resourced

ResourceD collects resources data inside host machine and perform the following:

• Serves the data as HTTP+JSON.

• Sends the data using custom programs.

Installation

Precompiled binary for darwin and linux will be provided in the future.

Collecting Data and Running ResourceD

1. Configuring readers and writers

ResourceD data collector is called a reader. The quickest way to configure a reader is to use a script.

1. Write your script. There is only one requirement to your script: You must output the JSON data through STDOUT

2. Write ResourceD config file. See examples here.

2. Running ResourceD

Below is an example on how to run ResourceD as foreground process.

RESOURCED_CONFIG_READER_DIR=$GOPATH/src/github.com/resourced/resourced/tests/data/config-reader \
RESOURCED_CONFIG_WRITER_DIR=$GOPATH/src/github.com/resourced/resourced/tests/data/config-writer \
go run $GOPATH/src/github.com/resourced/resourced/resourced.go

ResourceD accepts a few environment variables as configuration:

• RESOURCED_ADDR: The HTTP server host and port. Default: ":55555"

• RESOURCED_CERT_FILE: Path to cert file. Default: ""

• RESOURCED_KEY_FILE: Path to key file. Default: ""

• RESOURCED_CONFIG_READER_DIR: Path to readers config directory. Default: ""

• RESOURCED_CONFIG_WRITER_DIR: Path to writers config directory. Default: ""

• RESOURCED_TAGS: Comma separated tags. Default: []

Reading Data from HTTP Interface

If you run ResourceD server as described above, you should be able to GET load average data via cURL:

curl -X GET -H "Content-type: application/json" http://localhost:55555/r/load-avg

RESTful Endpoints

• GET / Displays full JSON data of all readers and writers.

• GET /paths Displays paths to all readers and writers data.

• GET /r Displays full JSON data of all readers.

• GET /r/paths Displays paths to all readers data.

• GET /w Displays full JSON data of all writers.

• GET /w/paths Displays paths to all writers data.

Third Party Data Source

Here are list of 3rd party data source that ResourceD use. Big thanks to these authors, without whom this project would not be possible.

• https://github.com/cloudfoundry/gosigar

• https://github.com/shirou/gopsutil

• https://github.com/c9s/goprocinfo

• https://github.com/guillermo/go.procmeminfo

Contributors

Are you a contributor, or looking to be one? Go here!