TCG Lifesciences
A leading research-driven life sciences organization supporting pharmaceutical, biotechnology, and healthcare companies through discovery research, development services, and scientific innovation — dependent on secure, scalable, and reliable infrastructure to run critical enterprise applications.
As TCG Lifesciences' AWS footprint grew, the organization needed a structured FinOps approach to improve cloud cost visibility and reduce unnecessary spend — without putting production SAP systems at risk.
Cloud Cost Clarity at Scale
TCG Lifesciences' SAP environment on AWS had grown with conservative infrastructure sizing. Several non-production and support systems were provisioned larger than actual usage required — creating avoidable cloud costs with no clear framework to act safely.
Without utilization data and workload criticality mapping, any optimization attempt was a guessing game — and in pharma, guessing with production systems isn't an option.
TCG Lifesciences needed answers to five specific questions before any action could be taken:
Which SAP workloads were over-provisioned — and by exactly how much?
Which systems could be right-sized immediately with low operational risk?
Which workloads should remain unchanged due to production or DR criticality?
Which workloads were locked under Savings Plans and needed to wait for renewal?
How much monthly and annual savings could realistically be achieved — across both immediate and future optimization phases?
Data-Driven FinOps Assessment
Quper enabled a data-driven FinOps assessment of TCG Lifesciences' SAP workloads on AWS — analyzing historical utilization, instance sizing, pricing commitments, workload criticality, and runtime behavior across the entire SAP landscape to convert infrastructure data into clear optimization actions.
Six months of CPU and memory utilization trends reviewed across every SAP workload — identifying systems with significant unused capacity safely moveable to smaller AWS instances.
Non-production, support, production, and DR workloads separated by risk tier — ensuring every recommendation aligned with business continuity requirements, not just cost targets.
Actual operating hours and workload schedules factored into every recommendation — dev, QA, and support systems with limited runtimes prioritized as immediate, lower-risk savings opportunities.
AWS Savings Plan commitments fully accounted for — workloads locked under a 3-year plan staged as future opportunities at the December 2026 renewal, not forced into premature changes.
Measurable Savings, Zero Production Risk
With Quper's FinOps insights, TCG Lifesciences identified both immediate and future savings across its SAP AWS environment. 62.5% of the identified savings can be achieved immediately through non-production workload right-sizing. 37.5% of the savings are planned for the December 2026 Savings Plan renewal phase. 0% production risk — all optimizations were limited to non-production systems and renewal planning.
Concrete Outcomes
By using Quper, TCG Lifesciences moved from cloud cost visibility to practical FinOps action. Every recommendation was backed by six months of utilization data — no guesswork, no risk.
A Phased Optimization Roadmap
Quper gave TCG Lifesciences a clear path forward — act on what's ready now, protect what's critical, and plan the rest for renewal.
Immediate optimization of DEV, QAS, and Solution Manager workloads. These non-production environments showed clear over-provisioning and can be downsized safely without impacting active development cycles.
Production HANA DB, app servers, and DR systems stay untouched. Quper confirmed these are either right-sized or business-critical — no action needed. This ensures zero risk to ongoing business operations while focusing strictly on optimization-ready areas.
Future optimization during AWS Savings Plan renewal. This phase addresses workloads currently locked under long-term commitments, ensuring optimal pricing and flexibility for the next cycle. Quper mapped these dependencies to avoid any vendor lock-in penalties.
