Communication-Protocols
Communication Protocols refer to a set of rules and conventions that determine how data is transmitted and received between different parts of a software system or between different systems. These protocols enable interoperability and ensure that data exchange is performed in a standardised and predictable manner.
Goal
The goal of defining and implementing communication protocols is to ensure reliable, secure, and efficient data exchange across different components of a software system, thereby enhancing system integration, scalability, and maintainability.
Context
An API is the user experience of a technical product. Like how end-user products can have very different levels of usability, so can APIs. The design and management of APIs are critical to the success of a product, as they determine how easily developers can integrate with the product and how effectively the product can be extended and maintained.
Formats
Format | Description | Use Cases |
---|---|---|
RESTful APIs | A stateless architecture style for designing networked applications, using HTTP to make calls between machines. | Web applications, mobile applications, IoT devices. |
GraphQL | A query language for APIs and a runtime for executing those queries, allowing clients to request exactly the data they need. | Data-intensive applications, complex data requirements, and real-time data updates. |
gRPC | A high-performance, open-source universal RPC framework, using protocol buffers as the interface definition language. | Microservices, distributed systems, and performance-critical applications. |
WebSocket | A protocol providing full-duplex communication channels over a single TCP connection for real-time data transfer. | Real-time applications, chat applications, and live data streaming. |
Inputs
Artifact | Description |
---|---|
User Stories | Detailed descriptions of the functionality, performance criteria, and interfaces needed for each component. |
Outputs
Artifact | Description | Benefits |
---|---|---|
API Documentation | Comprehensive documentation that describes how to interact with the APIs, including endpoints, request/response formats, and examples. | Facilitates integration, reduces development time, and improves collaboration between teams. |
Anti-patterns
- Protocol Soup: Using too many different protocols within the same system, leading to complexity and integration challenges.
- Ignoring Developer Experience: Designing APIs without considering the ease of use for developers, leading to poor adoption and feedback.
- Lack of Versioning Strategy: Failing to implement a clear versioning strategy, resulting in breaking changes that disrupt dependent services.
- Over-Fetching and Under-Fetching: Not providing enough flexibility in data retrieval, forcing clients to make multiple requests or receive unnecessary data.
- Insufficient Security Measures: Overlooking API security, making the system vulnerable to attacks and data breaches.
- Neglecting Rate Limiting: Failing to impose rate limits, which can lead to system overload and degrade performance for all users.