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Ashish Jha (now Director of Engineering @ Drata) built AWS Audit Manager - one of AWS's fastest-growing services ever - launching in 15 months with 1,000 customers turning it on in the first 24 hours. On this episode of 1 IDEA, Ashish shares how extreme constraints - 3 months to prove it, 8 months to ship - forced the architectural decisions that made it work at scale. We cover: The $200K/month architecture problem - and the filtering fix that saved it How 50 customer calls killed features the team thought were critical Why GDPR broke audit logs - and the authorization layer that fixed it What happens when 1,000 customers launch in 24 hours vs a planned 3-month ramp What would be AI-first today - and what stays deterministic in compliance CHAPTERS: 00:00 Introduction: The Engineer Behind AWS Audit Manager 00:26 Why AWS Hired One Engineer to Build a Specific Idea 01:36 Building Under Extreme Constraints: 3 Engineers, 4 Months, Prove It or Kill It 02:49 Ruthless Prioritization: Customer Validation Over Feature Lists 04:57 The Scale Shock: Billions of Events Per Region, Not Millions 06:33 Emergency Architecture Pivot: Filtering Before SQS to Control Costs 07:54 Marrying GDPR with Auditability: Layered Architecture for Compliance 09:59 Launch Day: 1,000 Customers and Learning on the Fly 12:20 AWS Engineering Culture: No QA, Engineers Own Everything 13:41 Operational Readiness: The AWS Release Checklist 14:47 How Pricing Drives Architecture: P&L as an Engineering Concern 16:08 80% Stateless: Why Lambda + DynamoDB Became the Core 18:00 Features That Got Cut: Workflow Delegation vs. Evidence Automation 19:16 Rebuilding for AI: From Presentation-Heavy to API-First Architecture 21:48 Where AI Stops: Regulatory Requirements for Human Approval 24:13 AI-Native Advice: Start with Intent, Avoid 100% Accuracy Needs