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Kafka-compatible services like Warpstream and Bufstream have demonstrated up to 10× cost savings by writing directly to S3. Now, Apache Kafka is catching up with KIP-1150 (Diskless Topics), which proposes writing topic segments directly to object storage (e.g., S3) instead of SSDs.
This innovation allows Kafka users to reduce costs drastically without migrating to third-party services. Additionally, the KIP enables per-topic storage selection, letting users balance cost (S3) vs. performance (SSD).
🔗 Learn more about KIP-1150: https://fnf.dev/4juX8r1
Related KIPs:
- KIP-1163 (Implementation details)
- KIP-1165 (Performance optimizations)
- KIP-1164 (S3 integration specifics)
You Should Know: Kafka & S3 Integration Commands & Configurations
1. Setting Up Kafka with S3 (Hypothetical, Post-KIP-1150)
Once KIP-1150 is implemented, Kafka brokers may support S3 natively. Here’s how you might configure it:
Configure Kafka broker to use S3 for a topic bin/kafka-configs.sh --alter \ --entity-type topics \ --entity-name my-s3-topic \ --add-config storage.type=S3,s3.bucket.name=my-kafka-bucket
2. Verify Kafka Topic Storage Policy
bin/kafka-topics.sh --describe --topic my-s3-topic
Expected output:
Topic: my-s3-topic StorageType: S3 Bucket: my-kafka-bucket
- AWS S3 Permissions for Kafka (Pre-KIP Workaround)
If using Warpstream/Bufstream today, ensure Kafka has S3 write access:aws iam attach-role-policy \ --role-name kafka-role \ --policy-arn arn:aws:iam::aws:policy/AmazonS3FullAccess
4. Monitoring S3-Backed Kafka Topics
Use Prometheus + Grafana to track S3 latency:
Sample Prometheus config for Kafka-S3 metrics scrape_configs: - job_name: 'kafka_s3' static_configs: - targets: ['kafka-broker:7071']
5. Linux Performance Checks for Kafka
Check disk I/O (if still using SSDs for some topics) iotop -o Monitor network (S3 traffic) iftop -i eth0
- Benchmarking Kafka with S3 vs. Local Storage
Produce test messages bin/kafka-producer-perf-test.sh \ --topic my-s3-topic \ --num-records 100000 \ --record-size 1024 \ --throughput -1
What Undercode Say
KIP-1150 could revolutionize Kafka economics, making real-time data pipelines cheaper without sacrificing reliability. While waiting for its release:
– Test Warpstream/Bufstream for early S3-Kafka benefits.
– Monitor AWS MSK updates for native S3 integration.
– Optimize Kafka configs (log.segment.bytes, retention.ms) for cost efficiency.
For DevOps teams, mastering S3-backed Kafka will soon be critical. Start experimenting with S3 CLI commands:
List Kafka segments in S3 aws s3 ls s3://my-kafka-bucket/topics/my-s3-topic/ Delete old segments (manual retention) aws s3 rm s3://my-kafka-bucket/topics/my-s3-topic/ --recursive --exclude "latest"
Expected Output:
A cost-efficient Kafka deployment leveraging S3 for storage, reducing infrastructure expenses by 90%, while maintaining high throughput.
🔗 Reference: KIP-1150 Proposal
References:
Reported By: Theburningmonk Imagine – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
