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There is an application built on Laravel and the application should be ready for a load of 1000 requests per second.
I have done the below tasks:
1- Composer autoload has been dumped
2- Query results are cached
3- All views have been minified
What else should I consider ?
(App runs on docker container)
How are you measuring if you reach the TPS? I would first get a baseline in order to know if your far of and based on that start looking into which part of your application stack (this includes the web and database server and other services used.) Tools that are available to use are JMeter or Apache Bench
In order to reach the 1000 TPS you'll need to tweak the webserver to allows for this type of loads. How to approach this is dependent on the webserver used. So it is difficult to provide you with specifics.
With regards to your DB server there are tools available to benchmark them as well such as pgBadger(postgres) or log files specific for the slow queries.
Ultimately you would also like to be on one of the latests PHP version as they are quite some performance gains in every new version. Currently the latest released PHP version is 7.4
In my opinion these tweaks would have a greater performance gain then tweaking the PHP code (assuming there is no mis-use of php). But this of course depends on the specifics of you application.
Optionally you should also be able to scale vertically (oppose of horizontally) to increase the TPS every time with the number of TPS per application server.
Tips to Improve Laravel Performance
Config caching,
Routes caching.
Remove Unused Service.
Classmap optimization.
Optimizing the composer autoload.
Limit Use Of Plugins.
Here is full detailed article click
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Am planning to install Moodle in Amazon EC2 with ELB. The approach am thinking of is couple of Moodle intance and couple of DB instances. each Moodle instance points the DB instances through a load balancer and each DB syncs automatically.
Please advice will it works.
I don't think that there is an option to have multiple DB instances in AWS synchronized between each other and all being both read and write. It seems they can only have read replicas, see here: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html and https://aws.amazon.com/rds/mysql/ (Replication chapter).
Also, it would also be a big overhead to synchronize a high number of DB instances. Will this be synchronous? In that case it would leave a performance penalty.
The best option would be to have a number of Moodle instances behing a LB, all of them pointing to the same DB. I do not think the bottleneck sits in the DB. If you also tune the DB, add some performant storage (SSDs, see the link above for details) everything should be ok.
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For one of my simple appplications, all the routing is handled by nginx. I just put the php files in the directory referenced and they are serve requests: no framework is used. I am trying to migrate this scheme to Scala: I want to do it by gradually replacing each php script with one in Scala.
Is there a Scala counterpart of a php server that can automatically compile and serve all scala files under a directory? So that when I put code in /book/new.scala, /book/buy.scala, /user/login/auth.scala, etc, the server would compile and serve all of them for corresponding requests?
In the strictest technical sense, Scala can be used as a "scripting language," but it's rather limited in what can be reasonably done that way.
As others have commented, you should make a proper server for or out of you Scala application. There are many options from simple and lightweight to big and fancy. Most use the Java Servlet Container, but some implement their own HTTP server side.
You have many options to choose from, but "scripting" really is not among the viable ones.
You might look at the Lift Framework, and aim to only use the endpoint/RESTful part of the framework. In this way you can identify key requests to the webserver and pass them off to Scala-based code. Lift would manage the webserver part of everything.
That said, this is a very strange way to manage a web application, and harkens back to the 90s-era CGI-script based architectures. Ask yourself why you're attempting to model things this way before proceeding, and ask if the difficulty of running two containers (php and Scala) is really worth the trouble in order to 'ease' migration.
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I need to get the status of services across a large number of servers in order to calculate uptime percentages. I may need to use multiple servers to do the checking. Does anyone know of a reliable way to queue them to be checked at a specific time/interval?
I'm writing the application in PHP, but I'm open to using other languages and tools for this. My only requirement is that it must run on Linux.
I've looked into things like Gearman for job queuing, but I haven't found anything that would work well.
Inorder to get uptime percentages of your services you can execute commands to check status of services and log them for further analysis/calculations. Following are some of the ways of doing same:
System commands like top, free -m, vmstat, iostat, iotop, sar, netstat etc. Nothing comes near these linux utility when you are analysing/debugging a problem. These commands give you a clear picture of what is going inside your server
SeaLion: Agent executes all the commands mentioned in #1 and custom commands as well. Outputs of these commands can be accessed in a beautiful web interface. This tool comes handy when you are working across hundreds of servers as installation is clear simple. And its FREE
Nagios: It is the mother of all monitoring/alerting tools. It is very much customizable but very difficult to setup for beginners. Although there are some nagios plugins.
Munin
Server density: A cloudbased paid service that collects important Linux metrics and gives users ability to write own plugins.
New Relic: Another well known hosted monitoring service.
Zabbix
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I am creating a website and am expecting somewhat normal usage. I am setting up the system for now with 1 Apache Server and 2 DB servers. I want any DB operations to be reflected in both DB servers so that I can have 1 server as Backup. Now how do I do it ?
The ways I can think of are :
Perform same operations in both DB from PHP. This seems like a terrible idea.
Update 1 DB and sync both DB servers periodically. This seems better.
Is there any better way to achieve this ? How is it done in Enterprises ?
If you're using MySQL, there is quite powerful built-in replication.
Check out the docs
A terrible idea is to have backup each time a new operation happens. No modern, nor old application works this way. Even Windows System Restore makes backup on scheduled times, not on each operation.
I'd suggest you to make an sql dump script. And schedule a cron job wich will run it once a day, or twice a day. If you really need the data on the server immediately (assuming, you need if one of the DB servers crashes, your app continue working immediately with the backup server) you can make an import script, which will run once the dump finishes.
If you are not in the special case, when you need once the first DB server is shutdown'd, to have another one opened, you can just store the dumped sql files on the machine and not load them on real database, if they are not needed.
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I have leased VPS with 2GB mem.
Problem i have is that i have few joomla installations and server get in to very slow response if there is more than 30-50 users attached at same time.
Do you have any tips, books/tutorials/suggestions how to increase response time in this situation?
Pls. give me only very concrete and useful URLs, i would be very grateful.
In attachment i attached just part of htop view on that VPS
The easiest and cheapest thing you can do is to install a bytecode cache, e.g. APC. Thus, php does not need to process every file again and again.
If you're on Debian or Ubuntu this is as easy as apt-get install apc.
I'm going to guess that most of our issues will come from joomla - I'd start by looking through this list: https://stackoverflow.com/search?q=joomla+performance
Other than that, you might want to investigate a php accelerator: http://en.wikipedia.org/wiki/List_of_PHP_accelerators
If you have any custom sql, you might want to check your sql queries are making good use
of indexes
A quick look at your config suggests your using apache pre fork - you might want to try
using threaded worker mode, though always benchmark each config change you make (apache
comes with a benchmarking tool) to ensure any changes have a positive effect.
Some other links..
http://www.brandonturner.net/blog/2009/07/fastcgi_with_php_opcode_cache/
Though this is for wordpress, the principals should still apply.
http://blog.mydream.com.hk/howto/linux/performance-tuning-on-apache-php-mysql-wordpress
A couple of things to pay close attention to.
You never want your server to run out of memory. Ensure any apache config limits the
number of children to within your available memory.
Doing SHOW PROCESSLIST on mysql and looking for long running queries can highlight some
easy wins, as nothing kills performance like a slow sql query.