Labs & Demos
Internal demonstrations and lab simulations showcasing Zyorix's FinOps frameworks: dashboards, tagging compliance models, budget/forecast workflows, and optimisation backlogs.
Lab Simulation (Fintech Profile)
Lab Scenario
Lab scenario: Rapid growth profile where cloud costs grow 400% in 12 months. Engineering lacks cost visibility, finance cannot forecast accurately. Typical Series A pressure for predictable burn rates.
Lab-Validated Framework
Lab-validated 6-Week FinOps Sprint™ framework: waste identification (idle dev/staging resources), reserved capacity planning for steady workloads, and team/feature cost allocation model.
The Results
Why this scenario is representative:
Seed→Series A teams often experience 3–5× spend growth without allocation or RI/SP strategy. Model assumes baseline idle dev/staging, partial tagging, and steady workload components suitable for commitments.
What Was Delivered:
- 90-day FinOps roadmap
- Reserved Instance recommendations (18-month coverage)
- Cost allocation model (by team & feature)
- Automated anomaly detection alerts
- Monthly forecast model
Lab Simulation (Retail Tech Multi-Cloud)
Lab Scenario
Multi-cloud architecture (AWS for compute, GCP for data) with no unified cost view. Multiple teams sharing infrastructure led to allocation disputes and budget overruns. Previous attempt with a SaaS FinOps platform failed due to complexity.
Lab-Validated Framework
Created unified cost allocation framework across AWS + GCP, implemented showback reports for each product team, optimised data transfer costs between clouds, and established governance policies to prevent future waste.
The Results
Why this scenario is representative:
Multi-cloud environments (AWS+GCP) frequently lack unified cost allocation and cross-cloud commitment strategies. Model assumes moderate waste across both platforms with fragmented tagging practices.
What Was Delivered:
- Unified multi-cloud cost dashboard
- Showback/chargeback framework
- Data transfer optimisation playbook
- Team-specific budget alerts
- Quarterly governance review process
Representative Scenario (Modelled)
Lab Scenario
Post-acquisition integration led to duplicate infrastructure and orphaned resources across 15+ AWS accounts. No cost ownership, and engineering team spent more time firefighting than optimising. CFO demanded 20% cost reduction to hit profitability targets.
Lab-Validated Framework
Consolidated AWS accounts using AWS Organizations, identified and decommissioned orphaned resources (34% of total spend), implemented rightsizing for over-provisioned RDS and EC2 instances, and created cost-aware culture through training.
The Results
Why this scenario is representative:
Post-M&A scenarios typically inherit duplicate infrastructure, abandoned projects, and orphaned resources. Model assumes moderate architectural debt with opportunity for consolidation and modernization.
What Was Delivered:
- AWS account consolidation strategy
- Orphaned resource audit & decommissioning plan
- Rightsizing recommendations (50+ instances)
- Cost-aware engineering training (2 workshops)
- Ongoing quarterly health checks
Target Outcomes (Lab Benchmarks)
What the pilot-ready 6-Week FinOps Sprint™ is designed to help you achieve
Based on FinOps industry benchmarks and lab-validated Sprint methodology
See Your Optimisation Potential
Book a free 30-minute discovery call with Sohil to identify potential savings opportunities with the 6-Week FinOps Sprint™