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Merge pull request #10 from simplifi/add-documentation
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Add documentation
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cjonesy authored Sep 13, 2024
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75 changes: 33 additions & 42 deletions README.md
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Expand Up @@ -5,58 +5,49 @@ when a change is detected. In some ways it is similar to consul-template, except
Goverseer does not handle templating. Instead it is focused on watching for
changes and taking some kind of action based on those changes.

## Supported Watchers & Executioners
## Usage

Goverseer is configured using a yaml config file. The `goverseer start` command
takes a path to the config file. If a config path is not provided,
`/etc/goverseer.yaml` will be used.

```yaml
# Example goverseer config
---
name: example

watcher:
type: time
config:
poll_seconds: 1

executioner:
type: log
config:
tag: example
```
The available values for `watcher.type` are:

Overseer currently supports:
- `gce_metadata`: [GCE Metadata Watcher](docs/watchers/gce_metadata_watcher.md)
- `time`: [Time Watcher](docs/watchers/time_watcher.md)

* Time Watcher
* Log Executioner
The available values for `executioner.type` are:

Planned future support includes:
- `log`: [Log Executioner](docs/executioners/log_executioner.md)
- `shell`: [Shell Executioner](docs/executioners/shell_executioner.md)

* GCE Metadata Watcher
* Consul Watcher
* Command Executioner
The configuration options for `watcher.config` and `executioner.config` are
determined by the selected type. See the documentation for the specific watcher
and executioner type for more details on available configuration options.

## Building

To build Goverseer, simply run `make build`. Once complete, you
should see a binary in the root of your checkout.
To build Goverseer, simply run `make build`. Once complete, you should see a
binary in the root of your checkout.

## Development

To run locally during development, run `go run ./cmd/goverseer --help`.

To run all tests, run `make test`.

### Accessing GCE Metadata Locally

It can be useful to test your code locally while listening to an actual GCE
Metadata endpoint. You can achieve this by creating a tunnel to a GCE instance
using `gcloud ssh`.

The snippet below creates a tunnel to your local machine on port 8888 from your
instance on port 80:

```bash
INSTANCE_NAME=my-instance-name
PROJECT=sbx-your-sandbox
ZONE=us-central1-a
gcloud compute ssh "${INSTANCE_NAME}" \
--project="${PROJECT}" \
--zone="${ZONE}" \
--internal-ip -- \
-L 8888:metadata.google.internal:80
```

You can then make metadata changes on the instance to test goverseer:

```bash
INSTANCE_NAME=my-instance-name
PROJECT=sbx-your-sandbox
ZONE=us-central1-a
gcloud compute instances add-metadata "${INSTANCE_NAME}" \
--project="${PROJECT}" \
--zone="${ZONE}" \
--metadata foo=bar
```
42 changes: 42 additions & 0 deletions docs/executioners/log_executioner.md
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# Log Executioner

The Log Executioner provides a simple way to log messages when Goverseer detects
a change. This is useful for debugging and monitoring purposes, allowing you to
track changes and their associated actions.

## Configuration

To use the Log Executioner, configure it in your Goverseer config file. The
following configuration option is available:

- `tag`: (Optional) This allows you to specify a custom tag that will be added
to the log message. This can be helpful for filtering and searching logs.
Defaults to no tag.

**Example Configuration:**

```yaml
executioner:
type: log
config:
tag: my-application
```
With this configuration, every time the watcher detects a change, the log
executioner will output a message like:
```log
Sep 12 16:12:58.095 INF received data data=<content of the change>
```

**Note:**

- The Log Executioner simply logs the change detected by the watcher; it does
not perform any other actions.
- For more complex actions, consider using the `shell_executioner` or creating a
custom executioner.

This executioner is particularly useful during development and testing, allowing
you to quickly verify that Goverseer is functioning as expected and that changes
are being detected. It can also be helpful for debugging issues and
understanding the behavior of your application in response to changes.
44 changes: 44 additions & 0 deletions docs/executioners/shell_executioner.md
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# Shell Executioner

The Shell Executioner allows you to execute arbitrary shell commands when
Goverseer detects a change. This is useful for triggering actions like
restarting services, sending notifications, or running custom scripts. The data
from the watcher that triggered the execution is stored in a file in the
executioner's work directory. The path to this data file is passed to the shell
command via an environment variable named `GOVERSEER_DATA`.

## Configuration

To use the Shell Executioner, you need to configure it in your Goverseer config
file. The following configuration options are available:

- `command`: This is the shell command you want to execute.For example,
`echo "Data received: $GOVERSEER_DATA"`.
- `shell`: (Optional) This specifies the shell to use for executing the command.
Defaults to `/bin/sh` if not provided.

**Example Configuration:**

```yaml
name: shell_executioner_example
watcher:
type: time
config:
poll_seconds: 60
executioner:
type: shell
config:
command: echo "Data received: $GOVERSEER_DATA"
shell: /bin/bash
```
**Note:**
- Ensure that the specified shell is available on your system.
- The Shell Executioner writes the `GOVERSEER_DATA` content to a temporary file
and sets the `GOVERSEER_DATA` environment variable to the path of this file.

This executioner is particularly useful for automating tasks that require shell
command execution based on dynamic data changes. For example, you can use it to
restart a service whenever a configuration file is updated, or to send
notifications when specific events occur.
84 changes: 84 additions & 0 deletions docs/watchers/gce_metadata_watcher.md
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# GCE Metadata Watcher

The GCE Metadata Watcher allows you to monitor a Google Compute Engine (GCE)
metadata key for changes. When a change is detected, Goverseer can trigger an
executioner to take action based on the updated metadata value. The changed data
is passed to the executioner for processing.

## Configuration

To use the GCE Metadata Watcher, you need to configure it in your Goverseer
config file. The following configuration options are available:

- `source`: (Optional) This is the source of the metadata value you want to
monitor. It must be set to either `instance` or `project`. Defaults to
`instance` if not provided.
- `key`: This is the GCE metadata key you want to monitor. For example,
`instance/attributes/my-key`.
- `recursive`: (Optional) This determines whether to fetch metadata recursively.
If set to `true`, all subkeys under the specified key will be monitored.
Defaults to `false`.
- `metadata_url`: (Optional) This allows overriding the default GCE Metadata
server URL. Useful for testing with a local server. Defaults to
`http://metadata.google.internal/computeMetadata/v1`.
- `metadata_error_wait_seconds`: (Optional) This determines the wait time in
seconds before retrying after a metadata fetch error. Defaults to `10`.

**Example Configuration:**

```yaml
name: gce_metadata_watcher_example
watcher:
type: gce_metadata
config:
key: instance/attributes/my-key
recursive: true
executioner:
type: log
```
**Note:**
- The GCE Metadata Watcher relies on the GCE Metadata server, which is only
accessible from within a GCE instance.
- Ensure that your GCE instance has the necessary permissions to access the
metadata server and the specified key.
This watcher is particularly useful for dynamically updating your application's
configuration based on changes made to instance metadata. For example, you can
use it to trigger a restart or reload when a new version is deployed, or to
adjust application behavior based on metadata flags.
## Development
### Accessing GCE Metadata Locally
It can be useful to test your code locally while listening to an actual GCE
Metadata endpoint. You can achieve this by creating a tunnel to a GCE instance
using `gcloud ssh`.

The snippet below creates a tunnel to your local machine on port 8888 from your
instance on port 80:

```bash
INSTANCE_NAME=my-instance-name
PROJECT=sbx-your-sandbox
ZONE=us-central1-a
gcloud compute ssh "${INSTANCE_NAME}" \
--project="${PROJECT}" \
--zone="${ZONE}" \
--internal-ip -- \
-L 8888:metadata.google.internal:80
```

You can then make metadata changes on the instance to test goverseer:

```bash
INSTANCE_NAME=my-instance-name
PROJECT=sbx-your-sandbox
ZONE=us-central1-a
gcloud compute instances add-metadata "${INSTANCE_NAME}" \
--project="${PROJECT}" \
--zone="${ZONE}" \
--metadata foo=bar
```
34 changes: 34 additions & 0 deletions docs/watchers/time_watcher.md
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# Time Watcher

The Time Watcher allows you to trigger at regular intervals. This is mostly
useful for testing and debugging.

## Configuration

To use the Time Watcher, configure it in your Goverseer config file. The
following configuration option is available:

- `poll_seconds`: This specifies the interval, in seconds, at which the watcher
will trigger the executioner.

**Example Configuration:**

```yaml
watcher:
type: time
config:
poll_seconds: 60
executioner:
type: log
```
This configuration would trigger the executioner every 60 seconds.
**Note:**
- The Time Watcher will trigger the executioner regardless of whether any
changes have occurred in the system.
- Consider the resource consumption of your executioner when choosing a polling
interval, as frequent executions can impact performance.
This watcher is ideal for testing.

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