osbuild-composer VS ApacheKafka

Postgres can handle this well if you use pub/sub notification which is built-in. You can easily pick up jobs using a time-based where clause and it also scales well. There is no need to pull a complex library for this, here is a good example of such implementation.

I read through the following and I just wasn't sure if I wanted to spend time figuring out if it would work. https://github.com/osbuild/osbuild/issues/644 https://github.com/osbuild/osbuild-composer/issues/1411

The change to hash by default just landed upstream: https://github.com/osbuild/osbuild-composer/pull/2834

Based on this upstream issue and this draft pull request, osbuild-composer just doesn't support CentOS yet. To help indicate demand for this feature to the maintainers of that software, I suggest reproducing the error on CentOS Stream 8 and filing a bug as described here. Once the feature is implemented it will be available in CentOS Stream 8 first.

Senden an Kafka (d. h. Senden der Daten an Apache Kafka)

Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.

Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.

*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)

RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput.

Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.

also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.