chanika on Nostr: Top 9 Architectural Patterns for Data and Communication Flow . . 🔹 Peer-to-Peer ...
Top 9 Architectural Patterns for Data and Communication Flow
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🔹 Peer-to-Peer
The Peer-to-Peer pattern involves direct communication between two components without the need for a central coordinator.
🔹 API Gateway
An API Gateway acts as a single entry point for all client requests to the backend services of an application.
🔹 Pub-Sub
The Pub-Sub pattern decouples the producers of messages (publishers) from the consumers of messages (subscribers) through a message broker.
🔹 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.
🔹 Event Sourcing
Event Sourcing involves storing the state changes of an application as a sequence of events.
🔹 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.
🔹 Batching
Batching involves accumulating data over a period or until a certain threshold is met before processing it as a single group.
🔹 Streaming Processing
Streaming Processing allows for the continuous ingestion, processing, and analysis of data streams in real-time.
🔹 Orchestration
Orchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to achieve a workflow or business process.
cr. ByteByteGo
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🔹 Peer-to-Peer
The Peer-to-Peer pattern involves direct communication between two components without the need for a central coordinator.
🔹 API Gateway
An API Gateway acts as a single entry point for all client requests to the backend services of an application.
🔹 Pub-Sub
The Pub-Sub pattern decouples the producers of messages (publishers) from the consumers of messages (subscribers) through a message broker.
🔹 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.
🔹 Event Sourcing
Event Sourcing involves storing the state changes of an application as a sequence of events.
🔹 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.
🔹 Batching
Batching involves accumulating data over a period or until a certain threshold is met before processing it as a single group.
🔹 Streaming Processing
Streaming Processing allows for the continuous ingestion, processing, and analysis of data streams in real-time.
🔹 Orchestration
Orchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to achieve a workflow or business process.
cr. ByteByteGo