A managed ingestion platform for cloud data at scale

Placeholder for who was stuck and what it cost them. Large customers had to balance inputs across hardware by hand, and problems were slow to find because there was little to observe.

Placeholder paragraph describing the platform in plain words: connectors that pull from customer cloud sources, isolated workers per customer, and a shared control plane that spreads the work and recovers it after failures.

Customer cloud sources → Connectors → Per-customer workers → Analytics platform

• Isolation versus cost. Placeholder for why noisy neighbors and operating cost pulled in opposite directions.
• Balance as it scaled. Placeholder for how work drifted out of balance as capacity scaled up and down.
• Zero data loss. Placeholder for recovering every failure without losing or duplicating data.

• Raised the production bar. Placeholder for treating a rare failure as a systemwide risk, and why.
• Framed a hard tradeoff. Placeholder for helping the leads separate what the customer needed from what was nice to have.
• Ran the hardest customer turnaround. Placeholder for the design partner plan, the beta rounds, and the staged migration.
• Made a deal possible. Placeholder for the costed plan that let a large deal close before the capability existed.

Placeholder paragraph on design partners, beta rounds, and testing at customer scale before any migration.

• 5,500+ customers and more than 125 TB per day.
• Placeholder for the turnaround outcome.
• Placeholder for the deal outcome.
• Five promotions on the team, two to Senior Staff.

Placeholder for one or two honest points about what I'd change if I started again.