4d ago · 4 min read · Whenever you build a distributed microservices architecture, you inevitably hit the "Queueing Crossroads." For my recent project—Aerial Vision—I reached this exact point. I had a decoupled architectur
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Apr 23 · 8 min read · Here's what that workflow looked like: Edit XML in a text editor Open a terminal Run a Docker build that takes 15–20 minutes Open a browser and manually navigate to the right chapter Realize one
Join discussionApr 6 · 7 min read · Modern applications need to handle massive traffic, scale efficiently, and remain reliable under load. One of the most powerful tools used to achieve this is a queue. In this blog, we’ll break down qu
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Apr 3 · 7 min read · When I started optimizing backend code, one of the first things I noticed was that our APIs were slow. Not broken — just slow. Averaging 1.2 seconds per request across 15+ endpoints. For a messaging p
Join discussionMar 30 · 4 min read · When building backend systems, especially SaaS applications, handling background jobs correctly is critical. Whether it's sending emails, processing payments, or scheduling reminders, choosing the rig
Join discussionMar 3 · 11 min read · Background Job and Workflow Tools: BullMQ, Temporal, and Celery Every non-trivial application eventually needs to do work outside the request-response cycle. Send an email after signup. Generate a PDF invoice. Process a video upload. Sync data with a...
Join discussionFeb 12 · 3 min read · BullMQ Job Queue Patterns: Redis Task Processing at Scale The Challenge I Faced Three months ago, I was debugging the same issue over and over. Then I discovered this solution. Table of Contents Why This Matters Core Concepts Explained 5 Essential P...
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