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The vulgar sense spread in the 20th century from dialects including Central Franconian , perhaps via film and broadcasting companies based in Cologne.

Related with southern Dutch poepen. Probably from English pop. Definition from Wiktionary, the free dictionary. See also: Poppen. Conjugation of poppen.

Composed forms of poppen. Categories : Dutch terms with IPA pronunciation Dutch words suffixed with -en denominative Dutch lemmas Dutch verbs Dutch terms with obsolete senses Dutch weak verbs Dutch basic verbs Dutch terms inherited from Middle Dutch Dutch terms derived from Middle Dutch Dutch non-lemma forms Dutch noun plural forms German 2-syllable words German terms with IPA pronunciation German terms borrowed from Central Franconian German terms derived from Central Franconian German lemmas German verbs German weak verbs Regional German German informal terms German vulgarities German terms borrowed from Alemannic German German terms derived from Alemannic German Switzerland German German terms borrowed from English German terms derived from English German colloquialisms West Frisian non-lemma forms West Frisian noun forms.

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. At the same time some experienced PHP developers told me that APC doesn't work that good with huge amount of RAM.

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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High Scalability RSS High Scalability Comments RSS. Apr 12 What is Poppen. The Stats 2. Write private messages to each other.

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Toolbox Nginx All our site is served via Nginx. PHP-FPM The site is running on PHP-FPM. MySQL MySQL is our main RDBMS.

Memcached We use Memcached heavily. RabbitMQ Since mid we introduced RabbitMQ into our stack. CouchDB To store the logs we run CouchDB in one machine.

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. Graphite seemed to be a cool tool for running in production, but there wasn't so many reports about it.

We just had to give it a try. If it hadn't worked, we could have just disabled it. Nobody will cry if we couldn't get a nice graph of Unix Load in our systems.

Today even our Product Managers love it. Learn to interpret those metrics. Create tools that let you react to problems as fast as possible.

If you have to rollback a deployment, you don't want to spend more than a second doing that. Create tools that let you profile the site live.

In the lab most tests give optimistic information, but then fail to cope with production load. The Future Build a new more scalable Message System, since the current version is quite old and wasn't designed for such an amount of messages.

Move more and more processing tasks to the queue system. Add more Erlang applications to our system. RabbitMQ has proven to work well for us and the same we can say of CouchDB.

We are looking for a replacement for Red5, probably the Oneteam Media Server which is written in Erlang. While at the moment we are using open source Erlang products, we may start writing our own applications with the language because now we have experience with it.

Improve our log visualization tools. Todd Hoff 21 Comments Permalink Share Article Print Article Email Article. Reader Comments 21 Let's do the math.

I know of sites that serve this number of requests with PHP using servers. This means that we will have concurrent updates to the users table, to store the user last login time No that does not mean you have concurrent updates.

April 12, frost. April 12, paul p. April 12, Richard. April 12, Silas. April 12, Alvaro. April 12, Max Lapshin.

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