Jun 10 · 10 min read · In this post, I’ll share how we transformed our Predictive Analytics Platform from an on-premises relational data infrastructure to a cloud-native NoSQL architecture, enabling us to process significan
Join discussionMay 20 · 13 min read · What are We Gonna Study? First of all, if you are expecting code in this blog, then you might be wrong, because it is more of a discussion oriented blog, rather than coding itself. So, hey there folks
Join discussionMay 4 · 4 min read · What you'll learn: How to design a monitoring architecture that grows with your AI agents, not against them Why traditional application monitoring falls short for AI systems and what to do instead A practical framework for implementing progressive m...
Join discussionMay 2 · 8 min read · THE DROP The biggest lie about ai workflows is that YC startups glue everything together with Zapier. They don’t. Believing that myth quietly puts you on the wrong side of scale before you even notice. THE PROOF Here’s the uncomfortable insight most...
Join discussionApr 18 · 8 min read · I worked with a team that rewrote a critical service from Go to Rust because "performance." Six months later, the service was 30% faster, the team was miserable, and feature velocity had dropped to a crawl. Meanwhile the competitor team, still on Go,...
Join discussionJan 9 · 5 min read · Introduction The healthcare sector is undergoing a transformative shift driven by cloud computing and artificial intelligence (AI). Cloud-based healthcare systems promise scalable infrastructure, reduced costs, cross-institutional data sharing, and e...
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Dec 30, 2025 · 6 min read · 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...
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Dec 23, 2025 · 6 min read · Queues offload slow, noncritical work into background processes, so your API can respond quickly while heavy tasks run asynchronously. This is useful when endpoints remain slow or fragile even after typical optimizations like indexing, caching, and c...
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