Case Study: ROLLER achieves 100% SLA compliance, 99% faster incident resolution and 60% EC2 cost reduction with Datadog

A Datadog Case Study

Preview of the ROLLER Case Study

ROLLER scales global attractions platform by monitoring and securing AWS with Datadog

ROLLER provides a cloud platform for attractions and leisure businesses—supporting over 2,200 operators across 35+ countries and processing more than $100M annually. As the company grew, multiple monitoring tools left its SRE, operations, and security teams without unified visibility into AWS regions, accounts, and subsystems, slowing log aggregation, troubleshooting, and infrastructure modernization while putting SLAs and availability at risk.

ROLLER implemented Datadog to consolidate observability and security across its AWS environment, using prebuilt dashboards, log correlation, database monitoring, and application/API protection to give teams a single source of truth. The results: 100% SLA compliance, mean time to resolution cut from three days to 15 minutes, a 60% reduction in EC2 costs after moving to ECS/Fargate and Spot instances (and 77% faster compute spin-up), and a fourfold increase in scale with the same small SRE team.


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ROLLER

Sean Fernandez

Chief Information Officer


Datadog

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