#message-queue

TITech Insights Hubtopperblog.hashnode.dev

Message Queue: Async Processing Patterns

Why Traditional Message Queue Approaches Fail at Scale Legacy message queue implementations built around simple producer-consumer patterns break down under modern operational demands. The traditional approach of spinning up a single consumer group wi...

Feb 1211 min read

TITech Insights Hubtopperblog.hashnode.dev

RabbitMQ Exchange Types: Topic Fanout Direct

Why Traditional Message Routing Approaches Fail at Scale Teams often start with simple point-to-point messaging or basic pub-sub patterns, then hit walls when requirements evolve. A direct exchange works perfectly when you have five microservices wit...

Feb 1210 min read

TITech Insights Hubtopperblog.hashnode.dev

Dead Letter Queue: Message Broker Retry

Why Simple Retry Logic Fails at Scale The fundamental problem with basic retry mechanisms is their inability to distinguish between transient and permanent failures. When a downstream API returns a 503 Service Unavailable error, immediate retry makes...

Feb 128 min read

TITech Insights Hubtopperblog.hashnode.dev

Message Queue Prefetch: Buffer Configuration

Why Default Prefetch Settings Fail in Modern Architectures Most message queue systems ship with default prefetch values optimized for generic use cases that rarely match production requirements. RabbitMQ defaults to unlimited prefetch, allowing consu...

Feb 1210 min read

TITech Insights Hubtopperblog.hashnode.dev

Message Queue Dead Letter Queues Handling

Message Queue Dead Letter Queues: Handling Failures Gracefully When a message fails to process in your distributed system, where does it go? If your answer is "nowhere" or "I'm not sure," you're sitting on a ticking time bomb. Dead Letter Queues (DLQ...

Feb 128 min read

TITech Insights Hubtopperblog.hashnode.dev

Message Queue Reliability: At-Least-Once Delivery

Message Queue Reliability: At-Least-Once vs Exactly-Once Delivery Semantics The Duplicate Message Problem in Modern Distributed Systems In 2026, distributed systems power everything from real-time payment processing to AI model training pipelines. Ye...

Feb 128 min read

NVNguyễn Việt Tùngdevpath-traveler.nguyenviettung.id.vn

Cron at Scale: Patterns and Anti-Patterns

Cron behaves very politely in small systems. One server, a handful of jobs, light workloads. You add a few entries to a crontab, things run on time, and life is good. In that world, cron feels self-sufficient. It schedules, it runs, it finishes. Then...

Jan 187 min read

AGAtharva Gbackground-job-queue-with-bullmq-and-redis.hashnode.dev

Implementing a Background Job Queue with BullMQ & Redis

Why I Needed a Message Queue In my project, I had a Quotation feature where: Sales users submit quotation data A DOCX template is filled dynamically The DOCX is converted to PDF using LibreOffice The PDF is uploaded to cloud storage The PDF is e...

Jan 123 min read

ALAlvin Leealvinslee.hashnode.dev

The Messaging Challenges No One Talks About in Regulated, Air-Gapped, and Hybrid Environments

The modern platform engineering mandate is clear: adopt Kubernetes, embrace microservices, and accelerate velocity. In theory, this leads to efficiency; in practice, if you operate within highly regulated sectors — Finance, Utilities, Defense, Health...

Jan 86 min read

PSPavittar Singhblog.pavittarx.com

Don’t Block, Just Queue: The Art of Asynchronous Traffic Control.

Modern systems handle traffic at a staggering scale. Google processes approximately ~190k searches per second, based on an estimated 16.4 billion searches per day. IoT devices generate data ranging from a few kilobytes to 1GB per second. A single Boe...

Dec 30, 20256 min read

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#message-queue

Message Queue: Async Processing Patterns

RabbitMQ Exchange Types: Topic Fanout Direct

Dead Letter Queue: Message Broker Retry

Message Queue Prefetch: Buffer Configuration

Message Queue Dead Letter Queues Handling

Message Queue Reliability: At-Least-Once Delivery

Cron at Scale: Patterns and Anti-Patterns

Implementing a Background Job Queue with BullMQ & Redis

The Messaging Challenges No One Talks About in Regulated, Air-Gapped, and Hybrid Environments

Don’t Block, Just Queue: The Art of Asynchronous Traffic Control.

#message-queue

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#message-queue

Message Queue: Async Processing Patterns

RabbitMQ Exchange Types: Topic Fanout Direct

Dead Letter Queue: Message Broker Retry

Message Queue Prefetch: Buffer Configuration

Message Queue Dead Letter Queues Handling

Message Queue Reliability: At-Least-Once Delivery

Cron at Scale: Patterns and Anti-Patterns

Implementing a Background Job Queue with BullMQ & Redis

The Messaging Challenges No One Talks About in Regulated, Air-Gapped, and Hybrid Environments

Don’t Block, Just Queue: The Art of Asynchronous Traffic Control.