Hire Dedicated Laravel Developer

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7 Tips For Improved Performance For Laravel Developers I've been doing a lot of work with Laravel recently. The framework is an absolute joy to work with, but it isn't perfect. I have found that the default configuration settings are geared towards developer happiness rather than optimal performance for production servers. Every framework has its trade-offs and this is where customising your configuration files comes in handy. You can increase performance by making a few simple changes without having to sacrifice comfort or spend hours trying to understand how everything ticks behind the scenes. To help get you started here are seven tips to hire dedicated Laravel developer. 1. Use Apc Or Xcache To Cache Composer Dependencies Composer downloads all of its packages into memory during installation. This means every time you install a package on your production server, you're loading a lot of unnecessary files from disk when it comes to getting started with your project. Most caching systems have the ability to store data in shared memory so that multiple processes can access them much quicker than if they had to do a database lookup every time. In PHP, APC is the standard and has been around for a long time but XCache seems to have better performance. I'm not going to go in-depth about either because there's already a great tutorial on the subject. 2. Use Moustache or Twig for your views instead of plain PHP Moustache and Twig are template languages that provide safe programming practices while allowing you to write clean, reusable code. I strongly recommend using one of these instead of raw PHP (even if it is heavily abstracted through an ORM like Eloquent) because there's no need to put business logic into your view files. These languages also offer plenty of functionality that will save you time in the future such as inheritance, loops, conditionals and access to Laravel helpers . 3. Cache queries with Redis Redis can be used as a stateless in-memory cache backend but it has so much more to offer. You can also use it as a persistent datastore and implement pub/sub messages which make it great for inter-process communication (e.g your web server process notifying another worker to perform some task). Everything stored in Redis is keyed by an unique string. This means that you can store cached queries that are prefixed with the table name, model name and query parameters - this separates them from any other data stored on your server (and will www.allianceinternational.co.in


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