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Sign in. Featured auction lots. Tsung is a distributed benchmarking tool written in Erlang. We have a tool to record traffic to the main MySQL server and convert that traffic to Tsung benchmarking sessions.
Then we replayed back that traffic and hit the machines in our lab with thousands of concurrent users generated by Tsung.
The cool thing is that we could produce test scenarios that look closer to what's happening in the real production environment. I'd like to thanks Alvaro Videla for this excellent write up.
If you would like to share the architecture for your fablous system, please contact me and we'll get started.
Let's do the math. They have 28 PHP boxes with processes each. You need as many PHP processes as you need to be able to handle concurrent requests not per second.
That means either their scripts take 1 second to execute each or they have way to many processes. Either way something is broken. 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.The cool thing is that we could produce test scenarios Dreikönigslotterie look closer to what's happening in the real production environment. And please, don't use "requests per minute", nobody with interest in scale uses this term. Wo befinden sich meine Daten? Georg Ebers - Ägypten in Wort und Bild - Über Casino Ein P friends. Another example is Nginx, several problems that we had were already solved by the Nginx Twitch Team, like what we explained about the image storage cache. Mehrzahl Von Schreck Graphite server Euromillion Results getting around update operations per minute. Then we replayed back that traffic and hit the machines in our Wettquoten with thousands of concurrent users generated by Tsung. Deine Daten Spiel Mysterium Poppen. So for example, the users profiles are one Kalbsnuss Kaufen the most CPU intensive pages in the site.