zoukankan      html  css  js  c++  java
  • Put your application in production

    Here some simple tips to optimize your application for production.

    Configure your application.conf

    First off, the best way to specify production mode is to give a specific ID to your production framework. Let’s pick production as an example. Refer manage application.conf in several environments to see how.

    Set the framework in prod mode:

    %production.application.mode=prod
    

    In this mode, the framework will pre-compile all Java sources and templates. If an error is found at this step, the application will not start. Source modifications will not be hot reloaded.

    Define a real database:

    If you have used a development database (either db=mem or db=fs), you should configure a more robust database engine:

    %production.db.url=jdbc:mysql://localhost/prod
    %production.db.driver=com.mysql.jdbc.Driver
    %production.db.user=root
    %production.db.pass=1515312
    

    Disable JPA automatic schema update:

    If you have used the automatic schema update feature provided by Hibernate, you should disable this feature for production.

    For your production server, it’s usually a bad idea to let Hibernate automatically ALTER your production database’s schema and data…

    The initial deployment is potentially a different issue. In this case only specify:

    %production.jpa.ddl=create
    

    Define a secure secret key:

    The Play secret key is used to secure cryptographic functions, like the session signature. Your application must keep this key very secret.

    %production.application.secret=c12d1c59af499d20f4955d07255ed8ea333
    

    You can use the play secret command to generate a new secure and random key (at least on a ‘real’ OS). If you plan to distribute your application to several servers, remember to use the same key for all application instances!

    Configure logging

    For production it’s a good idea to use rolling log files. Do not send logging to the Console, since it will be written to the logs/system.out file and it will grow without bound!

    Create a custom log4j.properties in the conf/ directory:

    log4j.rootLogger=ERROR, Rolling
     
    log4j.logger.play=INFO
     
    # Rolling files
    log4j.appender.Rolling=org.apache.log4j.RollingFileAppender
    log4j.appender.Rolling.File=application.log
    log4j.appender.Rolling.MaxFileSize=1MB
    log4j.appender.Rolling.MaxBackupIndex=100
    log4j.appender.Rolling.layout=org.apache.log4j.PatternLayout
    log4j.appender.Rolling.layout.ConversionPattern=%d{ABSOLUTE} %-5p ~ %m%n
    

    Set-up a front-end HTTP server

    You can easily deploy your application as a stand-alone server by setting the application HTTP port to80:

    %production.http.port=80
    

    But if you plan to host several applications in the same server or load balance several instances of your application for scalability or fault tolerance, you can use a front-end HTTP server.

    Note that using a front-end HTTP server will never give you better performance than using Play server directly!

    Set-up with lighttpd

    This example shows you how to configure lighttpd as a front-end web server. Note that you can do the same with Apache, but if you only need virtual hosting or load balancing, lighttpd is a very good choice and much easier to configure!

    The /etc/lighttpd/lighttpd.conf file should define things like this:

    server.modules = (
          "mod_access",
          "mod_proxy",
          "mod_accesslog" 
    )
    ...
    $HTTP["host"] =~ "www.myapp.com" {
        proxy.balance = "round-robin" proxy.server = ( "/" =>
            ( ( "host" => "127.0.0.1", "port" => 9000 ) ) )
    }
     
    $HTTP["host"] =~ "www.loadbalancedapp.com" {
        proxy.balance = "round-robin" proxy.server = ( "/" => ( 
              ( "host" => "127.0.0.1", "port" => 9000 ), 
              ( "host" => "127.0.0.1", "port" => 9001 ) ) 
        )
    }
    

    Set-up with Apache

    The example below shows a simple set-up with Apache httpd server running in front of a standard Play configuration.

    LoadModule proxy_module modules/mod_proxy.so
    ...
    <VirtualHost *:80>
      ProxyPreserveHost On
      ServerName www.loadbalancedapp.com
      ProxyPass / http://127.0.0.1:9000/
      ProxyPassReverse / http://127.0.0.1:9000/
    </VirtualHost>
    

    Apache as a front proxy to allow transparent upgrade of your application

    The basic idea is to run 2 Play instances of your web application and let the front-end proxy load-balance them. In case one is not available, it will forward all the requests to the available one.

    Let’s start the same Play application two times: one on port 9999 and one on port 9998.

    Copy the application 2 times and edit the application.conf in the conf directory to change the port numbers.

    For each web application directory:

    play start mysuperwebapp
    

    Now, let’s configure our Apache web server to have a load balancer.

    In Apache, I have the following configuration:

    <VirtualHost mysuperwebapp.com:80>
      ServerName mysuperwebapp.com
      <Location /balancer-manager>
        SetHandler balancer-manager
        Order Deny,Allow
        Deny from all
        Allow from .mysuperwebapp.com
      </Location>
      <Proxy balancer://mycluster>
        BalancerMember http://localhost:9999
        BalancerMember http://localhost:9998 status=+H
      </Proxy>
      <Proxy *>
        Order Allow,Deny
        Allow From All
      </Proxy>
      ProxyPreserveHost On
      ProxyPass /balancer-manager !
      ProxyPass / balancer://mycluster/
      ProxyPassReverse / http://localhost:9999/
      ProxyPassReverse / http://localhost:9998/
    </VirtualHost>
    

    The important part is balancer://mycluster. This declares a load balancer. The +H option means that the second Play application is on stand-by. But you can also instruct it to load-balance.

    Every time you want to upgrade mysuperwebapp, here is what you need to do:

    play stop mysuperwebapp1
    

    The load-balancer then forwards everything to mysuperwebapp2. In the meantime update mysuperwebapp1. Once you are done:

    play start mysuperwebapp1
    

    You can now safely update mysuperwebapp2.

    Apache also provides a way to view the status of your cluster. Simply point your browser to /balancer-manager to view the current status of your clusters.

    Because Play is completely stateless you don’t have to manage sessions between the 2 clusters. You can actually easily scale to more than 2 Play instances.

    Advanced proxy settings

    When using an HTTP frontal server, request addresses are seen as coming from the HTTP server. In a usual set-up, where you both have the Play app and the proxy running on the same machine, the Play app will see the requests coming from 127.0.0.1.

    Proxy servers can add a specific header to the request to tell the proxied application where the request came from. Most web servers will add an X-Forwarded-For header with the remote client IP address as first argument. If you enable the forward support in your Play app configuration:

    XForwardedSupport=127.0.0.1,10.0.0.25
    

    Play will change the request.remoteAddress from the proxy’s IP to the client’s IP. You have to list the IP addresses of your proxy servers for this to work.

    However, the host header is untouched, it’ll remain issued by the proxy. If you use Apache 2.x, you can add a directive like:

    ProxyPreserveHost on
    

    The host: header will be the original host request header issued by the client. By combining theses two techniques, your app will appear to be directly exposed.

    Continuing the discussion

    Next: Deployment options.

  • 相关阅读:
    [Javascript] Broadcaster + Operator + Listener pattern -- 9. Create modify, filter, map operators
    [Javascript] Broadcaster + Operator + Listener pattern -- 8. Pass a Done Symbol when an Async Function is Done
    [Javascript] Broadcaster + Operator + Listener pattern -- 7. Create a broadcaster forOf
    [Javascript] Broadcaster + Operator + Listener pattern -- 6. Create a Buffer to Pair Values Together with Zip
    [Functional Programming] Match Function Requirements with Lodash Partial and Flip
    [Javascript] Broadcaster + Operator + Listener pattern -- 5. Merge (Example)
    [React] Performance: Split state update and component render with Hoc
    [React] Optimize context value
    [React] useAsync
    Nodejs.sublime-build 在sublime3中的配置
  • 原文地址:https://www.cnblogs.com/zhiji6/p/4446859.html
Copyright © 2011-2022 走看看