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Problem Statement Before Change Data Capture (CDC), businesses relied on batch processing and full data replication to synchronizedatabases. These traditional methods required extracting and copying entire datasets at scheduled intervals, whichintroduced several inefficiencies: High Latency: Since batch processing occurred at predefined intervals, real-time updates were impossible,leading to outdated information. Unnecessary…
In the fast-moving world of software delivery, quality is no longer a gate at the end, it’s a mindset woven through every stage of development. With automation and AI taking center stage in Quality Engineering (QE), we’re in the middle of a major shift. But even as we celebrate speed…
With Rails 8 introducing Solid Queue as the default queuing backend for Active Job, this modern background processing system deserves a proper examination. In this post, I'll share what I've learned about this new job solution from Rails team, how it compares to other solutions like Sidekiq, and why…
In the intricate dance of database transactions, ensuring data integrity amidst concurrent operations is paramount. Like two individuals reaching for the same critical file, multiple processes vying for the same database resources can lead to chaos and inconsistencies if not managed carefully. This brings us to the crucial concept of…
Introduction In the world of Ruby on Rails development, keeping your codebase clean and maintainable is crucial. As projects grow, complexity often increases, and without clear separation of concerns, your models and controllers can quickly become cluttered.One effective strategy to simplify Rails code is by using form objects and value…
In recent years, artificial intelligence has transformed the way developers interact with code and automate various tasks. Tools such as GitHub Copilot and Google’s Gemini have made it easier to generate code, debug issues, and even assist with documentation. However, the effectiveness of these tools depends greatly on how well…