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Domain: www.cloudamqp.com Added: 2026-02-03 Status: βœ“ Success
www.cloudamqp.com
I find stories and analogies very fascinating and β€” to explain message queues in a super approachable way, we will use some analogies: databases, warehouses and post offices. Stay with me … Databases ...
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What, why, when to use Apache Kafka, with an example
https://www.startdataengineering.com/post/what-why-and-how-apache-kafka/
What, why, when to use Apache Kafka, with an example I have seen, heard and been asked questions and comments like What is Kafka and When should I use...
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Write Your Own Task Queue
https://danpalmer.me/2022-09-10-write-your-own-task-queue/
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Error extracting title
https://spin.atomicobject.com/redis-postgresql/
There’s a tried-and-true architecture that I’ve seen many times for supporting your web services and applications: - PostgreSQL for data storage - Red...
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Using PostgreSQL as a Dead Letter Queue for Event-Driven Systems
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While I was working on a project with Wayfair, I got the opportunity to work on a system that generated daily business reports aggregated from multipl...
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https://wolfoliver.medium.com/the-purposes-of-microservices-4e5f373f4ea3
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Replacing cron jobs with a centralized task scheduler
https://news.ycombinator.com/item?id=44713716
I find the best comments here to be ones where people use their knowledge and experience to discuss the relative strengths and weaknesses of the techn...
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Error extracting title
https://leontrolski.github.io/postgres-as-queue.html
2024-02-09 The team I've been working in for the last year or so have had great success using Postgres-as-queue. We've managed to avoid the following:...
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The Log: What every software engineer should know about real-time data's unifying abstraction
https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
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Why use Apache Airflow (or any orchestrator)?
https://www.startdataengineering.com/post/why-to-use-orchestrators/
Why use Apache Airflow (or any orchestrator)? - 1. Introduction - 2. Features crucial to building and maintaining data pipelines - 3. Conclusion - 4. ...
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