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Case Study

Hub88 uncovered $470K in cloud waste — with $400K more in projected savings

How a fast-growing iGaming platform uncovered $470K in cloud waste across a $1.9M monthly AWS bill — with $400K more in projected savings.

Hub88

$470K

savings discovered in initial assessment

The Challenge

Hub88 is a fast-growing iGaming platform provider operating at significant scale on AWS. With a monthly cloud bill of $1.9M, even small percentages of waste translate to hundreds of thousands of dollars annually. Like many high-growth companies, Hub88's infrastructure had evolved rapidly to meet demand — and cost optimization hadn't kept pace with that growth.

The engineering team knew there were savings to be found, but lacked the specialized tooling and dedicated time to systematically identify, prioritize, and execute optimizations across their complex AWS environment.

The Approach

Glassity connected to Hub88's AWS environment through a read-only, agentless IAM integration — live in hours with zero infrastructure changes. The platform's discovery engine scanned across all AWS services, mapping resources to business services and identifying optimization opportunities that billing data alone would miss.

Unlike traditional tools that produce hundreds of low-value alerts, Glassity's service-level discovery grouped findings into actionable items with clear ownership, priority, and remediation plans.

The Results

$470K

savings found in initial discovery

$400K

additional projected savings

$1.9M

monthly AWS spend analyzed

In the initial discovery phase alone, Glassity surfaced $470K in concrete savings opportunities — a mix of workload optimizations (rightsizing, idle resource cleanup, architecture improvements) and rate optimization opportunities.

Beyond the immediate findings, the platform identified an additional $400K in projected savings through ongoing optimization — opportunities that would materialize as the team executed recommendations and the continuous discovery cycle surfaced new efficiencies.

Why It Worked

  • Zero-friction onboarding — Read-only IAM integration, no infrastructure changes, live in hours
  • Service-level discovery — Findings mapped to business services, not individual resources
  • Actionable output — Every opportunity came with priority, ownership, and a remediation plan
  • Success-fee model — Hub88 only pays 10% of actual savings delivered

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