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GraphQL Typescript Server

Track :

Programming

Lessons no : 33

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What will you learn in this course?
  • Create strongly-typed GraphQL schemas using TypeScript for reliable API development
  • Implement GraphQL resolvers with TypeScript to enhance server performance and maintainability
  • Design scalable GraphQL APIs leveraging TypeScript's type safety and modern JavaScript features
  • Integrate GraphQL with TypeScript to improve developer experience and reduce runtime errors
  • Utilize TypeScript interfaces and types to define clear GraphQL data models and queries
  • Debug and troubleshoot GraphQL TypeScript servers effectively for robust API deployment
  • Optimize GraphQL server performance through TypeScript best practices and type validation
  • Build secure GraphQL APIs with TypeScript to prevent common vulnerabilities and data leaks
  • Document GraphQL APIs using TypeScript to ensure clear, maintainable, and developer-friendly code
  • Apply testing strategies to GraphQL TypeScript servers for reliable and predictable API responses

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Lessons | 33
GraphQL Typescript Server Boilerplate Introduction
00:05:09

GraphQL Typescript Server Boilerplate Introduction
Setting up a TypeORM Project Part 0
00:10:35

Setting up a TypeORM Project Part 0
Creating a TypeORM Entity Part 1
00:15:42

Creating a TypeORM Entity Part 1
Creating a User into with TypeORM Part 2
00:15:20

Creating a User into with TypeORM Part 2
Setting up Jest Part 3
00:14:37

Setting up Jest Part 3
Setting up a Test Database with TypeORM Part 4
00:11:31

Setting up a Test Database with TypeORM Part 4
Getting GraphQL Yoga and Jest to work together Part 5
00:09:25

Getting GraphQL Yoga and Jest to work together Part 5
GraphQL Schema Stitching Part 6
00:14:22

GraphQL Schema Stitching Part 6
Handling Errors in GraphQL Part 7
00:11:45

Handling Errors in GraphQL Part 7
GraphQL Validating Input Part 8
00:20:44

GraphQL Validating Input Part 8
Email Confirmation Link with Redis Part 9
00:21:59

Email Confirmation Link with Redis Part 9
Jest Global Setup Part 10
00:08:50

Jest Global Setup Part 10
Testing Redis Email Link Part 11
00:18:18

Testing Redis Email Link Part 11
Fixing Connection Error Part 12
00:20:54

Fixing Connection Error Part 12
Send Confirmation Email with SparkPost Part 13
00:11:48

Send Confirmation Email with SparkPost Part 13
GraphQL Login Mutation Part 14
00:22:32

GraphQL Login Mutation Part 14
Express Session for Login Part 15
00:17:08

Express Session for Login Part 15
GraphQL Middleware Part 16
00:29:43

GraphQL Middleware Part 16
Running Jest Tests Sequentially Part 17
00:08:57

Running Jest Tests Sequentially Part 17
Logging or Authentication GraphQL Middleware Part 18
00:15:55

Logging or Authentication GraphQL Middleware Part 18
Simple Logout with GraphQL Part 19
00:16:03

Simple Logout with GraphQL Part 19
Building a GraphQL Server Test Client Part 20
00:17:34

Building a GraphQL Server Test Client Part 20
Logout of Multiple Sessions Part 21
00:14:58

Logout of Multiple Sessions Part 21
Forgot Password Test Case Part 22
00:15:27

Forgot Password Test Case Part 22
Lock User Account GraphQL Part 23
00:08:18

Lock User Account GraphQL Part 23
GraphQL Forgot Password Implementation Part 24
00:29:46

GraphQL Forgot Password Implementation Part 24
Rate Limiting Part 25
00:08:19

Rate Limiting Part 25
Twitter OAuth Part 26
00:26:49

Twitter OAuth Part 26
OAuth Demo with React Part 27
00:04:05

OAuth Demo with React Part 27
GraphQL Typescript Server Conclusion
00:03:07

GraphQL Typescript Server Conclusion
Getting the Jest tests to run in Parallel Part 28
00:08:31

Getting the Jest tests to run in Parallel Part 28
Merging a Modular GraphQL Schema Part 29
00:09:42

Merging a Modular GraphQL Schema Part 29
Removing the Race Conditions from the Tests Part 30
00:06:53

Removing the Race Conditions from the Tests Part 30


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Kavya Kavi

Good 2023-08-02

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GraphQL can offer a better developer experience when used with TypeScript because they are both typed language. TypeScript is a typed superset of JavaScript that extends it by adding types. So, using these technologies together will certainly help you to build predictable and strongly-types APIs .