Can I use this for Python-based microservices?

Absolutely. It features optimized integration patterns for confluent-kafka-python, including delivery reports, manual offset commits, and FastAPI lifespan management.

Is it suitable for high-compliance financial systems?

Yes, it focuses on high-durability patterns like 'acks=all', transactional producers, and exactly-once semantics required for mission-critical data processing.

Does this skill support ZooKeeper-less Kafka deployments?

Yes, it specifically includes patterns and configurations for Kafka KRaft mode, which simplifies architecture by removing the dependency on ZooKeeper.

How does it handle message schema evolution?

The skill provides comprehensive guidance on using Avro with the Confluent Schema Registry to ensure backward compatibility and robust data contracts.

Kafka & Strimzi Event-Driven Systems

Name: Kafka & Strimzi Event-Driven Systems
Author: panaversity

bypanaversity

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Deployment & DevOps

Builds and manages production-ready event-driven architectures using Apache Kafka and the Strimzi operator on Kubernetes.

About

This skill provides specialized expertise for architecting, deploying, and maintaining high-performance event-driven systems. It guides users through the complexities of running Apache Kafka on Kubernetes via the Strimzi operator, covering essential production patterns such as KRaft mode, exactly-once semantics (EOS), and transactional messaging. With support for Python-based clients using confluent-kafka-python and schema management via Avro/Schema Registry, this skill ensures that your microservices communicate reliably, maintain data integrity, and scale effectively within a cloud-native ecosystem.

Key Features

96 GitHub stars
Schema Registry integration for Avro event serialization
Custom Resource (CRD) management for KafkaTopics and KafkaUsers
Exactly-once semantics (EOS) and idempotent producer implementation
Kubernetes-native Kafka deployment using Strimzi and KRaft mode
Transactional event processing patterns for microservices

Use Cases

Architecting resilient event-driven microservices with FastAPI and Python
Deploying scalable Kafka clusters on Kubernetes with automated operator management
Implementing Change Data Capture (CDC) and Outbox patterns for data consistency

About

Key Features

96 GitHub stars
Schema Registry integration for Avro event serialization
Custom Resource (CRD) management for KafkaTopics and KafkaUsers
Exactly-once semantics (EOS) and idempotent producer implementation
Kubernetes-native Kafka deployment using Strimzi and KRaft mode
Transactional event processing patterns for microservices

Use Cases

Architecting resilient event-driven microservices with FastAPI and Python
Deploying scalable Kafka clusters on Kubernetes with automated operator management
Implementing Change Data Capture (CDC) and Outbox patterns for data consistency