Story

Apache Kafka is critical for real-time streaming, but its costs, especially with Confluent, can be prohibitive.

AutoMQ offers a fresh take: a cloud-native Kafka implementation that reduces costs by rethinking traditional architectures.

Preconditions for Comparison

Peak Throughput: 0.1 GB/s

Average Throughput: 0.01 GB/s

Monthly Data Transfer: 25,920 GB

Storage Volume: 2,592 GB

Architecture: Multi-AZ (AWS)

Data Retention: 3 Days

Key Cost Differences:

Confluent Total: $17,369/month

AutoMQ Total: $718/month (95.8% less) How?

Stateless Brokers: No shared-nothing overhead.

Shared Storage: Amazon S3 eliminates cross-AZ replication costs.

Elastic Scaling: Decouples compute and storage for efficiency.

Core Benefits: Massive cost savings: Compute (-94.7%), Network (-99%), Storage (-78.3%).

Simpler operations with cloud-native scaling.

Retains Kafka's core performance without heavy infrastructure.

For anyone working with Kafka: Is this a sustainable solution for cost reduction?

Would you consider migrating to a cloud-native Kafka setup like AutoMQ?