How do you manage cloud costs for an app where a 50ms delay can impact a user's trade? In this episode, Dhruv Pathak (Co-founder & CTO of INDmoney) explains the transition from travel tech to fintech and why the future of cloud management requires autonomous action.

Key Highlights:

• The Latency Equation: Why travel users accept a 1-second delay for a better price, but trading users require sub-millisecond accuracy.
• The Bloat Myth: Dhruv explains why security isn't the primary cost driver; instead, it’s the ease of spawning unutilized infrastructure through human inefficiency.
• Agentic Scaling: Discover how AI agents allow lean teams to replicate FinOps optimizations across dozens of accounts simultaneously with 1/10th the effort.
• The Human Guardrail: Why high-stakes fintech environments still require a "Human in the Loop" for sensitive production changes and compliance.
• Forecasting with AI: How using AI tools helps CTOs better predict hiring needs and build leaner, more efficient teams.

Chapter Markers:

00:00 – Intro: From Goibibo to the INDmoney SuperApp

01:10 – Handling 40% traffic spikes during market opens

03:15 – Travel vs. Fintech: Accuracy and the 20ms threshold

07:30 – Compliance as a prerequisite for "peaceful sleep"

11:00 – Identifying "Human-Induced Inefficiency" in the cloud

13:40 – Moving from manual scripts to Agentic AI scalability

16:50 – Self-healing infra: Sandbox vs. Production reality

19:35 – Advice for CTOs: Starting the FinOps journey

24:50 – What’s next for Dhruv Pathak?

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