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Random Bulletin

17-year internet software developer specializing in AI applications, networking, architecture, and open source. Led the delivery of network services handling hundreds of millions of concurrent devices and tens of millions of QPS, and has three years of experience designing and building an agent platform. Follow to stay updated.

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Latest from Random Bulletin

81 recent articles

Random Bulletin

Jul 3, 2026 · Operations

From Coarse to Fine-Grained: Traffic Shaping Strategies for Million‑QPS Queues

A bulk coupon‑sending job overwhelmed a million‑QPS system, revealing that message queues only buffer but do not shape traffic; the article dissects three failure points, compares leaky‑bucket and token‑bucket rate limiters, evaluates placement on producer, broker or consumer, and progresses from static limits to adaptive shaping with handling of throttled messages.

Message Queueadaptive throttlingleaky bucket

0 likes · 18 min read

From Coarse to Fine-Grained: Traffic Shaping Strategies for Million‑QPS Queues

Random Bulletin

Jul 2, 2026 · Operations

From Zero to Control: Implementing Traffic Shaping for 10 Million QPS Systems

A bulk coupon‑sending job overwhelmed a 10 M‑QPS system, revealing that message queues only buffer traffic; the article walks through why rate‑limiting (leaky vs token bucket) must be added at the producer, broker, or consumer, evolves from static thresholds to adaptive shaping, and discusses how to handle throttled messages.

Message Queueadaptive throttlingleaky bucket

0 likes · 18 min read

From Zero to Control: Implementing Traffic Shaping for 10 Million QPS Systems

Random Bulletin

Jul 1, 2026 · Operations

Evolving Message Expiration for 10 Million QPS: From No TTL to Smart Policies

When a high‑traffic system processes billions of messages per day, stale “zombie” messages can corrupt business state; this article walks through the evolution from never‑expiring queues to uniform TTL, then per‑topic and per‑message TTL, and finally to smart, context‑aware expiration, detailing the engineering trade‑offs, implementation patterns, and operational checklist needed for reliable 10 M‑QPS message pipelines.

Distributed SystemsHigh QPSKafka

0 likes · 19 min read

Evolving Message Expiration for 10 Million QPS: From No TTL to Smart Policies

Random Bulletin

Jun 30, 2026 · Operations

Preventing Message Queue Backlog at Ten‑Million QPS: From Reactive to Proactive

The article explains how a ten‑million‑QPS messaging system can shift from reactive fire‑fighting to proactive backlog prevention by using long‑, mid‑, and short‑term defense layers, capacity planning, predictive scaling, backpressure, and regular chaos engineering to eliminate user‑visible latency.

Capacity PlanningMessage Queuebacklog prevention

0 likes · 19 min read

Preventing Message Queue Backlog at Ten‑Million QPS: From Reactive to Proactive

Random Bulletin

Jun 29, 2026 · Operations

Backlog Digestion at Ten‑Million QPS: From Adding Machines to Intelligent Scheduling

The article dissects how to handle massive message backlog in ten‑million‑QPS systems, explaining why simply adding consumer machines fails, and walks through six evolutionary stages—from manual scaling and auto‑scaling to traffic tiering, consumer‑side optimizations, dynamic strategies, and AI‑driven intelligent scheduling—while highlighting design trade‑offs, pitfalls, and practical tooling.

High QPSMessage Queueauto scaling

0 likes · 22 min read

Backlog Digestion at Ten‑Million QPS: From Adding Machines to Intelligent Scheduling

Random Bulletin

Jun 28, 2026 · Operations

Backlog Monitoring at 10 Million QPS: From Manual Checks to SLO‑Driven Automation

At 10 million QPS, message backlog can silently grow for hours, turning minutes of lag into hundreds of millions of undelivered messages; this article walks through a six‑stage evolution—from manual command‑line checks to SLO‑driven predictive monitoring—detailing metrics, pitfalls, and tool choices for a robust, multi‑dimensional alert system.

High QPSKafkaSLO

0 likes · 21 min read

Backlog Monitoring at 10 Million QPS: From Manual Checks to SLO‑Driven Automation

Random Bulletin

Jun 27, 2026 · Operations

Cross‑Data‑Center Replication at Ten‑Million QPS: From Async to Semi‑Sync and How to Choose

The article examines why cross‑datacenter replication must evolve from simple asynchronous copying to semi‑synchronous and layered strategies at the ten‑million‑QPS scale, detailing latency, RPO, bandwidth costs, failover complexities, and practical selection guidelines for each business tier.

High QPSMessage Queueasynchronous replication

0 likes · 17 min read

Cross‑Data‑Center Replication at Ten‑Million QPS: From Async to Semi‑Sync and How to Choose

Random Bulletin

Jun 26, 2026 · Operations

Message Duplication Is Inevitable: Building a Multi‑Layer Idempotency Middleware for Ten‑Million QPS

Message queues guarantee at‑least‑once delivery, making duplicate messages a normal feature; the article examines a real coupon‑distribution incident, critiques business‑level idempotency approaches, and outlines a layered platform‑wide middleware design—including unique keys, state machines, storage choices, and TTL strategies—to achieve reliable processing at ten‑million QPS scale.

Distributed SystemsHigh QPSMessage Queue

0 likes · 19 min read

Message Duplication Is Inevitable: Building a Multi‑Layer Idempotency Middleware for Ten‑Million QPS

Random Bulletin

Jun 25, 2026 · Operations

Scaling Message Queues to 10M QPS: From Downtime to Seamless Online Expansion

At the 10‑million‑QPS scale, expanding a message‑queue cluster no longer hinges on simply adding brokers; it requires coordinated online upgrades of metadata, data migration with dynamic throttling, cooperative consumer rebalance, shadow‑traffic warm‑up, and rollback snapshots, making the act of adding machines the hardest part.

10M QPSDistributed SystemsMessage Queue

0 likes · 27 min read

Scaling Message Queues to 10M QPS: From Downtime to Seamless Online Expansion

Random Bulletin

Jun 24, 2026 · Operations

Rack Awareness: From Zero to High‑QPS – Boost Availability, Cut Cross‑AZ Traffic

A real‑world rack‑power outage showed that three‑replica Kafka clusters can lose all replicas when brokers share a failure domain, prompting a deep dive into rack awareness—how fault‑domain tags are injected, replica‑placement and leader‑distribution algorithms, consumer‑proximity reads, bandwidth costs, failure scenarios, and the stepwise evolution from hundred‑thousand to ten‑million QPS deployments.

Distributed SystemsFailure DomainHigh QPS

0 likes · 26 min read

Rack Awareness: From Zero to High‑QPS – Boost Availability, Cut Cross‑AZ Traffic