BigStats pushes BIG-IP telemetry to remote logging services/pipelines. It supports HTTP, HTTPS, StatsD, and Apache Kafka destinations.
With BigStats you can insert your valuable BIG-IP stats into your telemetry pipeline solutions, like this:
Learn more about BigStats here (videos and stuff)
Combine BigStats with the Github Webhook Server for a more complete solution:
BIG-IP v13, or newer.
You can find BigStats installation instructions here: DOCS/BIGSTATS_INSTALL.md
Configuring BigStats is as simple as POSTing the appropriate settings to /mgmt/shared/bigstats_settings. It requires the following information:
- protocol: [poll|http|https|statsd|kafka]
- address ip address or resolvable domain name
- port destination port
- uri [OPTIONAL] End-point to post data to. Can be blank. Used only for http or https destinations.
- interval - how often, in seconds, to send the stats. Default: 10 seconds.
- size - how much data: small, medium, or large.
- enabled - enable/disable BigStats as required.
- debug - this will put a LOT of data into the BIG-IPs
/var/log/restnoded/restnoded.log. Remember to turn this off when done.
You can view the full BigStats Configuration Schema here, bigstats-schema.json, or you can follow the destination-specific instructions below:
Configure BigStats exporter for:
How does it work?
Running on the F5 BIG-IP (physical or virtual), BigStats crawls the running configuration collecting statistics every 'n' seconds (see config) to build an object in memory like the following:
Example BigStats Object:
BigStats produces output in three sizes: Small, Medium, and Large.
- Small - VIP connectivity stats
- Medium - VIP and Pool member connectivity stats
- Large - VIP and Pool member connectivity stats, and SSL stats
You can find example outputs in the /DOCS directory.
Below is an example Medium output:
{
"ip-172-31-1-20-us-west-1-compute-internal": {
"services": {
"Tenant_01/App1": {
"/Tenant_01/App3/172.31.4.11:80": {
"clientside_curConns": 0,
"clientside_maxConns": 0,
"clientside_bitsIn": 0,
"clientside_bitsOut": 0,
"clientside_pktsIn": 0,
"clientside_pktsOut": 0,
"/Tenant_01/App1/web_pool1": [
{
"172.31.10.112:80": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
},
{
"172.31.10.111:80": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
},
{
"172.31.10.113:80": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
},
{
"172.31.10.114:80": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
}
]
}
},
"Common": {
"/Common/172.31.4.200:80": {
"clientside_curConns": 0,
"clientside_maxConns": 0,
"clientside_bitsIn": 0,
"clientside_bitsOut": 0,
"clientside_pktsIn": 0,
"clientside_pktsOut": 0,
"/Common/noAS3_POOL": [
{
"172.31.10.200:8080": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
},
{
"172.31.10.201:8080": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
},
{
"172.31.10.202:8080": {
"serverside_curConns": 0,
"serverside_maxConns": 0,
"serverside_bitsIn": 0,
"serverside_bitsOut": 0,
"serverside_pktsIn": 0,
"serverside_pktsOut": 0,
"monitorStatus": "down"
}
}
]
}
}
},
"device": {
"memory": {
"memoryTotal": 8063365120,
"memoryUsed": 1509008040
},
"cpu0": {
"fiveSecAvgIdle": 99,
"fiveSecAvgIowait": 0,
"fiveSecAvgIrq": 0,
"fiveSecAvgNiced": 0,
"fiveSecAvgRatio": 1,
"fiveSecAvgSoftirq": 0,
"fiveSecAvgStolen": 0,
"fiveSecAvgSystem": 0,
"fiveSecAvgUser": 0
},
"cpu1": {
"fiveSecAvgIdle": 99,
"fiveSecAvgIowait": 0,
"fiveSecAvgIrq": 0,
"fiveSecAvgNiced": 0,
"fiveSecAvgRatio": 1,
"fiveSecAvgSoftirq": 0,
"fiveSecAvgStolen": 0,
"fiveSecAvgSystem": 0,
"fiveSecAvgUser": 0
}
}
}
}Then, depending on the configuration, BigStats re-formats the object to match the desired destination (none/http/https/StatsD/Kafka) and sends the data.
With BigStats you can insert your valuable BIG-IP data into your telemetry pipeline solutions, like this:
Unit Tests
Unit tests for this project have been written in Mocha with support from Sinon.JS and ProxyQuire for mocking and stubbing.
Use npm test from the root directory of the project to run all unit tests.
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