New ask Hacker News story: AutoMQ: A Cloud-Native Kafka Alternative with 95% Cost Savings over Confluent
AutoMQ: A Cloud-Native Kafka Alternative with 95% Cost Savings over Confluent
3 by Honestsoul | 1 comments on Hacker News.
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?
3 by Honestsoul | 1 comments on Hacker News.
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?
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