🎯 Target Role / Context:
Senior Platform Engineer Interview · Event-Driven Architecture Track
Q: Developers wait 4 days for data engineering tickets to create Kafka topics and register Avro schemas, stalling event-driven microservices. How do you design an automated, self-service GitOps pipeline where developers declare topics and schemas in their repo with automated governance?
Architecting self-service Kafka topic and Avro/Protobuf schema creation using Strimzi KafkaTopic CRDs and GitOps validation.
#Platform Engineering #Kafka #Strimzi #GitOps #Kubernetes #Schema Registry #DevEx
🎙️ Candidate Opening & Architectural Context
"Manual ticket queues for event infrastructure stifle agility. By leveraging the Strimzi Operator's `KafkaTopic` CRDs and automated CI schema compatibility validation (Confluent/Apicurio), developers manage topics through declarative GitOps while the platform enforces retention and partition guardrails."
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🛠️ Production Runbook & Step-by-Step Resolution
1
Declare Topic Infrastructure via Strimzi KafkaTopic CRD
Developers add a `KafkaTopic` manifest directly to their microservice repository.
apiVersion: kafka.strimzi.io/v1beta2
kind: KafkaTopic
metadata:
name: orders.payment-processed.v1
namespace: kafka-cluster
labels:
strimzi.io/cluster: production-kafka
spec:
partitions: 12
replicas: 3
config:
retention.ms: 604800000 # 7 days
cleanup.policy: compact,delete
2
Enforce Topic Sizing and Naming Guardrails in CI
Run Conftest/OPA policies in PRs validating that partition counts do not exceed 24 without architecture approval, replication factor is strictly 3, and topic names follow the `domain.event-name.version` format.
# Conftest policy validation
package kafka.topics
deny[msg] {
input.spec.partitions > 24
msg := "Max partition limit for self-service topics is 24. Request architecture review for higher scale."
}Advertisement
3
Automate Schema Registry Compatibility Verification
Run the Schema Registry maven/gradle plugin in CI against the central schema registry, verifying backward and forward compatibility before merging.
Pro Tip: Event Governance: Never allow topic creation without registered schemas; breaking changes in shared event payloads impact downstream consumers instantly.
💡 The Senior SRE Gold Nugget (Key Architectural Takeaway)
"Enable self-service Kafka by combining Strimzi KafkaTopic CRDs in GitOps repos with CI-level OPA naming policies and schema compatibility gates."
⚡ 60-Second Elevator Pitch Talking Points
- Use Strimzi Kubernetes CRDs to manage Kafka topics declaratively via GitOps.
- Implement Conftest policies enforcing standardized naming conventions and bounded partition counts.
- Enforce automated schema compatibility checks in pull request checks before merging.
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