Backend · Real-Time & Streaming

Real-Time & Streaming developer concepts

Learn 57 Real-Time & Streaming concepts for Backend development, with definitions, aliases, and ready-to-use AI prompts.

Connection styles

Real-time connection

Defines the real-time connection concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Real-time connection pattern, Real-Time & Streaming real-time connection, Real-time connection implementation
AI prompt: Implement production-ready Real-time connection for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

WebSocket

Defines the webSocket concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: WebSocket pattern, Real-Time & Streaming websocket, WebSocket implementation
AI prompt: Implement production-ready WebSocket for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

WebSocket handshake

Defines the webSocket handshake concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: WebSocket handshake pattern, Real-Time & Streaming websocket handshake, WebSocket handshake implementation
AI prompt: Implement production-ready WebSocket handshake for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

WebSocket frame

Defines the webSocket frame concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: WebSocket frame pattern, Real-Time & Streaming websocket frame, WebSocket frame implementation
AI prompt: Implement production-ready WebSocket frame for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Server-sent events

Defines the server-sent events concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Server-sent events pattern, Real-Time & Streaming server-sent events, Server-sent events implementation
AI prompt: Implement production-ready Server-sent events for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

EventSource

Defines the eventSource concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: EventSource pattern, Real-Time & Streaming eventsource, EventSource implementation
AI prompt: Implement production-ready EventSource for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Long polling

Defines the long polling concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Long polling pattern, Real-Time & Streaming long polling, Long polling implementation
AI prompt: Implement production-ready Long polling for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Short polling

Defines the short polling concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Short polling pattern, Real-Time & Streaming short polling, Short polling implementation
AI prompt: Implement production-ready Short polling for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

HTTP streaming

Defines the hTTP streaming concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: HTTP streaming pattern, Real-Time & Streaming http streaming, HTTP streaming implementation
AI prompt: Implement production-ready HTTP streaming for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Chunked response

Defines the chunked response concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Chunked response pattern, Real-Time & Streaming chunked response, Chunked response implementation
AI prompt: Implement production-ready Chunked response for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Bidirectional stream

Defines the bidirectional stream concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Bidirectional stream pattern, Real-Time & Streaming bidirectional stream, Bidirectional stream implementation
AI prompt: Implement production-ready Bidirectional stream for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Unidirectional stream

Defines the unidirectional stream concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Unidirectional stream pattern, Real-Time & Streaming unidirectional stream, Unidirectional stream implementation
AI prompt: Implement production-ready Unidirectional stream for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Streaming RPC

Defines the streaming RPC concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Streaming RPC pattern, Real-Time & Streaming streaming rpc, Streaming RPC implementation
AI prompt: Implement production-ready Streaming RPC for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

WebRTC data channel

Defines the webRTC data channel concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: WebRTC data channel pattern, Real-Time & Streaming webrtc data channel, WebRTC data channel implementation
AI prompt: Implement production-ready WebRTC data channel for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Streaming behavior

Stream producer

Defines the stream producer concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream producer pattern, Real-Time & Streaming stream producer, Stream producer implementation
AI prompt: Implement production-ready Stream producer for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream consumer

Defines the stream consumer concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream consumer pattern, Real-Time & Streaming stream consumer, Stream consumer implementation
AI prompt: Implement production-ready Stream consumer for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream partition

Defines the stream partition concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream partition pattern, Real-Time & Streaming stream partition, Stream partition implementation
AI prompt: Implement production-ready Stream partition for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream offset

Defines the stream offset concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream offset pattern, Real-Time & Streaming stream offset, Stream offset implementation
AI prompt: Implement production-ready Stream offset for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Consumer cursor

Defines the consumer cursor concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Consumer cursor pattern, Real-Time & Streaming consumer cursor, Consumer cursor implementation
AI prompt: Implement production-ready Consumer cursor for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Replayable stream

Defines the replayable stream concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Replayable stream pattern, Real-Time & Streaming replayable stream, Replayable stream implementation
AI prompt: Implement production-ready Replayable stream for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Hot stream

Defines the hot stream concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Hot stream pattern, Real-Time & Streaming hot stream, Hot stream implementation
AI prompt: Implement production-ready Hot stream for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Cold stream

Defines the cold stream concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Cold stream pattern, Real-Time & Streaming cold stream, Cold stream implementation
AI prompt: Implement production-ready Cold stream for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Backpressure

Defines the backpressure concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Backpressure pattern, Real-Time & Streaming backpressure, Backpressure implementation
AI prompt: Implement production-ready Backpressure for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Flow control

Defines the flow control concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Flow control pattern, Real-Time & Streaming flow control, Flow control implementation
AI prompt: Implement production-ready Flow control for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Buffering

Defines the buffering concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Buffering pattern, Real-Time & Streaming buffering, Buffering implementation
AI prompt: Implement production-ready Buffering for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Batching

Defines the batching concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Batching pattern, Real-Time & Streaming batching, Batching implementation
AI prompt: Implement production-ready Batching for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Windowing

Defines the windowing concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Windowing pattern, Real-Time & Streaming windowing, Windowing implementation
AI prompt: Implement production-ready Windowing for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Watermark

Defines the watermark concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Watermark pattern, Real-Time & Streaming watermark, Watermark implementation
AI prompt: Implement production-ready Watermark for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Late event

Defines the late event concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Late event pattern, Real-Time & Streaming late event, Late event implementation
AI prompt: Implement production-ready Late event for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Out-of-order event

Defines the out-of-order event concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Out-of-order event pattern, Real-Time & Streaming out-of-order event, Out-of-order event implementation
AI prompt: Implement production-ready Out-of-order event for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream join

Defines the stream join concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream join pattern, Real-Time & Streaming stream join, Stream join implementation
AI prompt: Implement production-ready Stream join for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream aggregation

Defines the stream aggregation concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream aggregation pattern, Real-Time & Streaming stream aggregation, Stream aggregation implementation
AI prompt: Implement production-ready Stream aggregation for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream transformation

Defines the stream transformation concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream transformation pattern, Real-Time & Streaming stream transformation, Stream transformation implementation
AI prompt: Implement production-ready Stream transformation for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream fan-out

Defines the stream fan-out concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream fan-out pattern, Real-Time & Streaming stream fan-out, Stream fan-out implementation
AI prompt: Implement production-ready Stream fan-out for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream checkpoint

Defines the stream checkpoint concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream checkpoint pattern, Real-Time & Streaming stream checkpoint, Stream checkpoint implementation
AI prompt: Implement production-ready Stream checkpoint for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Stream recovery

Defines the stream recovery concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Stream recovery pattern, Real-Time & Streaming stream recovery, Stream recovery implementation
AI prompt: Implement production-ready Stream recovery for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Real-time delivery

Channel

Defines the channel concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Channel pattern, Real-Time & Streaming channel, Channel implementation
AI prompt: Implement production-ready Channel for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Room

Defines the room concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Room pattern, Real-Time & Streaming room, Room implementation
AI prompt: Implement production-ready Room for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Presence

Defines the presence concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Presence pattern, Real-Time & Streaming presence, Presence implementation
AI prompt: Implement production-ready Presence for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Presence heartbeat

Defines the presence heartbeat concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Presence heartbeat pattern, Real-Time & Streaming presence heartbeat, Presence heartbeat implementation
AI prompt: Implement production-ready Presence heartbeat for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Typing indicator

Defines the typing indicator concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Typing indicator pattern, Real-Time & Streaming typing indicator, Typing indicator implementation
AI prompt: Implement production-ready Typing indicator for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Live cursor

Defines the live cursor concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Live cursor pattern, Real-Time & Streaming live cursor, Live cursor implementation
AI prompt: Implement production-ready Live cursor for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Broadcast

Defines the broadcast concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Broadcast pattern, Real-Time & Streaming broadcast, Broadcast implementation
AI prompt: Implement production-ready Broadcast for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Targeted push

Defines the targeted push concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Targeted push pattern, Real-Time & Streaming targeted push, Targeted push implementation
AI prompt: Implement production-ready Targeted push for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Connection authentication

Defines the connection authentication concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Connection authentication pattern, Real-Time & Streaming connection authentication, Connection authentication implementation
AI prompt: Implement production-ready Connection authentication for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Connection authorization

Defines the connection authorization concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Connection authorization pattern, Real-Time & Streaming connection authorization, Connection authorization implementation
AI prompt: Implement production-ready Connection authorization for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Connection resume

Defines the connection resume concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Connection resume pattern, Real-Time & Streaming connection resume, Connection resume implementation
AI prompt: Implement production-ready Connection resume for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Reconnect strategy

Defines the reconnect strategy concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Reconnect strategy pattern, Real-Time & Streaming reconnect strategy, Reconnect strategy implementation
AI prompt: Implement production-ready Reconnect strategy for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Keepalive

Defines the keepalive concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Keepalive pattern, Real-Time & Streaming keepalive, Keepalive implementation
AI prompt: Implement production-ready Keepalive for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Ping-pong

Defines the ping-pong concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Ping-pong pattern, Real-Time & Streaming ping-pong, Ping-pong implementation
AI prompt: Implement production-ready Ping-pong for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Idle timeout

Defines the idle timeout concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Idle timeout pattern, Real-Time & Streaming idle timeout, Idle timeout implementation
AI prompt: Implement production-ready Idle timeout for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Slow-consumer handling

Defines the slow-consumer handling concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Slow-consumer handling pattern, Real-Time & Streaming slow-consumer handling, Slow-consumer handling implementation
AI prompt: Implement production-ready Slow-consumer handling for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Message ordering

Defines the message ordering concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Message ordering pattern, Real-Time & Streaming message ordering, Message ordering implementation
AI prompt: Implement production-ready Message ordering for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Delivery acknowledgement

Defines the delivery acknowledgement concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Delivery acknowledgement pattern, Real-Time & Streaming delivery acknowledgement, Delivery acknowledgement implementation
AI prompt: Implement production-ready Delivery acknowledgement for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Connection draining

Defines the connection draining concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Connection draining pattern, Real-Time & Streaming connection draining, Connection draining implementation
AI prompt: Implement production-ready Connection draining for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Real-time gateway

Defines the real-time gateway concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Real-time gateway pattern, Real-Time & Streaming real-time gateway, Real-time gateway implementation
AI prompt: Implement production-ready Real-time gateway for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.

Edge fan-out

Defines the edge fan-out concept used in real-time & streaming systems, with its contract, lifecycle, failure behavior, and operational boundaries.

Also known as: Edge fan-out pattern, Real-Time & Streaming edge fan-out, Edge fan-out implementation
AI prompt: Implement production-ready Edge fan-out for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.