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Roadmap

KafScale follows a milestone-based release process. This page summarizes what’s shipped, what’s in progress, and what’s planned.


Released (v1.0)

Core protocol

  • Kafka wire protocol parsing (17 APIs advertised)
  • Produce path (v0-9) with S3-backed durability
  • Fetch path (v11-13) with LRU caching and read-ahead
  • Metadata API (v0-12) with topic/partition discovery
  • ListOffsets (v0)

Consumer groups

  • FindCoordinator (v3)
  • JoinGroup, SyncGroup, Heartbeat, LeaveGroup (v4)
  • OffsetCommit (v3) and OffsetFetch (v5) with etcd persistence
  • DescribeGroups (v5) and ListGroups (v5) for ops visibility
  • OffsetForLeaderEpoch (v3) for consumer recovery

Admin APIs

  • CreateTopics (v0), DeleteTopics (v0)
  • CreatePartitions (v0-3)
  • DescribeConfigs (v4), AlterConfigs (v1)
  • DeleteGroups (v0-2)

Storage

  • S3 segment format with sparse indexes
  • Snappy, LZ4, ZSTD compression
  • etcd-based topic and partition management
  • Lifecycle-based retention via S3 policies

Operations

  • Kubernetes operator with CRDs (KafScaleCluster, KafScaleTopic)
  • Managed etcd with automated snapshots to S3
  • Prometheus metrics and Grafana dashboards
  • Structured JSON logging
  • S3 health state monitoring

Testing

  • End-to-end broker durability tests
  • Multi-segment restart recovery tests
  • Operator resilience tests
  • Admin API e2e coverage

Explicitly not planned

Some features are intentionally out of scope for KafScale. These are architectural decisions, not missing features.

Feature Reason
Transactions (EOS) Requires coordination complexity incompatible with stateless brokers
Compacted topics Requires stateful compaction process; use a database instead
Kafka replication protocols LeaderAndIsr, UpdateMetadata, etc. not needed with S3 as source of truth
Embedded stream processing Out of scope; use Flink, Wayang, Spark, or other external engines
Tiered storage S3 is already the primary tier; no local disk to tier from
Sub-10ms latency Fundamental S3 round-trip constraint; use Kafka or Redpanda
KRaft / ZooKeeper etcd is the metadata store; no Kafka controller needed

If your use case requires these features, KafScale may not be the right fit. See Comparison for alternatives.


How to request features

  1. Check GitHub Issues for existing requests
  2. Open a new issue with:
    • Your use case
    • Expected throughput and latency requirements
    • Operational constraints (cloud provider, compliance, etc.)
  3. Join the discussion in GitHub Discussions

We prioritize features based on community demand and alignment with KafScale’s core mission: simple, stateless, S3-native Kafka compatibility.


Release history

See GitHub Releases for full changelogs.