Lobster Programming
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Lobster Programming

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Lobster Programming
Lobster Programming
May 11, 2026 · Backend Development

Designing Effective Ad Mixing in Short‑Video Feed Streams

The article examines common pitfalls of naïve ad insertion in short‑video feeds, explains how cursor‑based pagination prevents duplicate ads, and outlines a client‑side mixing architecture that isolates services, meets strict latency requirements, and ensures accurate ad billing.

ad mixingbackend designclient-side rendering
0 likes · 4 min read
Designing Effective Ad Mixing in Short‑Video Feed Streams
Lobster Programming
Lobster Programming
May 6, 2026 · Backend Development

How to Choose the Right MQ: RabbitMQ vs RocketMQ vs Kafka

This article compares RabbitMQ, RocketMQ, and Kafka on throughput, latency, scalability, and reliability, outlining each system's core features and recommending suitable scenarios such as reliable messaging, high‑performance streaming, and large‑scale real‑time data processing.

KafkaLatencyMessage Queue
0 likes · 6 min read
How to Choose the Right MQ: RabbitMQ vs RocketMQ vs Kafka
Lobster Programming
Lobster Programming
Apr 15, 2026 · Databases

Choosing the Right Redis Architecture: From Single Node to Cluster

This article reviews the main Redis deployment options—including single‑node, master‑slave with Sentinel, sharding via consistent hashing, and Redis Cluster—explaining their advantages, high‑availability mechanisms, scalability limits, and recommending suitable scenarios for each architecture.

ClusterDeploymentRedis
0 likes · 7 min read
Choosing the Right Redis Architecture: From Single Node to Cluster
Lobster Programming
Lobster Programming
Apr 8, 2026 · Big Data

How to Implement Real‑Time API Traffic Counting at Scale

This article compares three practical approaches—direct database storage, a Flink‑Kafka‑Redis‑Grafana pipeline, and an ELK stack—to achieve real‑time API request counting for high‑concurrency scenarios, outlining their architectures, advantages, and trade‑offs.

API analyticsELKFlink
0 likes · 6 min read
How to Implement Real‑Time API Traffic Counting at Scale