One redis, many shops

  • Something came up that I have not really thought about. I have 3 tb shops on the same server. All use redis cache. If I understand it they use the same instance of redis. Is this not a problem?

  • Global Moderator

    @Havouza My understanding is that Redis is an object cache. Caching database query results. Each query is probably unique from an id table. How large is the redis server memory? An ant cannot push an elephant. =)

  • But I doubt that is all true. I have two instances of redis running on one of the servers. The second one is used to speed up the saving of Piwik results in the db. In that case it is strongly advised to NOT use the redis for something else. I just thought that the cache from two different shops probably look totally different

  • Global Moderator

    I think it should? Also from PiWik project, they recommend Piwik be ran on a medium to large dedicated server. I read that, of course, a year ago from their requirements.

  • I will move it but as long as you have less than 1 million pageviews per months and using redis no dedicated server is necessary. All from Piwik documents

  • Global Moderator

    @Havouza yah. I read less than 1k is ok on shared hosting. 10k per day up to 300k per month needs high speed shared account. What do they call high speed, though? heh!

  • everything that not cost under 3 €/month ;-)

  • Global Moderator

    @Havouza I bet “high speed” means that the shared hosting account dedicates up to 1~2 Gigs of memory and 1 to 2 cores. I can do that on cpanel servers with cloudlinux. And those VPS with 2G in USD runs around $6.99/mo

    CloudLinux you can tell it that this account can have an input/output value of XXX megabytes per second, use 1 to 32 cores and dedicate xxx amount of memory and have xxx processes running at the same time. Gives me so many more options for hosting options to customers.

  • In a way vps is also shared hosting. You dont need cloudlinux for that, it is fully possible with fex Centos

  • Global Moderator

    @Havouza You don’t. But there is one feature I like in CloudLinux, chroot every account into its own environment. It doesn’t share the same memory locations on the motherboard. The relevant operating system files are copied over to each account. The CageFS cache requires around 4 Gigabytes on a fast SSD drive partition.

    You are right, though! Noisey neighbors on a server that has VPS accounts can still disrupt the others that have higher input/output on the CPU bus.

  • I use Cgroups to limit each usergroups reights. I can be set very strict and I have had no problems with it. Downside is no real UI

  • Global Moderator

    @Havouza said in One redis, many shops:


    Interesting! I had never heard of that linux kernel module, before. seems rather detailed and yah no GUI! haha! CloudLinux has GUI and graphs. I can tweak values over time to levelize averages for various hosting package values. I can even extend the cPanel package file to set values for CloudLinux and that shows up then when I edit a package with all its form fields.

  • @Havouza said in One redis, many shops:

    Something came up that I have not really thought about. I have 3 tb shops on the same server. All use redis cache. If I understand it they use the same instance of redis. Is this not a problem?

    It really depends on how busy the shops are, and what your server resources are.

    Redis is capable of caching multiple databases within one Redis instance and this will not cause any sort of data corruption or cache problems.

    However Redis is not multithreaded so caching multiple 30bz databases within a single Redis instance will not scale well if the sites are busy. In this case it is better to run one Redis instance per site with each instance on its own port.

    On the other hand running multiple Redis instances requires more memory and creates additional system resource overhead, which can be a problem on smaller servers such as a small VPS. So if you have multiple sites that are not getting a lot of traffic then using a single instance of Redis is going to be the better (and perhaps only) option.

  • Global Moderator

    @dynambee So 1 Gig instance dedicated to Redis per site?

  • @dprophitjr said in One redis, many shops:

    @dynambee So 1 Gig instance dedicated to Redis per site?

    I don’t think Redis will use that much memory per instance, at least not for most 30bz sites. They have some details about memory usage here.

    Edit: Also it looks like the additional memory overhead per redis instance is only about 1MB. If this is accurate then the amount of memory used for a single Redis instance caching 5 databases and five separate Redis instances caching those same 5 databases shouldn’t be more than a few MB different. This is likely too simple an example, but Redis doesn’t seem to have a memory footprint too much bigger than the data it is caching.

  • This is how I understood the info when I read it. As a non-programmer that wants to try, I often look for guidance in the Stackoverflow forum. And there is a lot about redis

  • For low traffic sites with a few thosand products each I doubt it will make any noticeable difference so a single instance is likely preferred due to ease of management.

  • An interesting question is how cloudways do this. They offer redis. Do they offer one redis instance per hosting customer?

  • Cloudways provides one redis instance per VPS. Customer can turn it on or off at will with a couple of clicks.

  • I just read more of the Redis FAQ I linked to above and came across these bits:

    “For instance, using pipelining Redis running on an average Linux system can deliver even 500k requests per second, so if your application mainly uses O(N) or O(log(N)) commands, it is hardly going to use too much CPU.”


    “Redis can handle up to 2^32 keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 2^32 elements. In other words your limit is likely the available memory in your system.”

    As long as Redis is properly configured & has enough memory available I can’t see a bunch of 30bz sites coming remotely close to maxing out even a single Redis instance. Something else will become a bottleneck long before Redis will.

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