Tag: real-time
Browse 9 practical software engineering resources tagged with "real-time". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving real-time.
Implement Server-Sent Events in Go for Real-Time Updates
How to build a production-ready Server-Sent Events endpoint in Go with connection management, heartbeat pings, and graceful client disconnect handling
Server-Sent Events with Node.js and Express
Implement real-time server-to-client push using Server-Sent Events in Node.js with Express, covering connection management, event types, reconnection logic, and backpressure handling
WebSocket Authentication and Security Patterns
How to authenticate WebSocket connections, implement token validation, and handle authorization for real-time messaging in production
Build a Bidirectional Chat with WebSocket and Node.js
How to build a real-time bidirectional chat application using WebSocket with room-based messaging, presence tracking, and message persistence
Build a Real-Time Leaderboard with Redis Sorted Sets
Use Redis sorted sets to implement real-time leaderboards with rank tracking, score updates, and top-N queries in O(log N) time
WebSockets for Real-Time Communication
Build bidirectional real-time communication with WebSockets, handling connection management, reconnection, and fallbacks.
Implement Redis Pub/Sub Messaging in Python
Build real-time pub/sub messaging with Redis and Python including pattern subscriptions, message serialization, connection pooling, and broadcast patterns for microservices.
Build Real-Time APIs with WebSockets on Serverless
How to implement bidirectional real-time communication using WebSockets with AWS API Gateway, Lambda, DynamoDB, and what works in connection management.
Stream Processing: Event-Driven Data Pipelines with
A practical guide to stream processing: choosing between Kafka Streams, Flink, and Spark Streaming, designing event schemas, handling stateful operations, and building exactly-once processing pipelines for real-time data.