docs VS ApacheKafka

amplication/docs

Amplication is a free and open-source tool designed for backend development. It expedites the creation of Node.js applications by automatically generating fully functional apps with all the boilerplate code - just add in your own business logic. It simplifies your development workflow and enhances productivity, allowing you to concentrate on your primary goal: crafting outstanding applications. Learn More here.

Amplication's documentation

Today we've reviewed multiple ways to add your custom logic to apps that Amplication generated. I hope you feel confident starting your next tech challenge with Amplication. If you have more questions or need more information - join our Discord channel, visit our docs, and read more of our excellent blog articles.

This has been just a quick overview of JWT. If you want the full picture check out the Amplication docs, and these other sites:

The docs have been updated (kinda), the PR just needs to be approved, and the react and angular tutorials should be fixed => https://github.com/amplication/docs/pull/193

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.