om 0.0.1

Collect usage for remote boxes without configuration.

# om

Collect disk usage, memory and cpu load info on remote boxes without having to install any software - as long as you can SSH into it.


## Features

- Disk and memory usage
- CPU load
- Supports email alerts when resources get to a critical state (e.g. nearly full disk, low free memory, high cpu load, etc)


## Usage

To collect usage for a host:

```shell
$ ./om 192.168.0.1
```

To collect usage for multiple hosts:

```shell
$ ./om 192.168.0.2,box2
```

The tool also supports username, password and port if needed:

```shell
$ ./om root:mypass@mybox:44445
```

## Installation

No packages have been released yet. For a development preview, please fetch the code:

```shell
$ git clone https://github.com/overseer-monitoring/om.git
$ cd overseer-mini
$ pip install -r requirements.txt
$ ./om
```

## Extra customization (optional)

You can tweak the ssh and metrics settings by saving the configs into a json config file.

Running against a config file:

```shell
$ ./om -c <config.json>
```

### config.json format

#### Machines

The config file is a JSON and informs which machines are to be monitored.

```json
{
"machines": {
"my_rails_app": {
"host": "125.22.13.12",
"ssh": {
"username": "foo",
"password": "bar"
}
}
}
}
```

The only required field is ''host''. ''ssh'' is entirely optional if your local agent is already able to use keys to get to the machine.

#### Metrics

The "metrics" section allows you to further customize your monitoring. Our current metrics are:

- disk_usage
- memory_usage

For instance, disk usages are reported as critical when they reach 80% usage. If for a certain box you want to be critical when it reaches 50%, then:

```json
{
"machines": {
"my_rails_app": {
"host": "125.22.13.12",
"metrics": {
"disk_usage": {
"critical": "50%"
}
}
}
}
}
```

You can also override the default value globally:

```json
{
"machines": {
"my_rails_app": {
"host": "125.22.13.12",
},
"my_postgres": {
"host": "postgresbox",
"disk_usage": {
"critical": "60%"
}
}
},
"metrics": {
"disk_usage": {
"critical": "50%"
}
}
}
```