mirror of
https://github.com/hanzoai/s3.git
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zeekay
8f5d0b9333
Full internal rename — build-verified, every module green (root + s3-rdma-sidecar
+ telemetry/server + all test modules):
- Dirs: weed/→s3/ (main tree); cmd/weed-{db,sql}→cmd/s3-{db,sql};
seaweed-volume→s3-volume; seaweedfs-rdma-sidecar→s3-rdma-sidecar;
s3/mount/weedfs_*.go→s3fs_*.go (~113 path renames).
- Imports: github.com/hanzoai/s3/weed/ → /s3/ across 1700+ files.
- gRPC proto services Seaweed/SeaweedFiler/SeaweedMessaging/... → Hanzo*
(8 services) via full protoc regeneration (correct descriptors, no sed-corruption).
- Brand SeaweedFS/Seaweed/seaweed → Hanzo/hanzo; internal X-Seaweedfs-* headers
→ X-Hanzo-*; .seaweedfs config dir → .s3.
- CLI is `s3`: go install github.com/hanzoai/s3/s3@latest | make install | Docker.
install.sh rewritten as a Hanzo S3 installer.
- External forks github.com/seaweedfs/{raft,go-fuse,goexif,cockroachdb-parser}
kept verbatim — immutable third-party module paths; NOTICE retained.
Residual (cosmetic, non-build): kafka loadtest test-proto package com.seaweedfs.loadtest.
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", "hanzo"],
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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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