Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Using Memcached and Varnish to Speed Up Your Linux Web App (2017)

    Posted By: naag
    Using Memcached and Varnish to Speed Up Your Linux Web App (2017)

    Using Memcached and Varnish to Speed Up Your Linux Web App
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 269 MB
    Genre: eLearning | Language: English

    Caching is an effective way to speed up and scale your website or web application with minimal code changes. This course will teach you how to use two common caching tools so you can vastly increase speed and capacity in minutes.

    Does your code make users wait for a slow process to complete, or overload your server? Optimizing for performance can be very difficult and result in code that you can't maintain. Good caching allows you to avoid that most of the time and get vastly better speed and scalability with little change to your code. It can also be applied to any Linux-based web application regardless of the language and database. In this course, Using Memcached and Varnish to Speed Up Your Linux Web App, you're going to see how caching tools can quickly make your website faster and more scalable. First, you'll learn how to get started quickly with Memcached and Varnish and learn how to tune them for the best performance in each use case. Next, you'll discover how to use advanced features that increase your uptime. Finally, you'll explore how to mix cached content and dynamic content with Varnish. By the end of this course, you'll know how to resolve the biggest performance pain points in your application using caching tools.

    Using Memcached and Varnish to Speed Up Your Linux Web App (2017)