Case Study: Inland Revenue Authority of Singapore achieves greater flexibility, stability and SLA compliance with Automic Dollar Universe

Inland Revenue Authority of Singapore Migrates to Automic Dollar Universe

The Inland Revenue Authority of Singapore (IRAS), the statutory board responsible for national tax collection, needed a more flexible, visible and reliable job-scheduling platform to manage a complex cross‑platform IT environment with more than 10,000 automated jobs supporting mission‑critical tax processes. Their legacy master/agent scheduler required heavy manual controls, lacked flexible sequencing and visibility, and posed single‑point‑of‑failure risks that threatened service levels.

IRAS migrated to Automic Dollar Universe using a two‑phase conversion led by Automic and its data‑center partner; the solution delivers cross‑platform coverage, an intuitive UI, real‑time monitoring, automated migration tools and a distributed peer‑to‑peer architecture. The result was faster problem resolution, improved stability and security, customizable forecasts and reports, and consistent SLA fulfillment — significantly increasing operational performance and reliability.

Inland Revenue Authority of Singapore

Deva Nallaperumal

Infocomm Infrastructure & Operations Manager