RESTful API Explained: The Ultimate Guide (Part 2)
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Software Engineering | 24 May 2023 |   13 min

RESTful API Explained: The Ultimate Guide (Part 2)

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Folks, in Part 1 of this blog series, you have read about key concepts of RESTful API and how it works. Part 1 also explored key design principles and the future.

In this blog, let’s explore some best practices. Allow me to also share my take on load balancing techniques as well as authentication and authorization.

Best practices to design a RESTful API

To design a REST API, it’s important to follow best practices. These ensure that the API is well-organized, easy to use, and scalable.

Here are some key RESTful API best practices:

Some key best practices for REST API design Nitor Infotech

Fig 1: Best practices for REST API design

Use nouns for resource endpoints: REST APIs are based on resources. So, use nouns instead of verbs to name your endpoints. For example, instead of “/createUser”, use “/users” to create, read, update, and delete user resources.

Use versioning: Use versioning to maintain backward compatibility and allow the API to evolve over time. Include the version number in the URL, for example, “/v1/users”.

Use plural for collections: Use plural nouns for collections of resources, such as “/users” for a collection of users.
Use nested resources for relationships: Use nested resources to represent relationships between resources. For example, “/users/123/orders” would return all orders for the user with ID 123.

Use hypermedia: Use hypermedia links. This will help clients to navigate your API and discover resources. This makes your API more self-documenting and easier to use.

Use HTTP methods appropriately: Use HTTP methods like GET, POST, PUT and DELETE in the way they are intended to be used. Use:

  • GET to read data
  • POST to create data
  • PUT to update data
  • DELETE to delete data

Use HTTP status codes properly: Use HTTP status codes correctly to convey the result of the request. For example, use:

  • 200 for successful requests
  • 201 for created resources
  • 404 for not found
  • 400 for bad requests

Use pagination for long lists: For long lists of resources, use pagination to limit the amount of data returned in a single request. This helps to keep response times fast and reduce network traffic.

Use query parameters for filtering and sorting: Use query parameters to allow clients to filter and sort resources. For example, “/users?sort=lastName&filter=active” would return all active users sorted by last name.

Use JSON for data exchange: Use JSON as the data format for requests and responses. JSON is lightweight and easy to use. It is widely supported by different programming languages and platforms.

These best practices can help you to ensure that your REST API is well-organized, easy to use, and scalable.

Now, let’s turn to load balancing techniques.

Load balancing techniques used in RESTful API architectures

Load balancing is an important technique used in RESTful API architectures. It is meant to distribute traffic across multiple servers or nodes. It also ensures high availability and performance.

The choice of load balancing REST API technique will depend on the specific requirements of the application and the characteristics of the servers being used.

Here are some load balancing techniques commonly used in RESTful API architectures:

Load balancing techniques commonly used in RESTful API

Fig 2: Load balancing techniques commonly used in RESTful API architectures

IP hash load balancing: In IP hash load balancing, the source IP address of each request is used to determine which server should handle the request. This technique ensures that all requests from the same client are sent to the same server. This can help with caching and session management.

Content-based load balancing: Content-based load balancing uses the content of the request to determine which server should handle the request. This can be useful for applications with specific content requirements. It may also be useful for routing requests to specific servers based on their capabilities.

Round-robin load balancing: In round-robin load balancing, requests are distributed evenly across all available servers in a circular manner. This is a simple and effective technique. But it may not be suitable for unevenly sized servers or when some servers are overloaded.

Weighted round-robin load balancing: Weighted round-robin load balancing is like round-robin load balancing, but with weights assigned to each server. Servers with higher weights receive more traffic. This technique is useful for balancing unevenly sized servers.

Least connection load balancing: In least connection load balancing, incoming requests are sent to the server with the fewest active connections. This technique is useful when servers have varied capacity and some servers may be underutilized.

Session persistence: Session persistence ensures that all requests from the same client are sent to the same server. This is even if the load balancer would normally direct the requests to different servers. This is important for applications that require session state or that rely on server-side caching.

Now, let’s focus on authentication and authorization.

Authentication and Authorization in RESTful APIs

By implementing these techniques and best practices, you can ensure that your RESTful API is secure and protected against unauthorized access, data breaches, and other security threats.

Authentication and authorization are critical aspects of RESTful API development. These ensure that only authorized users can access the API and perform specific actions.

Here are some techniques and best practices for authentication and authorization in REST API:

Authentication

Authentication is the process of verifying the identity of a user. There are several RESTful API authentication methods, including:

Ways to authenticate users in RESTful APIs Nitor Infotech

Fig 3: Ways to authenticate users in RESTful APIs

Basic authentication: Basic authentication is a simple authentication mechanism where the user provides their username and password with each request. The server verifies the credentials and grants access if they are valid. This mechanism is not recommended for sensitive information. The reason is that the credentials are transmitted in plain text.

Token-based authentication: Token-based authentication involves generating a unique token for each user. The token is then used to authenticate the user with each request. This mechanism is more secure than basic authentication as the token can be encrypted and is not transmitted with each request.

OAuth2: OAuth2 is a widely used authentication framework that allows third-party applications to access user data on a resource server. This mechanism involves obtaining an access token that is used to authenticate the user and authorize access to specific resources.

Authorization

Authorization is the process of granting access to specific resources based on the user’s identity and permissions. There are several ways to authorize users, including:

Ways to authorize users in RESTful APIs Nitor Infotech

Fig 4: Ways to authorize users in RESTful APIs

Role-based access control: RBAC involves assigning roles to users and granting access to resources based on their role. This mechanism is simple to implement and manage. But it can become complicated when there are many roles and permissions to manage.

Attribute-based access control: ABAC involves granting access to resources based on user attributes, such as their department or job title. This mechanism is more flexible than RBAC. This is because access can be granted based on multiple attributes.

Permission-based access control: Permission-based access control involves granting access to specific resources based on user permissions. This mechanism is more fine-grained than RBAC and ABAC. But it can become complex to manage as the number of resources and permissions grows.

Well, I trust my blog has acquainted you with some key practices to ease your REST API journey!

Send us a mail with your thoughts and visit us at Nitor Infotech to learn more about us.

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Uddhav Dandale

Lead Engineer

Uddhav Dandale is a seasoned lead engineer with extensive experience in the REST platform and full-stack .NET environment. He has a passion for designing and implementing high-quality software solutions. He is known for his strong technical skills and strategic thinking. Throughout his career, he has honed his expertise in RESTful web services, API design and development, and microservices architecture. He is also proficient in various .NET technologies such as ASP.NET, C#, and SQL Server, and has a solid understanding of front-end frameworks like Angular.

   

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