How GoDaddy transformed its analytics with Amazon Quick

Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.

Originaltext der Quelle (nicht übersetzt) – die deutsche Zusammenfassung findest du im Tab „Kurzfassung".

GoDaddy is one of the world’s largest domain registrar and web hosting companies, serving more than 20 million customers and managing approximately 82 million domain names. At that scale, access to timely business data directly affects how quickly the company can act. When GoDaddy’s analytics infrastructure faced challenges under the weight of thousands of dashboards, mounting infrastructure costs, and performance that left business users waiting upward of 15 minutes for a single report to load, the company knew it was time for a fundamental change. In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results across every dimension of the business: 15,000 hours saved annually, 50% reduction in dashboard count, rendering times cut to under 5 seconds, and AI-powered self-service analytics now accessible to every employee. GoDaddy’s analytics team walks through the journey and shares the architectural decisions, cultural shifts, and automation capabilities that made it possible.

“We migrated to Amazon Quick and cut dashboard rendering from 15 minutes to under 5 seconds. But the bigger win was cultural: with custom agents and automated flows, data-driven decisions became the norm across GoDaddy, not something reserved for analysts. Our teams saved over 15,000 hours annually and shifted to higher-value work.” – Jake Minette (Sr. Manager, Business Analytics), GoDaddy The challenge: When BI infrastructure becomes a bottleneck By the early 2020s, GoDaddy’s BI …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/machine-learning/how-godaddy-transformed-its-analytics-with-amazon-quick/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.