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5.4.1 Using Redis to store configuration information

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5.4.1 Using Redis to store configuration information

To see how generally difficult configuration management can be, we only need to look at the simplest of configurations: a flag to tell our web servers whether we’re under maintenance. If so, we shouldn’t make requests against the database, and should instead return a simple “Sorry, we’re under maintenance; try again later” message to visitors. If the site isn’t under maintenance, all of the normal web-serving behavior should happen.

In a typical situation, updating that single flag can force us to push updated configuration files to all of our web servers, and may force us to reload configurations on all of our servers, if not force us to restart our application servers themselves.

Instead of trying to write and maintain configuration files as our number of services grows, let’s instead write our configuration to Redis. By putting our configuration in Redis and by writing our application to fetch configuration information from Redis, we no longer need to write tools to push out configuration information and cause our servers and services to reload that configuration.

To implement this simple behavior, we’ll assume that we’ve built a middleware layer or plugin like we used for caching in chapter 2 that will return our maintenance page if a simple is_under_maintenance() function returns True, or will handle the request like normal if it returns False. Our actual function will check for a key called is-under-maintenance. If the key has any value stored there, we’ll return True; otherwise, we’ll return False. To help minimize the load to Redis under heavy web server load (because people love to hit Refresh when they get maintenance pages), we’ll only update our information once per second. Our function can be seen in this listing.

Listing 5.13 The is_under_maintenance() function

def is_under_maintenance(conn):

Set the two variables as globals so we can write to them later.

   if LAST_CHECKED < time.time() - 1:

Check to see if it’s been at least 1 second since we last checked.

      LAST_CHECKED = time.time()

Update the last checked time.


Find out whether the system is under maintenance.


Return whether the system is under maintenance.

With that one function plugged into the right place in our application, we could affect the behavior of thousands of web servers within 1 second. We chose 1 second to help reduce load against Redis for very heavily trafficked web sites, but we can reduce or remove that part of the function if our needs require faster updates. This seems like a toy example, but it demonstrates the power of keeping configuration information in a commonly accessible location. But what about more intricate configuration options?