Top 9 Architectural Patterns for Data and Communication Flow - Blog

SK Chand Basha
Giga Sage

 

Hello Everyone,

Welcome to our exploration of the top 9 system integration patterns! In today's interconnected digital landscape, the seamless flow of data and communication between different components is essential for the smooth operation of applications and systems. Whether you're a seasoned developer, a tech enthusiast, or just curious about how the digital world works behind the scenes, understanding these integration patterns can provide valuable insights into the architecture of modern systems.

Let's dive right in and explore each of these integration patterns, shedding light on their purpose, implementation, and real-world applications. From the simplicity of Peer-to-Peer communication to the intricacies of Event Sourcing and Streaming Processing, we'll unravel the complexities of system integration one pattern at a time.

 

1.Peer-to-Peer

The Peer-to-Peer pattern involves direct communication between two components without the need for a central coordinator.

 

2.API Gateway

An API Gateway acts as a single entry point for all client requests to the backend services of an application.

 

3.Pub-Sub

The Pub-Sub pattern decouples the producers of messages (publishers) from the consumers of messages (subscribers) through a message broker.

 

4.Request-Response

This is one of the most fundamental integration patterns, where a client sends a request to a server and waits for a response.

 

5.Event Sourcing

Event Sourcing involves storing the state changes of an application as a sequence of events.

 

6.ETL

ETL is a data integration pattern used to gather data from multiple sources, transform it into a structured format, and load it into a destination database.

 

7.Batching

Batching involves accumulating data over a period or until a certain threshold is met before processing it as a single group.

 

8.Streaming Processing

Streaming Processing allows for the continuous ingestion, processing, and analysis of data streams in real-time.

 

9.Orchestration

Orchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to achieve a workflow or business process.

 

Below i have attached a GIF for better understanding .

 

Mark it Helpfull !! If this helps you understand.

 

Happy Learning !!

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