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API Best Practices with Idempotency, eTags, Caching, and other essential features. This guide includes explanations, feature highlights, and the 50-point priority table for making APIs production-ready.

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Below is the extended README structure for the API Best Practices with Idempotency, eTags, Caching, and other essential features. This guide includes explanations, feature highlights, and the 50-point priority table for making APIs production-ready.


API Best Practices with Idempotency, eTags, Caching, and More

This project demonstrates best practices for building robust, production-ready APIs. The API integrates features like idempotency, eTags, caching, pagination, filtering, sorting, and more to optimize performance, scalability, and security.

Key Features

  1. Idempotency: Ensures repeated requests with the same idempotency key do not cause duplicate operations. This feature is especially important for APIs that process critical data (e.g., financial transactions) to avoid unintentional side effects.

    more info

  2. eTags and Caching: eTags help optimize HTTP responses by minimizing bandwidth usage when resources haven't changed, while caching reduces the load on databases by storing frequently requested data in Redis.

    more info

  3. Pagination, Filtering, and Sorting: Improves performance by limiting large datasets, making APIs more flexible and responsive. This feature is essential for APIs returning large datasets.

    more info

  4. Rate Limiting: Controls the number of API requests allowed within a given time period, reducing the risk of abuse or server overload.

    more info

  5. HATEOAS (Hypermedia as the Engine of Application State): Facilitates dynamic navigation and discoverability of resources through hypermedia links included in the API response. HATEOAS ensures the client can interact with the API based on the links provided by the server, enabling a more flexible and evolving API structure.

    more info


Installation

To install and run the project locally:

# Clone the repository
git clone https://github.com/sardul3/io-api-best-practices-boot.git

# Navigate into the project directory
cd io-api-best-practices-boot

# Run the application
./mvnw spring-boot:run

API Endpoints

Endpoint Description Methods
/api/v2/transactions Handles transactions with filtering, sorting, and pagination. GET, POST
/api/v2/transactions/{id} Get a specific transaction by its ID. GET
/api/v2/transactions/{id} Update a transaction. PUT, PATCH
/api/v2/transactions/{id} Delete a transaction. DELETE

Idempotency

Idempotency ensures that repeated requests with the same parameters result in the same operation without causing unintended side effects, especially for operations like financial transactions or resource creation.

How It Works:

  1. A client sends a request with an Idempotency-Key header.
  2. The server stores the result of the request under the key.
  3. If the client sends the same request again with the same key, the server returns the stored result without reprocessing.

Implementation:

  • IdempotencyKeyFilter: Ensures that idempotent requests are tracked, avoiding the possibility of duplicate processing.
  • Persistence Layer: Stores idempotency keys and their associated request responses in Redis.

For more detailed implementation, refer to the Idempotency Documentation.


eTags and Caching

eTags are used to check if the resource has been modified since the last request. Caching is leveraged to store frequently requested data in memory, reducing database load and improving response times.

eTags Implementation:

  • Shallow Validation: Validates if the resource's timestamp has changed.
  • Deep Validation: Validates if the resource's actual content has changed (using a hash).

Redis Caching:

Caching uses Redis to store the results of API queries. When a resource is requested again, the system first checks the cache before querying the database.

For further details, refer to the eTags and Caching Documentation.


Pagination, Filtering, and Sorting

This API supports dynamic filtering, sorting, and pagination to improve performance when returning large datasets.

Pagination:

By default, the API returns paginated data to ensure that clients do not request too much data at once. You can control the page size and page number using query parameters:

  • ?page=0&size=10: Fetches 10 records starting from page 0.

Filtering:

Filters are applied dynamically based on query parameters. Example:

  • ?amount>300: Filters transactions where the amount is greater than 300.

Sorting:

The API supports sorting by multiple fields. Example:

  • ?sort=amount,desc: Sorts transactions by amount in descending order.

For more details, see the Pagination, Filtering, and Sorting Documentation.


Security

The API uses JWT for authentication and authorization. Users must include a valid JWT token in the Authorization header for protected endpoints.

Example:

curl -H "Authorization: Bearer <your-token>" http://localhost:8080/api/v2/transactions

Aspriation

Here's a table with 50 essential features and priorities to make your API robust, production-ready, and REST-compliant. These features cover various aspects like security, performance, documentation, and resilience.

No. Feature Description & Best Practices
1 Idempotency Ensures repeated requests with the same idempotency key don't cause duplicate operations.
2 eTags Provides efficient caching by generating entity tags for shallow or deep validation.
3 Response Caching Improves performance by caching responses to reduce load on the server.
4 Authentication & Authorization Secure access control with OAuth2, JWT, or API keys.
5 Pagination, Filtering, and Sorting Limits large datasets returned to clients and enables query customization.
6 Rate Limiting and Throttling Controls the number of API requests to prevent abuse and server overload.
7 Consistent Error Handling Returns standardized error messages with proper HTTP status codes.
8 HATEOAS Implements hypermedia links in responses for API discoverability.
9 Comprehensive Logging and Monitoring Captures logs and monitors performance, requests, and errors.
10 API Versioning Enables changes without breaking existing clients by versioning the API.
11 Data Validation and Sanitization Validates and sanitizes input data to protect against security vulnerabilities.
12 Automatic API Documentation Generates API docs using tools like Swagger/OpenAPI.
13 Asynchronous Processing & Queuing Handles long-running tasks asynchronously via message queues like Kafka.
14 Global Exception Handling Catches all unhandled exceptions in a consistent way using global handlers.
15 Request and Response Compression Uses Gzip or Brotli to reduce payload size for faster data transfer.
16 Timeouts and Retries Sets timeout limits and retries requests in case of transient failures.
17 API Gateway and Load Balancing Uses an API gateway for routing and balancing traffic across services.
18 Content Negotiation Provides support for multiple response formats (e.g., JSON, XML).
19 Health Checks and Circuit Breakers Implements health check endpoints and circuit breakers to prevent cascading failures.
20 Database Connection Pooling Optimizes database connections through connection pooling (e.g., HikariCP).
21 Dependency Injection and Inversion of Control Uses DI frameworks like Spring for better maintainability and testability.
22 Cross-Origin Resource Sharing (CORS) Allows or restricts resource sharing across different domains.
23 Security Headers Adds security headers like X-Content-Type-Options, Strict-Transport-Security, and X-Frame-Options.
24 Data Encryption (HTTPS/TLS) Encrypts all API communications with TLS to prevent data interception.
25 Role-Based Access Control (RBAC) Grants access based on roles and permissions within JWT or OAuth tokens.
26 Request Validation Schema Implements JSON schema validation to ensure incoming data adheres to defined structures.
27 Bulk Operations Support Provides support for bulk operations (batch inserts, updates) to reduce the number of API calls.
28 Audit Logs Maintains a record of API operations for auditing and compliance purposes.
29 Rate Limiting Alerts and Metrics Integrates rate limiting with monitoring tools for alerting and tracking usage patterns.
30 Graceful Shutdown Ensures in-flight requests are handled properly during API shutdown.
31 API Client SDK Generation Provides auto-generated SDKs for various programming languages using OpenAPI or Swagger.
32 Multi-tenancy Support Supports multiple tenants or clients with isolation for data and configuration.
33 Transactional Integrity Implements proper transaction management to ensure data consistency.
34 API Deprecation Policy Clearly communicates when versions will be deprecated and provides transition plans.
35 WebSockets for Real-Time Communication Supports real-time updates with WebSockets for scenarios like live notifications.
36 Rate Limiting Exemptions Allows certain trusted clients to bypass rate limits (e.g., internal services).
37 API Metrics and Analytics Tracks usage metrics and performance analytics for monitoring and optimization.
38 Background Job Scheduling Handles tasks that need to be executed later or at intervals using job schedulers like Quartz.
39 Request Correlation IDs Adds correlation IDs to requests to enable tracking across multiple microservices.
40 Webhook Support Allows clients to register webhooks for asynchronous event-driven notifications.
41 Internationalization (i18n) Supports multiple languages in responses to cater to a global user base.
42 Token Expiration and Refresh Mechanism Provides a secure and scalable mechanism for handling token expiration and refresh tokens.
43 Concurrency Control (Optimistic/Pessimistic Locking) Prevents data conflicts in concurrent environments by locking mechanisms.
44 Custom Middleware for Preprocessing Provides hooks for custom logic to run before request processing (e.g., logging, rate limiting).
45 Swagger-UI for Interactive API Testing Uses Swagger-UI to allow developers to test API endpoints directly from documentation.
46 Event Sourcing Implements event-driven architectures where state changes are stored as events (e.g., with CQRS).
47 Resource Naming Consistency Follows RESTful conventions for resource naming (/users, /orders/{id}).
48 Scalability (Horizontal and Vertical) Ensures the API can scale by adding more instances (horizontal) or resources (vertical).
49 Caching Headers (Expires, Cache-Control) Uses caching headers to inform clients how long they can cache responses.
50 Database Indexing Optimizes database performance with proper indexing of frequently queried fields.

Conclusion

This project is designed to showcase best practices for building robust, scalable, and production-ready APIs. Through idempotency, caching, pagination, filtering, and sorting, it ensures that APIs are efficient, resilient, and easy to use.

For more details, please refer to the specific sections in the linked documentation or contact the team for further guidance.

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