在Django中，集群的memcached节点，一个非常简单的方法被使用。简单地列出所有节点地址在所有你的Django的服务器，像这样的settings.py文件：

In Django, to cluster memcached nodes, a very simple method is used. Simply list all node address in the settings.py file of all your django servers like so:

CACHES = {
    'default': {
        'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
        'LOCATION': [
            'xxx.xxx.xxx.240:11211',
            'xxx.xxx.xxx.242:11211',
            ...,
        ]
    }
}

显然，编辑每个实例的setting.py文件每当一个实例滴出或新加入将是痛苦的，你会怎么去自动地管理增加新的节点群集？

Obviously editing the setting.py file of each instance whenever an instance drops out or a new one is added would be painful, how would you go about automagically managing the addition of new nodes to the cluster?

在所有情况下都在负载平衡器。

可能不回答：

我也可以只选择其中一个Django的实例运行的memcached 由于我只使用memcached的存储微小标记单个节点。 但是，我们的目标是让所有的EC2实例是相同的。 我也可以使用elasticache，但它是昂贵（35块钱/月！:) ）的最小版本 I could also just dedicate one django instance to run a memcached single node since I am only using memcached to store tiny tokens. But the goal is to have all ec2 instances be identical. I could also use elasticache but it is expensive (35 bucks/month! :) ) for the smallest version

请注意： 我使用memcached到prevent celeryd人员访问相同的资源，但它的确定，如果偶尔资源是双访问。而我的令牌有一个寿命很短（小于15秒）。所以失去memcached的节点不是什么大不了的事，只要它不发生过于频繁。

Note: I use memcached to prevent celeryd workers from accessing the same resources, but its ok if occasionally a resource is double accessed. And my tokens have a short lifespan (less than 15 seconds). So loosing memcached nodes is not a big deal as long as it doesn't happen too frequently.

推荐答案

如果您的缓存数据真的是非常小的，也许你会感兴趣像redistogo.com非亚马逊的托管缓存服务。他们有一个免费的版本，如果你的数据是足够小，计价秤非常非常合理的。

If your cache data really is very small, maybe you'd be interested in a non-amazon hosted cache service like redistogo.com. They have a free version if your data is small enough and the pricing scales very very reasonably.

这不回答你的问题在​​所有，但既然你提到elasticache但犹豫不决的价格，也许它会满足您的需求。

This doesn't answer your question at all, but since you mentioned elasticache but balked at the price, maybe it will fit your needs.