Discover why it's time to rethink REST APIs and embrace GraphQL with JavaScript for optimized server communication.
Why Move from REST to GraphQL?
REST has been the go-to method for interacting with servers for decades, but with the rapid evolution in software development, it's essential to assess whether it still fits today's needs. Let's explore some common issues associated with REST APIs and how GraphQL addresses them.
Common REST API Challenges
1. Many Concurrent Requests
Apps often make numerous concurrent REST API calls, which can slow down performance, especially on mobile devices with weak connections, leading to a poor user experience. GraphQL solves this by consolidating all data queries into a single server request, significantly enhancing performance.
2. Multiple Round Trips (Under-fetching & N+1 Problem)
REST API calls can require multiple round trips to gather data, resulting in slower apps and increased server load. GraphQL allows rich queries in one request, mitigating the N+1 problem.
3. Over-fetching Data
REST APIs may provide more data than needed, leading to unnecessary bandwidth usage and reduced performance. GraphQL enables precise data fetching, ensuring you only receive what you request.
4. Discoverability & Documentation
Understanding existing REST APIs can be daunting without proper documentation. GraphQL's features facilitate the creation of developer tools like GraphiQL, enhancing API discoverability.
5. Slow Development
Waiting on backend developers can hinder progress. With GraphQL, frontend adjustments often don't require backend changes, allowing faster feature releases and improved agility.
6. Custom Endpoints & Duplicate Code
To overcome REST limits, developers create custom endpoints, but this leads to duplicated server-side code. GraphQL reuses server-side code across different queries by default.
These are just a few REST API problems. GraphQL solves these and more, which you'll explore in this course.
Course Overview
If you're a JavaScript developer eager to improve application performance and the developer experience, this course is tailored for you.
Course Structure
GraphQL: Two Core Components
A Query Language for data retrieval.
A Server Runtime for fulfilling queries.
Learning Objectives
- Explore scalar and object types, query parameters, variables, and more.
- Understand GraphQL server setup using Node.js and PostgreSQL.
- Learn to build and connect a GraphQL server for a project app.
Pre-requisites
Familiarity with modern JavaScript is essential for this course.
Project Highlight
You will develop Hacker Book Review – a book review app, by creating and connecting GraphQL queries and servers.
Instructor Approach
I prioritize practical content with clear visuals and animations. Courses are concise, well-structured, and high-quality.
Course Details
- Course Length: Over 5 hours of targeted content split across more than 50 videos and hands-on exercises.
- Completion Time: Flexible pacing; complete over a weekend or at your leisure.
- Learning Outcome: Gain in-depth understanding and practical skills to create and use GraphQL servers.
Requirements
- Familiarity with Modern JavaScript
- A desire to learn cutting-edge technology
Target Audience
- Frontend and Backend JavaScript developers keen to understand and apply GraphQL APIs
What You'll Learn
- Understand the benefits of GraphQL over REST APIs.
- Learn how GraphQL addresses over-fetching and under-fetching issues.
- Discover how to minimize concurrent HTTP requests using GraphQL.
- Avoid the N+1 problem with efficient data fetching.
- Enhance API discoverability with GraphQL features.
- Build and utilize GraphQL APIs from scratch with JavaScript.
- Achieve superior application performance and team agility with GraphQL.