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Rename folder and update config

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Jan Eitzinger 2024-11-29 11:30:52 +01:00
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8
README.md
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@ -3,9 +3,11 @@
This is a collection of overall ClusterCockpit configurations that are used in
production.
We are aware that the configuration of ClusterOCkcpit is currently tedious
We are aware that the configuration of ClusterCockpit is currently tedious
involving to edit many different files with partly redundant information.
Hopefully we can provide something simpler in the future.
Please note that the subcluster sections in the job archive cluster config files
can (and should) be generated with [this](https://github.com/ClusterCockpit/cc-backend/blob/master/configs/generate-subcluster.pl) provided perl skript.
Please note that the `subcluster` sections in the job archive cluster.json files
can (and should) be generated with
[this](https://github.com/ClusterCockpit/cc-backend/blob/master/configs/generate-subcluster.pl)
provided Perl script.

158
fau-systems/cc-backend/config.json
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@ -1,158 +0,0 @@
{
"addr": "0.0.0.0:443",
"stop-jobs-exceeding-walltime": 288000,
"ldap": {
"url": "ldaps://hpcldap.rrze.uni-erlangen.de",
"user_base": "ou=people,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"search_dn": "cn=hpcmonitoring,ou=roadm,ou=profile,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"user_bind": "uid={username},ou=people,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"user_filter": "(&(objectclass=posixAccount)(uid=*))",
"sync_interval": "24h"
},
"https-cert-file": "/etc/letsencrypt/live/monitoring.nhr.fau.de/fullchain.pem",
"https-key-file": "/etc/letsencrypt/live/monitoring.nhr.fau.de/privkey.pem",
"user": "clustercockpit",
"group": "clustercockpit",
"archive": {
"kind": "file",
"path": "./var/job-archive",
"compression": 7,
"retention": {
"policy": "none"
}
},
"clusters": [
{
"name": "fritz",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2022-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "alex",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2022-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "woody",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "tinyfat",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "tinygpu",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "meggie",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "XZY"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2018-01-01T00:00:00Z",
"to": null
}
}
}
]
}

180
fau-systems/cc-metric-store/config.json
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@ -1,180 +0,0 @@
{
"metrics": {
"clock": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_idle": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_iowait": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_irq": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_system": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_user": {
"frequency": 60,
"aggregation": "avg"
},
"nv_mem_util": {
"frequency": 60,
"aggregation": "avg"
},
"nv_temp": {
"frequency": 60,
"aggregation": "avg"
},
"nv_sm_clock": {
"frequency": 60,
"aggregation": "avg"
},
"acc_utilization": {
"frequency": 60,
"aggregation": "avg"
},
"acc_mem_used": {
"frequency": 60,
"aggregation": "sum"
},
"acc_power": {
"frequency": 60,
"aggregation": "sum"
},
"flops_any": {
"frequency": 60,
"aggregation": "sum"
},
"flops_dp": {
"frequency": 60,
"aggregation": "sum"
},
"flops_sp": {
"frequency": 60,
"aggregation": "sum"
},
"ib_recv": {
"frequency": 60,
"aggregation": "sum"
},
"ib_xmit": {
"frequency": 60,
"aggregation": "sum"
},
"ib_recv_pkts": {
"frequency": 60,
"aggregation": "sum"
},
"ib_xmit_pkts": {
"frequency": 60,
"aggregation": "sum"
},
"cpu_power": {
"frequency": 60,
"aggregation": "sum"
},
"core_power": {
"frequency": 60,
"aggregation": "sum"
},
"mem_power": {
"frequency": 60,
"aggregation": "sum"
},
"ipc": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_load": {
"frequency": 60,
"aggregation": null
},
"lustre_close": {
"frequency": 60,
"aggregation": null
},
"lustre_open": {
"frequency": 60,
"aggregation": null
},
"lustre_statfs": {
"frequency": 60,
"aggregation": null
},
"lustre_read_bytes": {
"frequency": 60,
"aggregation": null
},
"lustre_write_bytes": {
"frequency": 60,
"aggregation": null
},
"net_bw": {
"frequency": 60,
"aggregation": null
},
"file_bw": {
"frequency": 60,
"aggregation": null
},
"mem_bw": {
"frequency": 60,
"aggregation": "sum"
},
"mem_cached": {
"frequency": 60,
"aggregation": null
},
"mem_used": {
"frequency": 60,
"aggregation": null
},
"net_bytes_in": {
"frequency": 60,
"aggregation": null
},
"net_bytes_out": {
"frequency": 60,
"aggregation": null
},
"nfs4_read": {
"frequency": 60,
"aggregation": null
},
"nfs4_total": {
"frequency": 60,
"aggregation": null
},
"nfs4_write": {
"frequency": 60,
"aggregation": null
},
"vectorization_ratio": {
"frequency": 60,
"aggregation": "avg"
}
},
"checkpoints": {
"interval": "12h",
"directory": "/opt/monitoring/cc-metric-store/fritz/checkpoints",
"restore": "48h"
},
"archive": {
"interval": "50h",
"directory": "/opt/monitoring/cc-metric-store/fritz/archive"
},
"http-api": {
"address": "0.0.0.0:8082",
"https-cert-file": null,
"https-key-file": null
},
"retention-in-memory": "48h",
"jwt-public-key": "XZY"
}

484
fau-systems/job-archive/cluster-alex.json
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@ -1,484 +0,0 @@
{
"name": "alex",
"metricConfig": [
{
"name": "cpu_load",
"unit": {
"base": ""
},
"scope": "node",
"aggregation": "avg",
"timestep": 60,
"peak": 128,
"normal": 128,
"caution": 10,
"alert": 5
},
{
"name": "cpu_user",
"unit": {
"base": ""
},
"scope": "hwthread",
"aggregation": "avg",
"timestep": 60,
"peak": 100,
"normal": 50,
"caution": 20,
"alert": 10
},
{
"name": "mem_used",
"unit": {
"base": "B",
"prefix": "G"
},
"scope": "node",
"aggregation": "sum",
"timestep": 60,
"peak": 512,
"normal": 128,
"caution": 200,
"alert": 240
},
{
"name": "flops_any",
"unit": {
"base": "Flops/s",
"prefix": "G"
},
"scope": "hwthread",
"aggregation": "sum",
"timestep": 60,
"peak": 9216,
"normal": 1000,
"caution": 200,
"alert": 50
},
{
"name": "mem_bw",
"unit": {
"base": "B/s",
"prefix": "G"
},
"scope": "socket",
"aggregation": "sum",
"timestep": 60,
"peak": 350,
"normal": 100,
"caution": 50,
"alert": 10
},
{
"name": "clock",
"unit": {
"base": "Hz",
"prefix": "M"
},
"scope": "hwthread",
"aggregation": "avg",
"timestep": 60,
"peak": 3000,
"normal": 2400,
"caution": 1800,
"alert": 1200
},
{
"name": "core_power",
"unit": {
"base": "W"
},
"scope": "hwthread",
"aggregation": "sum",
"timestep": 60,
"peak": 500,
"normal": 250,
"caution": 100,
"alert": 50
},
{
"name": "acc_utilization",
"unit": {
"base": ""
},
"scope": "accelerator",
"aggregation": "avg",
"timestep": 60,
"peak": 100,
"normal": 80,
"caution": 50,
"alert": 20
},
{
"name": "acc_mem_used",
"unit": {
"base": "B",
"prefix": "G"
},
"scope": "accelerator",
"aggregation": "sum",
"timestep": 60,
"peak": 40,
"normal": 20,
"caution": 10,
"alert": 5
},
{
"name": "acc_power",
"unit": {
"base": "W"
},
"scope": "accelerator",
"aggregation": "sum",
"timestep": 60,
"peak": 400,
"normal": 200,
"caution": 50,
"alert": 20
},
{
"name": "nv_mem_util",
"unit": {
"base": ""
},
"scope": "accelerator",
"aggregation": "avg",
"timestep": 60,
"peak": 100,
"normal": 80,
"caution": 20,
"alert": 10
},
{
"name": "nv_temp",
"unit": {
"base": "°C"
},
"scope": "accelerator",
"aggregation": "avg",
"timestep": 60,
"peak": 40,
"normal": 20,
"caution": 5,
"alert": 2
},
{
"name": "nv_sm_clock",
"unit": {
"base": "Hz",
"prefix": "M"
},
"scope": "accelerator",
"aggregation": "avg",
"timestep": 60,
"peak": 1400,
"normal": 1200,
"caution": 100,
"alert": 50
},
{
"name": "cpu_power",
"unit": {
"base": "W"
},
"scope": "socket",
"aggregation": "sum",
"timestep": 60,
"peak": 500,
"normal": 250,
"caution": 100,
"alert": 50
},
{
"name": "ipc",
"unit": {
"base": "IPC"
},
"scope": "hwthread",
"aggregation": "avg",
"timestep": 60,
"peak": 4,
"normal": 2,
"caution": 1,
"alert": 0.5
}
],
"subClusters": [
{
"name": "a40",
"nodes": "a[0121-0129],a[0221-0229],a[0321-0329],a[0421-0429],a[0521-0522]",
"processorType": "AMD Milan",
"socketsPerNode": 2,
"coresPerSocket": 64,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 432
},
"flopRateSimd": {
"unit": {
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"prefix": "G"
},
"value": 9216
},
"memoryBandwidth": {
"unit": {
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},
"value": 400
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],
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],
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]
],
"memoryDomain": [
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],
"accelerators": [
{
"id": "00000000:01:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:25:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:41:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:61:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:81:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:A1:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:C1:00.0",
"type": "Nvidia GPU",
"model": "A40"
},
{
"id": "00000000:E1:00.0",
"type": "Nvidia GPU",
"model": "A40"
}
]
}
},
{
"name": "a100",
"nodes": "a[0601-0605],a[0701-0705],a[0801-0805],a[0901-0905]",
"processorType": "AMD Milan",
"socketsPerNode": 2,
"coresPerSocket": 64,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 432
},
"flopRateSimd": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 9216
},
"memoryBandwidth": {
"unit": {
"base": "B/s",
"prefix": "G"
},
"value": 400
},
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],
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[
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],
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]
],
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[
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]
],
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],
"accelerators": [
{
"id": "00000000:0E:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:13:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:49:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:4F:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:90:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:96:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:CC:00.0",
"type": "Nvidia GPU",
"model": "A100"
},
{
"id": "00000000:D1:00.0",
"type": "Nvidia GPU",
"model": "A100"
}
]
}
},
{
"name": "a100m80",
"nodes": "a[0531-0537],a[0631-0633],a0831,a[0931-0934]",
"processorType": "AMD Milan",
"socketsPerNode": 2,
"coresPerSocket": 64,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 432
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164
fau-systems/job-archive/cluster-emmy.json
View File

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540
fau-systems/job-archive/cluster-fritz.json
View File

@ -1,540 +0,0 @@
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243
fau-systems/job-archive/cluster-meggie.json
View File

@ -1,243 +0,0 @@
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466
fau-systems/job-archive/cluster-tinyfat.json
View File

@ -1,466 +0,0 @@
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621
fau-systems/job-archive/cluster-tinygpu.json
View File

@ -1,621 +0,0 @@
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}

415
fau-systems/job-archive/cluster-woody.json
View File

@ -1,415 +0,0 @@
{
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}
},
{
"name": "skylake",
"nodes": "w12[01-08],w13[01-31,33-56]",
"processorType": "Intel Xeon E3-1240 v5 ",
"socketsPerNode": 1,
"coresPerSocket": 4,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 14
},
"flopRateSimd": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 112
},
"memoryBandwidth": {
"unit": {
"base": "B/s",
"prefix": "G"
},
"value": 24
},
"topology": {
"node": [
0, 1, 2, 3
],
"socket": [
[ 0, 1, 2, 3 ]
],
"memoryDomain": [
[ 0, 1, 2, 3 ]
],
"core": [
[ 0 ], [ 1 ], [ 2 ], [ 3 ]
]
}
},
{
"name": "kabylake",
"nodes": "w14[01-56],w15[01-05,07-56]",
"processorType": "Intel Xeon E3-1240 v6",
"socketsPerNode": 1,
"coresPerSocket": 4,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 14
},
"flopRateSimd": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 112
},
"memoryBandwidth": {
"unit": {
"base": "B/s",
"prefix": "G"
},
"value": 24
},
"topology": {
"node": [
0, 1, 2, 3
],
"socket": [
[ 0, 1, 2, 3 ]
],
"memoryDomain": [
[ 0, 1, 2, 3 ]
],
"core": [
[ 0 ], [ 1 ], [ 2 ], [ 3 ]
]
}
},
{
"name": "icelake",
"nodes": "w22[01-35],w23[01-35]",
"processorType": "Intel Xeon Gold 6326",
"socketsPerNode": 2,
"coresPerSocket": 16,
"threadsPerCore": 1,
"flopRateScalar": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 432
},
"flopRateSimd": {
"unit": {
"base": "F/s",
"prefix": "G"
},
"value": 9216
},
"memoryBandwidth": {
"unit": {
"base": "B/s",
"prefix": "G"
},
"value": 350
},
"topology": {
"node": [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71
],
"socket": [
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ],
[ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ]
],
"memoryDomain": [
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ],
[ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ],
[ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ],
[ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ]
],
"core": [
[ 0 ], [ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ], [ 6 ], [ 7 ], [ 8 ], [ 9 ], [ 10 ], [ 11 ], [ 12 ], [ 13 ], [ 14 ], [ 15 ], [ 16 ], [ 17 ], [ 18 ], [ 19 ], [ 20 ], [ 21 ], [ 22 ], [ 23 ], [ 24 ], [ 25 ], [ 26 ], [ 27 ], [ 28 ], [ 29 ], [ 30 ], [ 31 ], [ 32 ], [ 33 ], [ 34 ], [ 35 ], [ 36 ], [ 37 ], [ 38 ], [ 39 ], [ 40 ], [ 41 ], [ 42 ], [ 43 ], [ 44 ], [ 45 ], [ 46 ], [ 47 ], [ 48 ], [ 49 ], [ 50 ], [ 51 ], [ 52 ], [ 53 ], [ 54 ], [ 55 ], [ 56 ], [ 57 ], [ 58 ], [ 59 ], [ 60 ], [ 61 ], [ 62 ], [ 63 ], [ 64 ], [ 65 ], [ 66 ], [ 67 ], [ 68 ], [ 69 ], [ 70 ], [ 71 ]
]
}
}
]
}

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@ -1,28 +1,34 @@
# ClusterCockpit at NHR@FAU
NHR@FAU provides a production instance of ClusterCockpit for support personel
NHR@FAU provides a production instance of ClusterCockpit for support personnel
and users. Authentication is via an LDAP directory as well as via our HPC Portal
(homegrown account management platform) using JWT tokens.
You can find an overview about all clusters
[here](https://hpc.fau.de/systems-services/documentation-instructions/).
[here](https://doc.nhr.fau.de/clusters/overview/).
Some systems run with exclusive nodes, others have node sharing enabled.
There are CPU systems (Fritz, Meggie, Woody, TinyuFat) as well as GPU enabled
clusters (Alex, TinyGPUs).
Some systems run with job exclusive nodes, others have node sharing enabled.
There are CPU systems (Fritz, Meggie, Woody, TinyFat) as well as GPU accelerated
clusters (Alex, TinyGPU).
NHR@FAU uses the following stack:
* `cc-metric-collector` as node agent
* `cc-metric-store` as temporal metric timeseries cache. We use one instance for all clusters.
* `cc-metric-store` as temporal metric time series cache. We use one instance
for all clusters.
* `cc-backend`
* A homegrown python script running on the management nodes for providing job meta data from Slurm
* Builtin sqlite database for job meta and user data (currently 11GB)
* A homegrown python script running on the management nodes for providing job
meta data from Slurm
* Builtin sqlite database for job meta and user data (currently 50GB large)
* Job Archive without retention using compressed data.json files (around 700GB)
Currently all API use regular HTTP protocol, but we plan to switch to NATS for
all communication.
We also push the metric data to an InfluxDB instance for debugging purposes.
The backend and metric store run on the same dedicated Dell server running
Ubuntu Linux:
* Two Intel Xeon(R) Platinum 8352Y with 32 cores each
* 512 GB Main memory capacity
* A NVMe Raid with two 7TB disks

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@ -1,6 +1,6 @@
[Unit]
Description=ClusterCockpit Web Server (Go edition)
Documentation=https://github.com/ClusterCockpit/cc-backend
Description=ClusterCockpit Web Server
Documentation=https://clustercockpit.org
Wants=network-online.target
After=network-online.target
After=mariadb.service mysql.service

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{
"addr": "0.0.0.0:443",
"stop-jobs-exceeding-walltime": 288000,
"short-running-jobs-duration": 300,
"ldap": {
"url": "ldaps://hpcldap.rrze.uni-erlangen.de",
"user_base": "ou=people,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"search_dn": "cn=hpcmonitoring,ou=roadm,ou=profile,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"user_bind": "uid={username},ou=people,ou=hpc,dc=rrze,dc=uni-erlangen,dc=de",
"user_filter": "(&(objectclass=posixAccount))",
"sync_interval": "24h"
},
"jwts": {
"syncUserOnLogin": true,
"updateUserOnLogin": true,
"trustedIssuer": "https://portal.hpc.fau.de/",
"validateUser": false,
"max-age": "168h"
},
"https-cert-file": "/etc/letsencrypt/live/monitoring.nhr.fau.de/fullchain.pem",
"https-key-file": "/etc/letsencrypt/live/monitoring.nhr.fau.de/privkey.pem",
"user": "clustercockpit",
"group": "clustercockpit",
"archive": {
"kind": "file",
"path": "./var/job-archive",
"compression": 7,
"retention": {
"policy": "none"
}
},
"enable-resampling": {
"trigger": 30,
"resolutions": [
600,
300,
120,
60
]
},
"emission-constant": 317,
"ui-defaults": {
"analysis_view_histogramMetrics": [
"flops_any",
"mem_bw",
"mem_used"
],
"analysis_view_scatterPlotMetrics": [
[
"flops_any",
"mem_bw"
],
[
"flops_any",
"cpu_load"
],
[
"cpu_load",
"mem_bw"
]
],
"job_view_nodestats_selectedMetrics": [
"flops_any",
"mem_bw",
"mem_used"
],
"job_view_polarPlotMetrics": [
"flops_any",
"mem_bw",
"mem_used"
],
"job_view_selectedMetrics": [
"flops_any",
"mem_bw",
"mem_used"
],
"job_view_showFootprint": true,
"job_list_usePaging": false,
"plot_general_colorBackground": true,
"plot_general_colorscheme": [
"#00bfff",
"#0000ff",
"#ff00ff",
"#ff0000",
"#ff8000",
"#ffff00",
"#80ff00"
],
"plot_general_lineWidth": 3,
"plot_list_jobsPerPage": 10,
"plot_list_selectedMetrics": [
"cpu_load",
"mem_used",
"flops_any",
"mem_bw"
],
"plot_view_plotsPerRow": 3,
"plot_view_showPolarplot": true,
"plot_view_showRoofline": true,
"plot_view_showStatTable": true,
"system_view_selectedMetric": "cpu_load",
"analysis_view_selectedTopEntity": "user",
"analysis_view_selectedTopCategory": "totalWalltime",
"status_view_selectedTopUserCategory": "totalJobs",
"status_view_selectedTopProjectCategory": "totalJobs"
},
"clusters": [
{
"name": "fritz",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2022-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "alex",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2022-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "woody",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "tinyfat",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "tinygpu",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 1
},
"duration": {
"from": 0,
"to": 172800
},
"startTime": {
"from": "2020-01-01T00:00:00Z",
"to": null
}
}
},
{
"name": "meggie",
"metricDataRepository": {
"kind": "cc-metric-store",
"url": "http://localhost:8082",
"token": "-"
},
"filterRanges": {
"numNodes": {
"from": 1,
"to": 64
},
"duration": {
"from": 0,
"to": 86400
},
"startTime": {
"from": "2018-01-01T00:00:00Z",
"to": null
}
}
}
]
}

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{
"metrics": {
"clock": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_idle": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_iowait": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_irq": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_system": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_user": {
"frequency": 60,
"aggregation": "avg"
},
"nv_mem_util": {
"frequency": 60,
"aggregation": "avg"
},
"nv_temp": {
"frequency": 60,
"aggregation": "avg"
},
"nv_sm_clock": {
"frequency": 60,
"aggregation": "avg"
},
"acc_utilization": {
"frequency": 60,
"aggregation": "avg"
},
"acc_mem_used": {
"frequency": 60,
"aggregation": "sum"
},
"acc_power": {
"frequency": 60,
"aggregation": "sum"
},
"flops_any": {
"frequency": 60,
"aggregation": "sum"
},
"flops_dp": {
"frequency": 60,
"aggregation": "sum"
},
"flops_sp": {
"frequency": 60,
"aggregation": "sum"
},
"ib_recv": {
"frequency": 60,
"aggregation": "sum"
},
"ib_xmit": {
"frequency": 60,
"aggregation": "sum"
},
"ib_recv_pkts": {
"frequency": 60,
"aggregation": "sum"
},
"ib_xmit_pkts": {
"frequency": 60,
"aggregation": "sum"
},
"cpu_power": {
"frequency": 60,
"aggregation": "sum"
},
"core_power": {
"frequency": 60,
"aggregation": "sum"
},
"mem_power": {
"frequency": 60,
"aggregation": "sum"
},
"ipc": {
"frequency": 60,
"aggregation": "avg"
},
"cpu_load": {
"frequency": 60,
"aggregation": null
},
"lustre_close": {
"frequency": 60,
"aggregation": null
},
"lustre_open": {
"frequency": 60,
"aggregation": null
},
"lustre_statfs": {
"frequency": 60,
"aggregation": null
},
"lustre_read_bytes": {
"frequency": 60,
"aggregation": null
},
"lustre_write_bytes": {
"frequency": 60,
"aggregation": null
},
"net_bw": {
"frequency": 60,
"aggregation": null
},
"file_bw": {
"frequency": 60,
"aggregation": null
},
"mem_bw": {
"frequency": 60,
"aggregation": "sum"
},
"mem_cached": {
"frequency": 60,
"aggregation": null
},
"mem_used": {
"frequency": 60,
"aggregation": null
},
"net_bytes_in": {
"frequency": 60,
"aggregation": null
},
"net_bytes_out": {
"frequency": 60,
"aggregation": null
},
"nfs4_read": {
"frequency": 60,
"aggregation": null
},
"nfs4_total": {
"frequency": 60,
"aggregation": null
},
"nfs4_write": {
"frequency": 60,
"aggregation": null
},
"vectorization_ratio": {
"frequency": 60,
"aggregation": "avg"
}
},
"checkpoints": {
"interval": "12h",
"directory": "/opt/monitoring/cc-metric-store/fritz/checkpoints",
"restore": "48h"
},
"archive": {
"interval": "50h",
"directory": "/opt/monitoring/cc-metric-store/fritz/archive"
},
"http-api": {
"address": "0.0.0.0:8082",
"https-cert-file": null,
"https-key-file": null
},
"retention-in-memory": "48h",
"jwt-public-key": "-"
}

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{
"name": "meggie",
"metricConfig": [
{
"name": "cpu_load",
"unit": {
"base": "load"
},
"scope": "node",
"aggregation": "avg",
"footprint": "avg",
"timestep": 60,
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1411
nhr@fau/job-archive/cluster-tinyfat.json Normal file
View File

File diff suppressed because it is too large Load Diff

2486
nhr@fau/job-archive/cluster-tinygpu.json Normal file
View File

File diff suppressed because it is too large Load Diff

943
nhr@fau/job-archive/cluster-woody.json Normal file
View File

@ -0,0 +1,943 @@
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