pollect is a daemon for collecting system and application metrics in periodical intervals. (similar to collectd). It's designed to require very little dependencies and to be easily customizable.
------------ ----------
| executor | -- result of sources --> | writer |
------------ ----------
1
| Calls sources to probe data
n
---------------
| source |
---------------
pollect uses executors
which contain sources
for probing the data. The data is exported using the collection
name.
For persisting the data writers
are used. They can be defined globally (for all executors)
or on a per executor level.
By default, the tick time is defined globally, but can be changed on a executor level.
pip install pollect
pollect --config config.json [--dry-run]
Note: You can use either json
or yml
files for configuration.
Place your config.[json|yml]
and any custom sources
into your working directory and run
docker run -v $(pwd):/pollect -p 8000:8000 davidgiga1993/pollect:latest
Here is an example for collecting the load average every 30 seconds as well as sampling the response time of google every 2 min and exporting it as prometheus metrics
---
tickTime: 30
threads: 4
writer:
type: Prometheus
port: 8000
executors:
- collection: pollect
sources:
- type: LoadAvg
- collection: slowerMetrics
tickTime: 120
sources:
- type: Http # See Http below for more details
url: https://google.com
labels: # Additional labels/tags for the metrics
# It is also possible to access env variables anywhere
# in the config
system: prod
home: ${HOME}
A more advanced configuration sample can be found in the pollect.[json|yml]
file.
The metric names are automatically build out of the collection, source and value name. Example:
Pattern: ${collection}_${sourceType}[_${sourceName}][_$valueName}]
Collection | Source type | Source name (optional) | Resulting metric name |
---|---|---|---|
pollect | Http | pollect_Http | |
pollect | Http | test | pollect_Http_test |
pollect | Process | pollect_Process_load_percent pollect_Process_virtual_memory |
A source collects data in regular intervals. Depending on the source there are multiple configuration parameters available.
Certain sources might need additional dependencies.
The following parameters are available for all sources:
Param | Desc |
---|---|
name | Name of the metric (prefix) |
labels | Dict of static labels |
Measures the http response time in milliseconds
Param | Desc |
---|---|
url | Url to the web service. Can be a list of strings as well (the url will be added as label) |
timeout | Timeout in seconds (default 15) |
statusCode | The expected status code (default any non error) |
proxy | Http proxy which should be used (defaults to none respecting environment variables. Set to '' to use no proxy regardless of environment) |
Disk usage statistics. Requires shutil
package
System load average. Linux only
System memory usage. Requires psutil
package
Information about one or more processes
Param | Desc |
---|---|
name | Name of the metric |
procRegex | Name of the process(es) - Regex |
memory | True to enable memory metrics (default true) |
load | True to enable cpu load metrics (default true) |
Collects NIC statistics. Requires psutil
package
Param | Desc |
---|---|
includeTotal | Enables incremental counter data |
include | Explicitly includes nics. Can be empty |
exclude | Excludes nics. Can be empty |
Collects IO statistics. Requires psutil
package
Param | Desc |
---|---|
include | Explicitly includes disks. Can be empty |
exclude | Excludes disks. Can be empty |
Wrapper for the linux smartctl
tool. Collects SMART data
Param | Desc |
---|---|
attributes | Name of smart attributes which should be included |
devices | List of regex for matching disks which should be included |
Wrapper for the linux sensors
utility. Collects sensor data such as temps and voltages
Param | Desc |
---|---|
include | Name of chips which should be included. Can be empty |
exclude | Name of chips which should be excluded. Can be empty |
useBaseUnits | Set to False to report the raw values in their reported unit (for example mV instead of V) |
Bind DNS server statistics.
Param | Desc |
---|---|
url | URL to the bind statistics |
views | Views which should be included |
Wrapper for the snmpget binary.
type: SnmpGet
name: Procurve
# Host which should be contacted
host: 10.1.100.1
# Community string (public by default)
communityString: public
# Metrics which should be collected
# Each metric can query one or more oids
metrics:
# Name of the metric
- name: throughput
# Processing mode:
# - undefined (default): No processing
# - rate: Computes the change per second, compensating for value overflows
mode: rate
# OID which should be probed
oid: iso.3.6.1.2.1.16.1.1.1.4.1
# It is also possible to define ranges
- name: interface_link_state
# The parameter in the oid will be replaced with the range number
oid: iso.3.6.1.2.1.2.2.1.5.${if}
range:
from: 1
to: 10 # From and to are inclusive
label: "if" # The label will be attached to the metric
Collects plex mediaserver statistics. This requires local IP addresses to be allowed without authentication.
Param | Desc |
---|---|
url | URL to plex. Use the IP of the NIC instead of localhost |
Provides simple ZFS pool sizing and performance metrics.
Connects to the fritzbox api and collects WAN statistics. Requires the fritzconnection package.
Exposes the values shown in the EVCC web-ui as metrics.
Requires the websocket-client
package.
Param | Desc | |
---|---|---|
host | Host and port of the EVCC instance (e.g. localhost:7070 ) |
Collects sensor data from viessmann heatpumps
Param | Desc |
---|---|
user | Username of viessmann account |
password | Password of account |
These information are only required for the first data collection. Afterwards a viessmann_token.json
file is created
to cache the oauth credentials.
Collects temperature and humidity data from homematic IP. Requires the homematicip package.
Param | Desc |
---|---|
authToken | Auth token |
accessPoint | Access point id |
Collects data from the SMA Home Manager 2.0. The data is received via multicast from the meter. If this doesn't work for you, there is also a possibility to configure the meter to unicast the values directly to your machine.
Param | Desc |
---|---|
hostIp | The primary IP address of the host running pollect. Required for multicast |
Collects data from SMA Photovoltaik inverters. Requires tcp modbus to be enabled on the inverted.
Requires the pymodbus
dependency.
Param | Desc |
---|---|
host | IP or hostname of the inverted |
port | Optional: modbus port, 502 by default |
Collects wifi statistics of the TP-LINK EAP series devices. This uses the rest api of the device. Note that the devices only support one session at a time, meaning you will be logged out from the web UI in regular intervals.
Param | Desc |
---|---|
url | URL to the admin UI |
user | Username |
password | Password |
Collects the values of all channels of all items in openhab. This contains more data than the original metrics exporter of openhab (since it doesn't include all items).
Param | Desc |
---|---|
url | URL to openhab |
Connects to the audi MMI backend and collects data. Requires the audi api package. Note: This pacakge is currently broken due to API changes.
Param | Desc |
---|---|
credentials | Path to the credentials.json |
vin | VIN of the car that should be crawled |
Provides app statistics from the google play developer console. Requires the google-cloud-storage package.
Important each fetch will call the google cloud storage api to check for updates so make sure to call is less frequent (every 30min or so).
Sample config:
{
"type": "Gdc",
// Name of the bucket - this can be found at the bottom of the bulk export page in the GDC
"bucketName": "pubsite_prod_rev_1234",
"apps": [
{ // All apps for which the statistics should be crawled
"package": "my.app.package",
"name": "My App"
}
],
// Key file for the service account which has read access to the GDC
"keyFile": "api-project-1234.json",
// Name of the folder where the crawled files should be stored
"dbDir": "db"
}
Collects download statistics from apple
{
"type": "AppStoreConnect",
"keyId": "ASDH123123",
"keyFile": "my_api_key.p8",
"issuerId": "asdasd-123123asd-asd12312-asd",
"vendorNumber": "882223",
"dbDir": "db"
}
Requires the gevent
package
This source starts a simple http webserver and where you can post metrics to.
It's intended if you want to push metrics to pollect, instead of using the default pull probes.
- type: HttpIngress
name: Ingress
port: 9005 # Listener port
metrics: # You can define multiple metrics
sample_metric: # Name of the metric
type: counter # Optional, gauge by default, counter will cause the value to increment by X every time
labels: # Labels for this metric
- host
You can update the metrics using a simple http json post:
curl -X POST http://pollect:9005 \
-H 'Content-Type: application/json' \
--data-binary @- << EOF
{
"metrics": {
"sample_metric": {
"value": 124
"labels": {
"host": "my-hostname"
}
}
}
}
EOF
Returns the expiry date of a https certificate. Requires openssl
binary and pyOpenSSL
.
- type: Certificate
name: cert
url: https://google.com
A writer represents the destination where the collected data is written to.
Prints the collected data to the stdout
Exports the data via a prometheus endpoint. The port can be configured using
port
as configuration:
writer:
type: Prometheus
port: 9001
Pollect has a custom prometheus exporter which supports https.
This requires the gevent
package.
writer:
type: PrometheusSsl
port: 8000
key: key.key
cert: cert.pem
By default, pollect executes all sources of a collection in parallel with 5 threads.
Different collections are executed in separate threads as well, meaning that multiple long-running probes in one
collection can't block another collection.
If the writer supports partial writes (for example prometheus
) the result of each source will be immediately
available.
Writers which do not support partial writes will receive the data once all probes have completed.
This example shows how to add your own collectors
extensions/SingleRandom.py:
# Single random value with parameter
class SingleRandomSource(Source):
def __init__(self, data):
super().__init__(data)
self.max = data.get('max')
def _probe(self):
return random() * self.max
extensions/MultiRandomSource.py:
# Multiple random values
class MultiRandomSource(Source):
def _probe(self):
return {'a': random(), 'b': random()}
config.json:
{
"sources": [
{
"type": "extensions.SingleRandom",
"max": 100
},
{
"type": "extensions.MultiRandom"
}
]
}
A similar principle is used for the writers. Take a look at the sources
and writers
folders for more examples.