Proud to Be a Small Part of Something That Touches Many..

I landed in Delhi few weeks back, running on minimal sleep. But the moment I stepped into the venue for Confluent Data Streaming World Tour, the fatigue vanished. The room was already packed—customers, partners, familiar faces, and new ones. It had that distinct buzz you only get when people genuinely want to be there, not just collect a badge.

Rubal Sahni, our VP of Sales for India & GCC, opened the session with a line that has stayed with me since:

“If you’re using a mobile phone, you’re actually touching our technology a few times a day.”

He paused, letting the silence do the work, then walked through the everyday rhythm of life. Watching the IPL. The Football World Cup. Booking a train ticket. Ordering dinner. Sending a quick UPI payment to a neighbourhood shop.

Around the hall, people started doing the quiet math in their heads—realizing just how many times their morning had quietly passed through our pipes before they even finished breakfast.

Sitting there, I caught myself doing the exact same math. And it took me back.

An urban landscape at night featuring a busy street, a cricket stadium illuminated by floodlights, and people moving towards a departure board. A person holds a smartphone displaying a QR code, while a motorcyclist navigates through the city.
Continue reading “Proud to Be a Small Part of Something That Touches Many..”

Data-Driven Decisions: Explained Over a Drink

A few weeks back, over drinks with friends in Sydney, I was sitting back, holding a cold beer in my hand.

Ravan leaned over, grabbed another chilled bottle from the bucket, and offered it across the table. “Shivam, Have a beer with us.”

Shivam waved his hand dismissively, swirling the ice in his glass. “No way, yaar. Why would I switch to a light beer when I’m already drinking whiskey? Whiskey, vodka, brandy—that’s the real stuff. Beer won’t even hit the spot.”

Everyone around the table nodded in agreement. And on paper, they weren’t wrong. Beer typically sits around 4% to 5% alcohol, while whiskey sits way up at 40% to 42.8%.

Case closed, right?

I looked down at the bottle in my hand, turned to Shivam, and said, “Wait a minute. Let’s not close the case yet.”

The Question Nobody Was Asking

Everyone was comparing the percentage. Nobody was comparing the quantity.

Think about it. When you drink whiskey, how much do you actually pour? A peg is usually 30ml, sometimes 60ml if you’re generous. But when you drink beer, you are not sipping 30ml from a shot glass. You are opening a full bottle — 330ml, 500ml, sometimes 650ml.

So the real question is not “which drink has more alcohol in it.” The real question is “which drink puts more alcohol in you.”

And that, my friends, is where the data tells a completely different story.

Continue reading “Data-Driven Decisions: Explained Over a Drink”

PackLogic – Why I like Wolves

Did you know that a tiger—one of the most powerful predators on earth—only succeeds in about 10% of its hunts? That means for every ten times it tries to eat, it fails eight or nine times.

Now, look at wolves. Their hunting success rate is around 25%. But if you look at the African Wild Dog, their success rate skyrockets to an average of 80% (ranging from 60% to 90%).

Why is the difference so massive? It’s simple: The Pack.

Continue reading “PackLogic – Why I like Wolves”