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AI Engineering
AI Engineering
Apr 13, 2026 · Artificial Intelligence

Why Your Tokens Burn Money Fast and How a Four‑Tier Model Stack Can Cut Costs

The article examines the rapid token consumption problem caused by popular LLM agents, proposes a four‑tier model hierarchy and concrete routing rules, and offers short‑term, long‑term, and budget‑friendly deployment recommendations to reduce expenses while maintaining performance.

LLMMulti‑model deploymentToken Cost
0 likes · 7 min read
Why Your Tokens Burn Money Fast and How a Four‑Tier Model Stack Can Cut Costs
Lobster Programming
Lobster Programming
Jul 7, 2025 · Backend Development

Boost Order Processing Speed with Segmented Locks and Redis

This article explains how to use segmented (sharded) locks and Redis‑based routing strategies to parallelize inventory deduction and order creation, dramatically increasing orders processed per second while maintaining atomicity and fault tolerance.

concurrencydistributed-lockorder processing
0 likes · 7 min read
Boost Order Processing Speed with Segmented Locks and Redis
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Aug 19, 2021 · Backend Development

Ensuring Ordered Message Processing in RocketMQ: Partitioning, Routing, and Consumer Coordination

This article explains how to achieve high‑throughput, high‑availability ordered messaging in RocketMQ by using multi‑partition designs, routing strategies, and consumer locking mechanisms to guarantee local order while handling scaling, failures, and consumer concurrency.

Consumer CoordinationMessage QueuePartitioning
0 likes · 7 min read
Ensuring Ordered Message Processing in RocketMQ: Partitioning, Routing, and Consumer Coordination
Java Interview Crash Guide
Java Interview Crash Guide
Dec 24, 2020 · Backend Development

Ensuring Reliable RabbitMQ Messaging: Persistence, Confirmations, and DLX Strategies

This article explains how to guarantee message durability, delivery confirmation, manual acknowledgments, TTL, queue length limits, dead‑letter handling, prefetch settings, and routing strategies in RabbitMQ, providing practical code examples and best‑practice recommendations for robust backend systems.

Confirm ListenerRabbitMQdead-letter-exchange
0 likes · 24 min read
Ensuring Reliable RabbitMQ Messaging: Persistence, Confirmations, and DLX Strategies
dbaplus Community
dbaplus Community
Jul 17, 2016 · Databases

How JD Scaled Its One‑Yuan Grab Treasure System with Database Sharding and ES Aggregation

This article details JD's One‑Yuan Grab Treasure platform redesign, covering business growth drivers, database sharding estimation, hash‑plus‑range routing implementation, Elasticsearch aggregation, Canal‑based sync, historical data migration, and downgrade mechanisms to ensure high‑throughput, reliable order processing during massive sales events.

Backend ArchitectureData MigrationPerformance Scaling
0 likes · 11 min read
How JD Scaled Its One‑Yuan Grab Treasure System with Database Sharding and ES Aggregation