Version 0.1.0 · MIT licensed · unsigned development build · no telemetry · source on GitHub ↗
DEMO CLUSTER
TOPIC / ORDERS.V1
Messages
12 partitions3× replication0 under-replicated
{ "event": "order.accepted", "offset": 48291 }
{ "event": "order.shipped", "offset": 48292 }
{ "event": "order.delivered","offset": 48293 }
YOUR CLUSTERS STAY YOURS
Credentials are encrypted with the macOS keychain. Kafka traffic runs in the desktop process. No account, cloud relay, analytics, or telemetry.
WHAT SHIPS IN 0.1
Everything needed for the everyday Kafka investigation loop.
01
Explore
Filter brokers, topics, partitions, and consumer groups from one cluster tree.
02
Inspect
Fetch by offset or timestamp; search keys, values, and headers; view JSON, XML, text, or hex.
03
Diagnose
See committed and end offsets, per-partition lag, membership, assignments, and group state.
04
Operate
Produce events, import message batches, add partitions, edit topic configuration, and reset offsets.
05
Connect safely
Use TLS, mTLS, SASL PLAIN/SCRAM, or AWS MSK IAM while credentials remain protected locally.
06
Practice first
Explore a built-in demo cluster before connecting to infrastructure.
SEE IT IN ACTION
A clear view from message payload to consumer lag.
Captured from the shipping macOS build using OffsetDock's private, in-memory demo cluster.
01 · Inspect messagesSearch records, scan offsets, and inspect structured payloads without leaving the desktop.
02 · Diagnose lagCompare committed and end offsets across every partition.03 · Explore safelyStart with realistic sample data before connecting to a broker.
DOWNLOAD & VERIFY
Native builds for every desk.
OffsetDock 0.1.0 is available for macOS, Windows, and Linux as a free, unsigned development release. Choose the package that matches your operating system and processor.
Apple silicon: b0452e7f7c530a4882ec5fa7bdffab90293e85404f5ba8d6ab8b96c9fccc90b4 Intel: 8bcf11472ccf413366a7457bf650b62662acee8bbf6fe48218fb99daf0510f2d
Offset resets are guarded and limited to idle consumer groups.
A full demo adapter makes exploration useful without touching a real broker.
Secrets never cross into the sandboxed renderer.
NEXT ON THE DOCK
Schema Registry, Kafka Connect, ksqlDB, ACL authoring, richer health history, and explainable operational recommendations.
The first release focuses on the Kafka protocol operations we can test safely. The roadmap deliberately separates planned integrations from shipped capability.