/

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