Review Kafka Connect connector configurations for common misconfigurations using the Lenses MCP server.
Audit all Kafka topic configurations against production best practices using the Lenses MCP server. Checks replication factor, retention, partitions, compaction, naming…
Analyse Kafka consumer group lag using the Lenses MCP server. Diagnoses lag causes (throughput bottlenecks, rebalancing, partition skew, stalled consumers) and suggests…
Audit Kafka security configuration across the codebase and live cluster using the Lenses MCP server. Checks authentication (SASL), encryption (SSL/TLS), authorisation (ACLs),…
Review Kafka schema changes (Avro, Protobuf, JSON Schema) for compatibility and evolution best practices using the Lenses MCP server.
Review Kafka producer and consumer performance configurations in both the live cluster (via Lenses MCP) and the codebase.
Review dead letter queue implementations for completeness using the Lenses MCP server. Checks DLQ topic existence, configuration, monitoring, metadata preservation, retry logic,…
Scaffold a production-ready Python Kafka producer and consumer using `confluent-kafka-python`, with Schema Registry, graceful shutdown, idempotent producer, tests and a complete…