Highly trained cats for managing servers.
Project description
CatOps
Highly trained cats for managing servers.
What is CatOps
CatOps is a very simple NoOps framework for deploying your own ChatOps bot.
Commands you wish to add to your CatOps implementation are added to a plugins
folder in the same directory, and will then be automatically imported and callable
using the function name.
Why CatOps
-
NoOps.
- Deploy, rewrite, and redeploy FaaS easily with no worrying about setting up and managing servers.
- Only charged when CatOps is called.
-
Codify common maintenance procedures.
- Perform high level actions without intimate low level knowledge.
- Prevent errors doing complicated but routine tasks.
-
Unify documentation.
- CatOps can act as a unified go-to location for help, merging/pooling all documentation into one place.
-
Transparency.
- Team members can see all actions taken by others in solving a problem. Organic learning.
- No 'go-to' person for certain maintenance tasks.
- Everyone aware of server changes. No-one surprised that the server is down if they see
/meow restart server
in the chat. - Spread knowledge; everyone becomes equally capable of solving problems.
- Out of date help messages or documentation is more obvious to everyone.
-
Context-aware suggestions, suggest actions and display help depending on context.
- Docs/procedures/etc are useful, but can be too much to read through, hard to find, not up to date.
- Reduce clutter when trying to figure out next actions.
-
Reduce context switching.
- No need for bash, Linux, ssh or VPN to fix most server issues.
- No checking server logs.
- Easily accesible and readble output.
-
Control access.
- Only gives necessary access, no unnecessary ssh-ing into production!
Features
- Completely NoOps.
- Easily extensible.
- Pay per invocation.
- Provider agnostic.
Example
Python handler
import json
from six.moves.urllib.parse import parse_qs
import requests
import boto3
from catops import dispatch
def respond(event, context):
"""Call handler.main asynchronously and then return instant response."""
lambda_client = boto3.client('lambda')
response = {'statusCode':'200'}
# Call actual function asynchronously
lambda_client.invoke(
FunctionName='CatOpsAsyncTest-dev-dispatcher',
InvocationType='Event',
Payload=json.dumps(event))
return response
def main(event, context):
"""Main lamda function logic, to be called asynchronously."""
# Print prints logs to cloudwatch
print(event)
params = parse_qs(event.get('body'))
try:
payload = dispatch(params.get('text')[0], params)
except Exception as err:
print("Dispatch failed: {}".format(err))
payload = {
'statusCode':'200',
'text':'Kitten dispatch team did not succeed.',
'headers':{'Content-Type': 'application/json'}
}
# Post to Slack channel
r = requests.post(params.get('response_url')[0], data=json.dumps(payload))
if not r.ok:
print(r)
print(r.reason)
print(r.text)
return
Example plugin
"""example.py - example plugin for ChatOps."""
def ping(argv, params):
"""Check is working."""
payload = {
'statusCode':'200',
'text':'@{} Meow!'.format(params.get('user_name', ['CatOps'])[0]),
'response_type':'in_channel',
}
return payload
Serverless configuration
service: CatOps
package:
include:
- handler.py
- plugins/**
custom:
pythonRequirements:
slim: true
provider:
name: aws
stage: ${opt:stage, 'dev'}
runtime: python3.6
profile: serverless
iamRoleStatements:
- Effect: Allow
Action:
- lambda:ListFunctions
- lambda:InvokeFunction
- lambda:InvokeAsync
Resource: "*"
functions:
dispatcher:
handler: handler.main
respond:
handler: handler.respond
events:
- http:
path: ping
method: post
plugins:
- serverless-python-requirements
Deploy and Test
serverless deploy
serverless invoke --function dispatcher --path /path/to/json/data --log
See examples for more.
Installation
sudo apt-get install npm
sudo npm install -g serverless
npm install serverless-python-requirements
pip install catops
Install serverless-python-requirements
in the same dir as serverless.yml
.
Limitations
- Passive rather than active; needs to be triggered (e.g. by Slack slash commands (could run it every command))
- Limitations of FaaS
- Max size (256MB for AWS Lambda)
- Execution time limit (5 minute for AWS Lambda)
- No state (recommend using a cloud-based database for state e.g. DynamoDB for AWS)
- No autocomplete inside of Slack.
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