mirror of
https://github.com/hanzoai/s3.git
synced 2026-11-03 03:07:41 +00:00
zooqueen
dd74d3e6d6
hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.
- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
"Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
(replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
keep their upstream import paths with zero churn. Internal identifiers and
import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
help/usage/flag strings, shell autocomplete program name, and the product name
in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
(e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
`cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
updated to ignore the `s3` build output.
107 lines
2.9 KiB
JSON
107 lines
2.9 KiB
JSON
{
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"dashboard": {
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"id": null,
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"title": "Kafka Client Load Test Dashboard",
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"tags": ["kafka", "loadtest", "seaweedfs"],
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"timezone": "browser",
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"panels": [
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{
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"id": 1,
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"title": "Messages Produced/Consumed",
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"type": "stat",
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"targets": [
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{
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"expr": "rate(kafka_loadtest_messages_produced_total[5m])",
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"legendFormat": "Produced/sec"
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},
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{
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"expr": "rate(kafka_loadtest_messages_consumed_total[5m])",
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"legendFormat": "Consumed/sec"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0}
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},
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{
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"id": 2,
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"title": "Message Latency",
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"type": "graph",
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"targets": [
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{
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"expr": "histogram_quantile(0.95, kafka_loadtest_message_latency_seconds)",
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"legendFormat": "95th percentile"
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},
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{
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"expr": "histogram_quantile(0.99, kafka_loadtest_message_latency_seconds)",
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"legendFormat": "99th percentile"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0}
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},
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{
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"id": 3,
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"title": "Error Rates",
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"type": "graph",
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"targets": [
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{
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"expr": "rate(kafka_loadtest_producer_errors_total[5m])",
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"legendFormat": "Producer Errors/sec"
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},
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{
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"expr": "rate(kafka_loadtest_consumer_errors_total[5m])",
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"legendFormat": "Consumer Errors/sec"
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}
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],
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"gridPos": {"h": 8, "w": 24, "x": 0, "y": 8}
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},
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{
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"id": 4,
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"title": "Throughput (MB/s)",
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"type": "graph",
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"targets": [
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{
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"expr": "rate(kafka_loadtest_bytes_produced_total[5m]) / 1024 / 1024",
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"legendFormat": "Produced MB/s"
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},
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{
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"expr": "rate(kafka_loadtest_bytes_consumed_total[5m]) / 1024 / 1024",
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"legendFormat": "Consumed MB/s"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16}
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},
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{
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"id": 5,
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"title": "Active Clients",
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"type": "stat",
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"targets": [
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{
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"expr": "kafka_loadtest_active_producers",
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"legendFormat": "Producers"
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},
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{
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"expr": "kafka_loadtest_active_consumers",
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"legendFormat": "Consumers"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16}
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},
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{
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"id": 6,
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"title": "Consumer Lag",
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"type": "graph",
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"targets": [
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{
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"expr": "kafka_loadtest_consumer_lag_messages",
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"legendFormat": "{{consumer_group}}-{{topic}}-{{partition}}"
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}
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],
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"gridPos": {"h": 8, "w": 24, "x": 0, "y": 24}
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}
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],
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"time": {"from": "now-30m", "to": "now"},
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"refresh": "5s",
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"schemaVersion": 16,
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"version": 0
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}
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}
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