Platform engineering is the discipline of designing and building toolchains and workflows that enable self-service capabilities for software engineering organizations in the cloud-native era.

Platform Engineering

We've built something like this <https://github.com/zalando-nakadi/nakadi-ui> on top of <http://nakadi.io>

Super interesting abstraction with Nakadi! And very useful the Nakadi-UI! That's exactly what I'm searching for but directly consuming a Kafka Cluster. I was evaluating tools like Confluente Control Center or Lenses. Or even to create a personalized tool to cover all our needs.

Now also I was wondering something that covers event-driven architectures to know all about producers and consumers with Kafka, SQS, RabbitMQ or whatever. Maybe you Nakadi ends having this the total abstraction :slightly_smiling_face:

So far, we have only used Kafka as a messages store with our Nakadi and it complements our needs.

We've seen traffic load up to 2M messages per second, and this setup served us well, performance wise and cost wise as well.

In terms of elasticity, Nakadi supports this feature called Timelines, and we use this feature heavily to mitigate sudden increase in traffic load.

As for discoverability, we have also integrated Nakadi entities (Event types and subscriptions) on Sunrise (Zalandos developer portal, it is based on backstage)