Hannah Lindqvist

Hannah was a senior FinOps analyst at Spotify for four years, where she sat between the platform engineering org and the CFO's office, owning the showback model for 600+ engineering teams. She built the internal tool that broke down per-squad spend by Kafka topic, which the company still uses. Before Spotify she worked at Klarna on payments infrastructure cost, and started her career as a data engineer at Ericsson. She holds the FinOps Certified Professional credential and AWS Solutions Architect Associate. Her writing leans heavily on the FinOps Foundation framework - inform, optimize, operate - and she has strong opinions about why reserved-instance utilization reports lie to you if you read them naively. Hannah lives in Stockholm, writes mostly about multi-cloud chargeback, anomaly detection on daily spend, and the politics of getting engineers to care about a number that isn't latency. Eleven years total in the industry.

مقالات نوشته Hannah Lindqvist

FinOps عامل‌محور: بهینه‌سازی خودکار هزینه‌های ابری با عامل‌های هوش مصنوعی
استراتژی‌ها و بهترین شیوه‌ها

FinOps عامل‌محور: بهینه‌سازی خودکار هزینه‌های ابری با عامل‌های هوش مصنوعی

چطور عامل‌های هوش مصنوعی هزینه‌های ابری رو خودکار بهینه می‌کنن؟ از معماری چند عامله و کد عملی Python تا ابزارهای پیشرو ۲۰۲۶ و نقشه راه پیاده‌سازی FinOps عامل‌محور.

Hannah Lindqvist 20 دقیقه مطالعه