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I am not very familiar with Mysql but the one on which I work on recommends that we don't create more than partitions.
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Quote: This system lets us improve the resource management. No that does not mean you have concurrent updates. Most of the time a lot less.
Also note they have 50 memcached nodes. How many servers do they have to handle this moderate amount of load? It's insane.
Conclusion: not impressive and I have not seen any new insights. I question the efficience of their code a lot. Hi Alvaro, thanks for that interesting insight in your architecture.
Can you provide a link to Graphite? It sounds interesting, and we're beginning to look at those systems, but its such a common word that simple Googles aren't coming up with anything that I think is correct.
Not How many partials components do they show? Is the site information completely dynamic? And the list of questions can go on.
Besides that we keep the load avg on the quite low and we have enough servers for our planned growth. Besides that when you build a website you have to do business decisions.
Is not like you pick your best book about website programming theory. In our case, we use a Framework and an ORM.
That let us develop quite fast. You have to take that into account too. I've learned that is hard to talk about business decisions of other companies without knowing the background behind them.
Regarding the concurrent queries to the database and the login numbers, you are right, I did a mistake on the numbers.
I apology to the readers for giving misleading information. On the other side I hope you and other readers of the site can understand what you can accomplish with a queue server.
If you know that already and you don't need to learn it from me then better for you. I hope this is useful for at least one developer.
We have a Who Is Online server that tracks the online users. It uses a timeout for it to mark them as logged out. We use several Memcached nodes because we have specialized buckets depending on what we want to cache.
For example we have view cache, to cache templates. Function cache, to cache queries to the database. Then One Memcached to specifically cache queries to one table, etc.
In that way the usage of one memcached doesn't affect the others. Hi, Alvaro. I want to introduce you a better streaming server: erlyvideo , it is worthy to test, how many users it will handle in your situation for me it can serve connections from one machine.
I am not very familiar with Mysql but the one on which I work on recommends that we don't create more than partitions. So if they don't even hit PHP then I'm even more correct in that you have either too slow scripts are too many processes.
But that's not really a problem. The sites I am talking about have a lot of dynamic content but very clever caching plus they don't use any framework or ORM wrappers.
Granted you get some advantage in terms of development time but once you reach a certain size, you will whish you didn't go that route.
It's not that hard to code some classes for your objects which use more intelligent queries and caching. You have 2. And please, don't use "requests per minute", nobody with interest in scale uses this term.
It's mostly "requests per second" and suddenly your numbers don't seem so big anymore because it's only one 60th.
He did not say one partition per user, he said partition by user id. That does not suggest anything about partition size. It can be users or 1 million users per partition.
It only tells you what key is used to decide in which partition a value is stored. Also that does not have anything to do with MySQL per se.
The what one you work on? Also partitions? Yea right.. Great post. I think it was interesting to read and see how you solved many of your issues.
Also nice tip regarding graphite. Hi Alvaro. You said you were using memcached to cache view components like user profile. Can you explain more detail on how you invalidate these view cache?
I understand that you wrote your own code to invalidate "data cache" when the data was changed. But for a view cache, there are lots of data, any of the data change should invalidate this view cache.
How do you do that? My first feeling: too many PHP servers. I think that Symfony is too slow PHP framework for them in this case. I learned from my experience that Symfony eat a lot of CPU.
Thanks for the tips on Erlyvideo, we've looked into it too some months ago. We are not decided yet. We use a EC2 for video delivery, the other systems are hosted in our physical servers.
The servers are running SLES We "namespaces" the keys, so we can invalidate related set of keys at once. But it depends on which part of the site. So is hard to explain all this here.
We use old blade servers with 6G of Ram with 8 cores. Then regarding symfony or any PHP framework while they are not the fastest solutions than plain PHP code or more lightweight frameworks, speed is not the only thing that you consider when choosing a framework.
This means we can hire people with ease, that already know the technology that we use. Then what happens if we use a super fast custom framework and then the "hacker" that wrote it leaves the company?
Who will maintain his code? And then your suggestion about moving to another framework sounds nice in theory, but do you know how many months of development could take to port the site code to another framework?
We also have to pay for our developers salaries which most of the time is more expensive than one of this blade servers.
So as I said in an answer before, companies do business decisions, not just choose this or that framework because is fast.
So please, don't blame the number of servers on symfony, because while yes is heavier than plain PHP code, is not the reason why we use so many.
If not then why do you use PHP? Alvaro, i'm in no way questioning your infrastructure since you know it better than anybody else here, especially some of those 'armchair system architects.
Thanks for you insights. I agree with you. Is not that you go and throw money at hardware, there should be an equilibrium.
We also try to improve our code when we can, i. We are working on a lightweight solution for SQL queries, which according to our benchmarks will reduce quite a lot of load from the site since we can remove the ORM that we use, which is quite heavy.
Our site is evolving and we are learning from our mistakes as everyone should do. Regarding the load average statement, I said that because for some commenters it look like we have 28 completely overloaded machines.
Besides that we have those machines in place because we are planning for future growth, by future we mean imminent if everything goes as planned. About APC vs.
We have to ponder more that. Sometime we discuss the same as what you just said. I have no experience related to that to give an opinion.
Also APC cache is not shared, we have to ponder if that is a problem too. We do cache several computations into APC too. Thanks for a great article!
I have one question about your nginx and memcached. You wrote that many requests doesn't even hit PHP, because Nginx gets the cached content from memcached - can you describe it a little bit more?
Do you cache HTML pages? Erlyvideo is developed very rapidly. Several months ago you could see previous generation of it, that couldn't do anything.
So, if you are interested, better to communicate via email. Alvaro, I think you should try Erlyvideo - it's wrotten in Erlang, and it develops very fast.
What I found most interesting is how they manage to sucessfully blend a little of the old with a little of the new. No, they didn't manage to successfully blend old and new.
It's nearly never really fast, also every few weeks extra slow for at least a few hours, often for weeks. The current slow-period is on since about 6 weeks, and still no end in sight.
The performance of poppen. Far away from being successful Notify me of follow-up comments via email. Explain the Cloud Like I'm All Time Favorites.
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Toolbox Nginx All our site is served via Nginx. Memcached We use Memcached heavily. Graphite We use Graphite to collect real time information and statistics from the website.
Red5 Our site also serves video to the users. Tsung Tsung is a distributed benchmarking tool written in Erlang. Lessons Learned While Buzz Oriented Development is cool, look for tools with an important community behind them.
Documentation and a good community are invaluable when there are problems to solve, or when you need to incorporate people to your team.
CouchDB and RabbitMQ also have good support from their developers, with active mailing list where questions are answered in time.
We learned a lot from symfony. Where it could be tweaked and what could be improved. Another example is Nginx, several problems that we had were already solved by the Nginx community, like what we explained about the image storage cache.
Extend the tools. If they are working well there's no need to introduce new software into the current stack. We have written several Nginx modules that have even been tested by the Nginx community.
In this way you contribute back. D on't be conservative with what doesn't matter.