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x9

X-9 is a brazilian slang for "informer".

A X-9 person is motivated by envy.

This X-9 was motivated by keep learning golang.

It is a tool that alerts in Slack missbehavior of AWS instances.

A missbehavior is when an instance runs for short time (check the option TOLERANCE).

It is most usefull to monitor auto scaling groups (ASG). When an instance is member of a ASG the ASG name is used as its key.

It also provides an easy API that anwsers easy questions we are tired to give everyday, like:

  • What are the instances running right now, by tags, regions ?
  • How many instances we created in the last 24 hours ?
  • How many spot instances we created today ?
  • How many instances run for less than an hour ?
  • How many spot instances run for less than an hour today ?
  • How many instances we run by region ?
  • How many instaces are run with a certain tag (for example by environment)?
  • How many instances by type ?
  • What are the missbehaving auto scaling groups right now ?

(check /api for a complete list)

How does it work ?

Simply by getting the result of "describe instances" and sumarizes it in redis. The data expires in 24 hours.

Tags

A rudimentary tag support is provided in this first release. You must use the tags bellow. If don't use tags or different tags, don't worry, they will be show as "none".

Tag Description
Env Environment, ie: QA, DEV, STG, PROD
Product System
App Component of System

Running it locally

$ # make sure your aws cli is working
$ brew install go
$ brew install redis
$ brew install glide
$ mkdir ~/go/src/github.com/grupozapvivareal
$ cd ~/go/src/github.com/grupozapvivareal
$ git clone [email protected]:VivaReal/x9.git
$ export GOPATH=~/go/
$ glide install
$ redis-server &
$ export SLACK_BOT_URL="https://myslack...."
$ go run main.go
$ curl localhost:6969

Using AWS key pairs

$ export AWS_ACCESS_KEY_ID=XXXXXXXXX
$ export AWS_SECRET_ACCESS_KEY=XXXXXXX
$ go run main.go

How to build it

$ make build
(will create the x9 executable file)

How to build it and run in Docker

$ make docker_image DOCKER_REPO="myrepo"
$ docker run --name redis -d redis
$ docker run -p 6969:6969 \
-e REDIS_SERVER=redis:6379 \
-e AWS_ACCESS_KEY_ID=XXX \
-e AWS_SECRET_ACCESS_KEY="XXX" \
-e SLACK_BOT_URL="https://myslack...." \
myrepo/x9
$ curl localhost:6969/api

All options and their defaults

Environment variable Default value Description
AWS_ACCESS_KEY_ID - optional, default provided by the aws-cli configuration
AWS_SECRET_ACCESS_KEY - optional, default provided by the aws-cli configuration
SLACK_BOT_URL error Slack bot URL
REDIS_SERVER localhost:6379 Redis server address and port
TOLERANCE 3000 Minimum amount of time instances must run to not be considered missbehave
ALERT_TIMEFRAME 1200 Interval between checks
SERVICE_PORT 6969 Webserver port
REGIONS "sa-east-1,us-east-1" Regions were to run "describe-instances"

API reference

$ lynx --dump localhost:6969/api

Redis keys reference

Starting by Meaning
r_* Sum of all regions
w_* Sum of "wasted" instances (run for less time than $TOLERANCE)
s_* Sum of spot instances
tmp_* temporary keys