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Large Language ModelsAmazon AI BlogPublished: Aug 27, 2026, 04:00 JST2 min read

GoDaddy cuts dashboard load time to under 5 seconds with AWS Quick

GoDaddy cuts dashboard load time to under 5 seconds with AWS Quick

Key takeaway

  • GoDaddy migrated its analytics to Amazon Quick, cutting report load times from 15 minutes to under 5 seconds. Dashboard count fell from over 5,000 to fewer than 2,500.

  • The company saved over 15,000 hours annually.

  • AI self-service analytics are now available to all employees.

3 Key Points

  1. What happened

    GoDaddy migrated from its legacy BI tool to Amazon Quick (formerly Quick Sight) over two years, cutting dashboard rendering from over 15 minutes to under 5 seconds. The company retired its old tool by December 2025.

  2. Why it matters

    The migration cut dashboard count from over 5,000 to fewer than 2,500, saved over 15,000 hours annually, and enabled AI-powered self-service analytics for all employees. This marks a cultural shift from a centralized BI team to widespread data-driven decision-making.

  3. What to watch

    GoDaddy now uses Quick's AI features, including seven custom chat agents and Quick Flows. By April 2026, agents logged 1,999 queries, and automation saves an estimated 7,900+ hours annually.

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Context & Analysis

GoDaddy's move to Amazon Quick was more than a tech upgrade; it was a strategic overhaul of how the company handles data. Faced with slow dashboards and rising costs, the team chose to rationalize its portfolio by retiring redundant dashboards, ending with a leaner set that delivered more value. The use case of the 'Cash Dash' shows how performance gains plus automated anomaly detection can turn a reporting tool into a proactive business monitor.

The adoption of AI features like chat agents and Quick Flows has pushed analytics beyond traditional BI users. With agents handling thousands of queries and flows automating weekly reviews, GoDaddy is shifting from a dashboard-centric model to one focused on accessible insights. This reflects a broader trend toward embedded AI, though the full impact on decision-making speed and quality will likely unfold over time.

FAQ

How long did the migration take and when was it completed?
The migration took roughly two years, starting in mid-2023, with a soft launch in Q3 2023, and the legacy tool was fully shut down by December 2025.
What is the '1/10/60' model mentioned in the article?
It's an incident response framework where anomalies are detected within one minute, investigated within ten minutes, and resolved within sixty minutes, used by GoDaddy's finance team.
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