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Improving Performance with IndexedDB and Caching

This is the repository for the LinkedIn Learning course Improving Performance with IndexedDB and Caching. The full course is available from LinkedIn Learning.

Improving Performance with IndexedDB and Caching As developers strive to create web applications that work efficiently and can tolerate unreliable network connections, caching and local storage approaches become increasingly critical. In many cases, leveraging the IndexedDB API and key caching strategies can offer huge software performance boosts. In this course, instructor Mike Oram delves into what caching and the IndexedDB API are, as well as how to work with them to boost your application's performance. Learn about the pros and cons of different caching strategies, how to implement caching in your application, and how to assess the subsequent performance gains. Plus, review techniques for storing, retrieving, and updating data with IndexedDB, including different strategies for storing dynamic data on the client side.

Instructions

This repository has branches for each of the videos in the course. You can use the branch pop up menu in github to switch to a specific branch and take a look at the course at that stage, or you can add /tree/BRANCH_NAME to the URL to go to the branch you want to access.

Branches

The branches are structured to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter. Some branches will have a beginning and an end state. These are marked with the letters b for "beginning" and e for "end". The b branch contains the code as it is at the beginning of the movie. The e branch contains the code as it is at the end of the movie. The master branch holds the final state of the code when in the course.

Installing

  1. To use these exercise files, you must have the following installed:
    • Firefox or Chrome
    • NPM
    • An IDE e.g. VSCode or WebStorm
  2. Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
  3. To run the application, navigate to the repository in terminal or CMD and run npm install. This will take a few seconds to finish installing the application. Once finished, run npm start, this will start the application and open it in your default web browser, at localhost:8080

Instructor

Mike Oram

Academy Lead at Mayden Academy

Check out some of my other courses on LinkedIn Learning.

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