Updated the docs to address breaking changes to the celeryconfig.py location.

Author: Mike Grima

docs/autostarting.md

@@ -91,8 +91,8 @@ firewall rules to permit worker instances access. This is documented in the abov
 If installing on the `localhost` of the scheduler instance, you will need to install Redis on the instance (this is complete if following the quickstart guide).
 
 ### Celery Configuration
-You will need to modify the `celeryconfig.py` file that is stored in the base Security Monkey location
-at `/usr/local/src/security_monkey/celeryconfig.py`(https://github.com/Netflix/security_monkey/blob/develop/celeryconfig.py).
+You will need to modify the `security_monkey/celeryconfig.py` file that is stored in the base Security Monkey location
+at `/usr/local/src/security_monkey/security_monkey/celeryconfig.py`(https://github.com/Netflix/security_monkey/blob/develop/security_monkey/celeryconfig.py).
 
 This file looks like this:
 ```
@@ -153,7 +153,7 @@ The workers are instances that fetch data from your configured accounts. These a
 
 You are able to deploy as many workers as you like for your environment.  Security Monkey splits up tasks based on the account and technology pair.
 
-Similar to configuring the Scheduler above, the workers need to have the **same** `celeryconfig.py` as the scheduler. In here, you can optionally configure
+Similar to configuring the Scheduler above, the workers need to have the **same** `security_monkey/celeryconfig.py` as the scheduler. In here, you can optionally configure
 the number of processes that exist within each instance (via the `worker_concurrency` configuration). By default 10 is selected. You can adjust this as necessary. In general, if you would like to 
 scale horizontally, you should deploy more worker instances. This will allow for maximum parallelization.
 

docs/tuneworkers.md

@@ -20,7 +20,7 @@ Create a new Redis cache ([ElastiCache works well](elasticache_directions.md)),
 **Keep note of the endpoint, you'll need this later**.
 
 ## Create a dedicated Celery configuration
-For this use case, you would have two different [Celery configuration Python](https://github.com/Netflix/security_monkey/blob/develop/celeryconfig.py) files.
+For this use case, you would have two different [Celery configuration Python](https://github.com/Netflix/security_monkey/blob/develop/securitymonkey/celeryconfig.py) files.
 You will need to make note of the following section:
 ```
 # This specifies a list of technologies that workers for the above Redis broker should IGNORE.
@@ -36,15 +36,16 @@ In these variables, you will enter in the index name of the technology. For exam
 of the technologies as they appear in the UI.
 
 For this use case, we are going to have a dedicated stack of workers (called the `iam` stack) for IAM Roles, and another stack for everything else (called the `main` stack).
-1. Make a copy of `celeryconfig.py`, and call it `mainceleryconfig.py`
-1. In `mainceleryconfig.py`, make a modification to the `security_monkey_watcher_ignore` variable such that its value is:
+1. Make a copy of `security_monkey/celeryconfig.py`, and call it `security_monkey/mainceleryconfig.py`
+1. In `security_monkey/mainceleryconfig.py`, make a modification to the `security_monkey_watcher_ignore` variable such that its value is:
     ```
     security_monkey_watcher_ignore = set(['iamrole'])
     ```
 1. Save the file.
 
 Next, you will need to make it so that your scheduler and corresponding set of workers that will load this configuration. There is a new environment variable
 that Security Monkey will check to properly load this configuration: `SM_CELERY_CONFIG`. For this stack, `SM_CELERY_CONFIG` needs to be set to: `"mainceleryconfig.py"`.
+(Do not place `security_monkey` in the variable name...just call it the destination name of the file that resides within the `security_monkey/` python code location -- this is the same place that `manage.py` lives)
 Because we utilize `supervisor`, you will need to add this to the `environment` section. Here are sample configurations:
 
 *MAIN-SCHEDULER*