chanika on Nostr: Top 9 Architectural Patterns for Data and Communication Flow . . 🔹 Peer-to-Peer ...
Top 9 Architectural Patterns for Data and Communication Flow
.
.
🔹 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
Published at
2024-07-17 11:56:19Event JSON
{
"id": "5dcbf19f47488f66b0ec8cca2cfa39c942201214c4a846c5b164a79c953122d8",
"pubkey": "44397767dab844f1b8655877effa6b053a527fb108281fb8fe2b9b3e4db0b07f",
"created_at": 1721217379,
"kind": 1,
"tags": [
[
"imeta",
"url https://image.nostr.build/0f086811ce17550652f8972885506c8f82cc491d672f0cc21499c399436308fb.gif",
"blurhash e5AdNAV,1Twairr*K=a9oZW8%++l8PS1rK^gNpz;xwO?_3Rh:kcYKQ",
"dim 800x1040"
],
[
"r",
"https://image.nostr.build/0f086811ce17550652f8972885506c8f82cc491d672f0cc21499c399436308fb.gif"
]
],
"content": "Top 9 Architectural Patterns for Data and Communication Flow \n. \n. \n🔹 Peer-to-Peer \nThe Peer-to-Peer pattern involves direct communication between two components without the need for a central coordinator. \n \n🔹 API Gateway \nAn API Gateway acts as a single entry point for all client requests to the backend services of an application. \n \n🔹 Pub-Sub \nThe Pub-Sub pattern decouples the producers of messages (publishers) from the consumers of messages (subscribers) through a message broker. \n \n🔹 Request-Response \nThis is one of the most fundamental integration patterns, where a client sends a request to a server and waits for a response. \n \n🔹 Event Sourcing \nEvent Sourcing involves storing the state changes of an application as a sequence of events. \n \n🔹 ETL \nETL 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. \n \n🔹 Batching \nBatching involves accumulating data over a period or until a certain threshold is met before processing it as a single group. \n \n🔹 Streaming Processing \nStreaming Processing allows for the continuous ingestion, processing, and analysis of data streams in real-time. \n \n🔹 Orchestration \nOrchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to achieve a workflow or business process. \ncr. ByteByteGo https://image.nostr.build/0f086811ce17550652f8972885506c8f82cc491d672f0cc21499c399436308fb.gif ",
"sig": "8b722e8fd92d31dbf206c4a556f87c5b6ed5fafc384057d432f8ada0fe525991161756482ff5d87fd19ed2f63b958d05887d162f384a4d7acb0765261eb51b2e"
}
