195d0794b0
* Add cpu_used (all-cpu_idle) to CpustatCollector * Update to line-protocol/v2 * Update runonce.yml with Golang 1.20 * Update fsnotify in LIKWID Collector * Use not a pointer to line-protocol.Encoder * Simplify Makefile * Use only as many arguments as required * Allow sum function to handle non float types * Allow values to be a slice of type float64, float32, int, int64, int32, bool * Use generic function to simplify code * Add missing case for type []int32 * Use generic function to compute minimum * Use generic function to compute maximum * Use generic function to compute average * Add error value to sumAnyType * Use generic function to compute median * For older versions of go slices is not part of the installation * Remove old entries from go.sum * Use simpler sort function * Compute metrics ib_total and ib_total_pkts * Add aggregated metrics. Add missing units * Update likwidMetric.go Fixes a potential bug when `fsnotify.NewWatcher()` fails with an error * Completly avoid memory allocations in infinibandMetric read() * Fixed initialization: Initalization and measurements should run in the same thread --------- Co-authored-by: Holger Obermaier <40787752+ho-ob@users.noreply.github.com> |
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| .github | ||
| collectors | ||
| docs | ||
| internal | ||
| pkg | ||
| receivers | ||
| scripts | ||
| sinks | ||
| .gitignore | ||
| .gitmodules | ||
| .zenodo.json | ||
| cc-metric-collector.go | ||
| collectors.json | ||
| config.json | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
| receivers.json | ||
| router.json | ||
| sinks.json | ||
cc-metric-collector
A node agent for measuring, processing and forwarding node level metrics. It is part of the ClusterCockpit ecosystem.
The metric collector sends (and receives) metric in the InfluxDB line protocol as it provides flexibility while providing a separation between tags (like index columns in relational databases) and fields (like data columns).
There is a single timer loop that triggers all collectors serially, collects the collectors' data and sends the metrics to the sink. This is done as all data is submitted with a single time stamp. The sinks currently use mostly blocking APIs.
The receiver runs as a go routine side-by-side with the timer loop and asynchronously forwards received metrics to the sink.
Configuration
Configuration is implemented using a single json document that is distributed over network and may be persisted as file. Supported metrics are documented here.
There is a main configuration file with basic settings that point to the other configuration files for the different components.
{
"sinks": "sinks.json",
"collectors" : "collectors.json",
"receivers" : "receivers.json",
"router" : "router.json",
"interval": "10s",
"duration": "1s"
}
The interval defines how often the metrics should be read and send to the sink. The duration tells collectors how long one measurement has to take. This is important for some collectors, like the likwid collector. For more information, see here.
See the component READMEs for their configuration:
Installation
$ git clone git@github.com:ClusterCockpit/cc-metric-collector.git
$ make (downloads LIKWID, builds it as static library with 'direct' accessmode and copies all required files for the collector)
$ go get (requires at least golang 1.16)
$ make
For more information, see here.
Running
$ ./cc-metric-collector --help
Usage of metric-collector:
-config string
Path to configuration file (default "./config.json")
-log string
Path for logfile (default "stderr")
-once
Run all collectors only once
Scenarios
The metric collector was designed with flexibility in mind, so it can be used in many scenarios. Here are a few:
flowchart TD
subgraph a ["Cluster A"]
nodeA[NodeA with CC collector]
nodeB[NodeB with CC collector]
nodeC[NodeC with CC collector]
end
a --> db[(Database)]
db <--> ccweb("Webfrontend")
flowchart TD
subgraph a [ClusterA]
direction LR
nodeA[NodeA with CC collector]
nodeB[NodeB with CC collector]
nodeC[NodeC with CC collector]
end
subgraph b [ClusterB]
direction LR
nodeD[NodeD with CC collector]
nodeE[NodeE with CC collector]
nodeF[NodeF with CC collector]
end
a --> ccrecv{"CC collector as receiver"}
b --> ccrecv
ccrecv --> db[("Database1")]
ccrecv -.-> db2[("Database2")]
db <-.-> ccweb("Webfrontend")
Contributing
The ClusterCockpit ecosystem is designed to be used by different HPC computing centers. Since configurations and setups differ between the centers, the centers likely have to put some work into the cc-metric-collector to gather all desired metrics.
You are free to open an issue to request a collector but we would also be happy about PRs.