I am a little bit curious: Do you _really_ have 1000 requests/second, or do you just throw some numbers in? ;) Sebastian, supposedly_asking_to_get_some_pre_evaluation :) Even in times, where there is not that much traffix? Automatic backup at 3:00 in the morning for example? 3:00 morning in one country is 9 Am in other country, 3 PM in other country . By the way Thank you so much guys, I wanted tidbits and you gave me more. Stuart, I recall your replies in other situations and always you helped me to improve.list is happy to have you. Sincerely Negin Nickparsa On Wed, Sep 18, 2013 at 3:39 PM, Sebastian Krebs <krebs.seb@xxxxxxxxx>wrote: > > > > 2013/9/18 Negin Nickparsa <nickparsa@xxxxxxxxx> > >> Thank you Camilo >> >> to be more in details,suppose the website has 80,000 users and each page >> takes 200 ms to be rendered and you have thousand hits in a second so we >> want to reduce the time of rendering. is there any way to reduce the >> rendering time? >> > > Read about frontend-/proxy-caching (Nginx, Varnish) and ESI/SSI-include > (also NGinx and Varnish ;)). The idea is simply "If you don't have to > process on every request in the backend, don't process it in the backend on > every request". > > But maybe you mixed up some words, because the rendering time is the time > consumed by the renderer within the browser (HTML and CSS). This you can > improve, if you improve your HTML/CSS :) > > > I am a little bit curious: Do you _really_ have 1000 requests/second, or > do you just throw some numbers in? ;) > > >> >> other thing is suppose they want to upload files simultaneously and the >> videos are in the website not on another server like YouTube and so streams >> are really consuming the bandwidth. >> > > Well, if there are streams, there are streams. I cannot imagine, that > there is another way someone can stream a video without downloading it. > > >> >> Also,It is troublesome to get backups,when getting backups you have >> problem of lock backing up with bulk of data. >> > > Even in times, where there is not that much traffix? Automatic backup at > 3:00 in the morning for example? > > >> >> >> >> Sincerely >> Negin Nickparsa >> >> >> On Wed, Sep 18, 2013 at 12:50 PM, Camilo Sperberg <unreal4u@xxxxxxxxx>wrote: >> >>> >>> On Sep 18, 2013, at 09:38, Negin Nickparsa <nickparsa@xxxxxxxxx> wrote: >>> >>> > Thank you Sebastian..actually I will already have one if qualified for >>> the >>> > job. Yes, and I may fail to handle it that's why I asked for guidance. >>> > I wanted some tidbits to start over. I have searched through yslow, >>> > HTTtrack and others. >>> > I have searched through php list in my email too before asking this >>> > question. it is kind of beneficial for all people and not has been >>> asked >>> > directly. >>> > >>> > >>> > Sincerely >>> > Negin Nickparsa >>> > >>> > >>> > On Wed, Sep 18, 2013 at 10:45 AM, Sebastian Krebs <krebs.seb@xxxxxxxxx >>> >wrote: >>> > >>> >> >>> >> >>> >> >>> >> 2013/9/18 Negin Nickparsa <nickparsa@xxxxxxxxx> >>> >> >>> >>> In general, what are the best ways to handle high traffic websites? >>> >>> >>> >>> VPS(clouds)? >>> >>> web analyzers? >>> >>> dedicated servers? >>> >>> distributed memory cache? >>> >>> >>> >> >>> >> Yes :) >>> >> >>> >> But seriously: That is a topic most of us spent much time to get into >>> it. >>> >> You can explain it with a bunch of buzzwords. Additional, how do you >>> define >>> >> "high traffic websites"? Do you already _have_ such a site? Or do you >>> >> _want_ it? It's important, because I've seen it far too often, that >>> >> projects spent too much effort in their "high traffic infrastructure" >>> and >>> >> at the end it wasn't that high traffic ;) I wont say, that you cannot >>> be >>> >> successfull, but you should start with an effort you can handle. >>> >> >>> >> Regards, >>> >> Sebastian >>> >> >>> >> >>> >>> >>> >>> >>> >>> Sincerely >>> >>> Negin Nickparsa >>> >>> >>> >> >>> >> >>> >> >>> >> -- >>> >> github.com/KingCrunch >>> >> >>> >>> Your question is way too vague to be answered properly... My best guess >>> would be that it depends severely on the type of website you have and how's >>> the current implementation being well... implemented. >>> >>> Simply said: what works for Facebook may/will not work for linkedIn, >>> twitter or Google, mainly because the type of search differs A LOT: >>> facebook is about relations between people, twitter is about small pieces >>> of data not mainly interconnected between each other, while Google is all >>> about links and all type of content: from little pieces of information >>> through whole Wikipedia. >>> >>> You could start by studying how varnish and redis/memcached works, you >>> could study about how proxies work (nginx et al), CDNs and that kind of >>> stuff, but if you want more specific answers, you could better ask specific >>> question. >>> >>> In the PHP area, an opcode cache does the job very well and can >>> accelerate the page load by several orders of magnitude, I recommend >>> OPCache, which is already included in PHP 5.5. >>> >>> Greetings. >>> >>> >> > > > -- > github.com/KingCrunch >
