How OpsZilla Achieved Zero-Downtime MySQL Migration with Scalable Data Engineering Practices

Running a growing e-commerce platform like Opszilla is thrilling. You’re processing thousands of orders daily across the US and Canada, scaling infrastructure, and expanding into new markets. But amidst all that momentum, something  starts to break: your data infrastructure and database performance.

At first, it’s subtle—slower queries, lagging reports, a few scaling hiccups. Then the real issue surfaces: you’re still running on MySQL 5.7, a version nearing its end-of-life in October 2023.

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The $23 Million DNS Disaster: Why CoreDNS is the Internet’s New Superhero

The DNS Revolution That’s Changing Everything

Last December, a single DNS misconfiguration at a major streaming platform caused a global outage that cost $23 million in lost revenue and affected 180 million users during the World Cup final. The root cause? Their legacy DNS server couldn’t handle the traffic spike, taking 47 minutes to resolve the issue.

Meanwhile, their competitor running CoreDNS experienced the same traffic surge but stayed online, gaining 2.3 million new subscribers that day.

This isn’t just another “infrastructure matters” story. This is about the invisible foundation of the internet that separates digital empires from digital disasters.

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The Software Environment Types: Death by a Thousand Deployments


“Your code doesn’t just ship — it survives a gauntlet of digital Darwinism where only the fittest features reach users.”


How One PostgreSQL Version Mismatch Cost a Fortune 500 Company $4.7 Million
TL; DR — When Simple Becomes Catastrophic

Last month, two digits in a database version number brought at a Fortune 500 company a production outage that cost $4.7 million in lost revenue. The root cause? Their staging environment was running on PostgreSQL 13 while production was on PostgreSQL 15. A simple version mismatch became a career-ending incident.
This isn’t just another “environments matter” story. This is about the invisible architecture of trust that separates unicorn startups from digital graveyards.

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Implementing Supervisor Process Monitoring with Open Telemetry

In this blog, I’ll Walk you through how I set up a custom monitoring system for Supervisor-managed processes like Nginx and Apache2, this setup will allow you to track the health and performance of processes running under Supervisor in real time.  Continue reading “Implementing Supervisor Process Monitoring with Open Telemetry”

Edge AI: Running TensorFlow Models on IoT Devices

Your smart thermostat senses a temperature drop before you notice. Your camera recognizes a familiar face the second it appears. And none of it goes through the cloud. That’s the power of Edge AI with TensorFlow, where machine learning runs locally on IoT devices, making them faster, more private, and incredibly efficient. 

In this blog, we’ll explore how TensorFlow Lite models are optimized for edge hardware, the challenges of deploying lightweight AI models on embedded systems, and the benefits of real-time AI inference at the edge for smart devices. 

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