VMware exit and SAP upgrade in one cutover, then continuous cloud operations.
How San Fernando chose AWS on a written savings commitment, moved its SAP estate and 40+ applications off VMware in eight months with an SAP upgrade in the same cutover, and has kept adding to the same foundation: continuous operations, a cloud-native data platform, and GenAI agents.
Founded in 1948, San Fernando is one of Peru's leading food companies, with vertically integrated operations spanning feed production, breeding, farming, processing and distribution.
Its technology environment supports business-critical operations across production, supply chain, finance, quality and distribution, making continuity, performance and data availability essential.
The business challenge
A growing business that had outgrown its infrastructure.
San Fernando's VMware estate, split between its own data center and a hosting provider, had become complex and costly to maintain, and the cloud decision was still open. The company needed more than an infrastructure move: it needed to reduce operational risk, keep SAP supported, pay less than it was paying, and create a foundation that could adapt with the business.
An estate at its limits at peak
Performance and scalability constraints as operations and data requirements grew, affecting critical applications during periods of higher demand.
An SAP upgrade coming due
The SAP platform was approaching end of support and needed to be upgraded without disrupting the business processes that depended on it.
Data in separate systems
Business intelligence workloads were separated from other data sources, limiting visibility and slowing cross-functional analysis.
Rising security and resilience requirements
Stronger security controls, monitoring, backup and governance were needed for regulatory and operational requirements.
Seasonal scalability
Demand fluctuations required an environment that could scale faster and more cost-effectively than fixed on-premises infrastructure.
The skie.io approach
One transformation across infrastructure, SAP, data and operations.
skie.io designed and executed a phased cloud transformation that addressed the immediate migration while establishing the capabilities San Fernando would need after the move.
Portfolio assessment and migration planning
Assessment of VMware-hosted applications, infrastructure dependencies and workload criticality, producing a phased plan with the right migration approach for each workload, and an AWS landscape designed optimized from the start so that its run cost could be committed to in writing.
SAP upgrade and migration
San Fernando's core ERP platform was upgraded to a supported level and migrated to AWS infrastructure optimized for SAP in the same cutover, with a resilient architecture for availability, performance and growth. SAP stayed on ECC, keeping the S/4HANA decision open inside the original budget.
Application and infrastructure migration
Critical SAP and non-SAP applications migrated using AWS practices and tools designed to minimize downtime and maintain business continuity.
Modern data platform
A cloud-native data platform built alongside the migration: a data lake on object storage, an auto-scaling warehouse and serverless processing, giving teams faster access to information across production, supply chain, finance and quality. It runs as net-new AWS consumption inside the budget the commitment freed.
Security and operational readiness
Private network architecture, least-privilege access, MFA, centralized monitoring, threat detection, audit trails, automated patching and backup management.
Results
A modern foundation with business-wide impact.
The transformation moved San Fernando beyond infrastructure replacement. It delivered the committed savings, created a secure, scalable platform that supports critical operations and faster analysis, and left room in the budget for what came next.
Business impact
- AWS chosen on a written 20%+ savings commitment against prior infrastructure and managed-services spend, delivered as a step-down over three years
- Critical applications and infrastructure migrated in eight months
- Business continuity maintained throughout a complex transformation
- Expanded access to data across production, supply chain, finance and quality teams
- A platform capable of supporting future modernization and growth
Operational impact
- Migration completed without data loss
- 24/7 monitoring, automated alerts and structured incident management established
- Security and compliance controls strengthened
- Ongoing cloud cost reviews and optimization practices introduced
Technology impact
- SAP upgraded to a supported level in the same cutover; S/4HANA decision kept open
- Enterprise-level availability for production workloads
- Improved application response times and faster analytics
- A scalable cloud-native data and analytics foundation
Ongoing relationship
From migration to continuous cloud operations.
The migration was the beginning of a broader operating relationship. San Fernando's AWS environment is run day to day by skie.io under Guardian, with continuous Sage optimization built in: monitoring, incident response, patching, backup, cost and architecture optimization in one operating model, delivered inside the committed price.
24/7 operations and incident management
Monitoring and alarms cover SAP and the supporting infrastructure around the clock. Alerts open service-desk tickets automatically; business-impacting incidents are followed by root cause analysis.
Patch and backup management
Automated OS patching coordinated around agreed maintenance windows; managed backup routines with periodic restore tests.
Continuous optimization with Sage
Sage keeps analyzing the environment for cost, architecture and governance improvements; San Fernando approves what to act on and Guardian executes it, so the baseline does not drift as the estate grows.
Architecture and risk improvement
AWS Well-Architected Reviews generate a prioritized remediation plan, so improvements are scheduled by business and technical risk.
Disaster recovery
skie.io continues to work with San Fernando on the disaster recovery design and implementation plan for the AWS environment.
The self-funding model
Operations were delivered inside the committed price: the savings against the previous estate fund the operations that preserve them, and continuous optimization keeps the baseline from drifting. The same model made Airth's cloud self-funding.
What comes next
A cloud environment designed to keep improving.
San Fernando's sequence is the self-funding model end to end: migrate the whole estate, operate it from day one, add a data platform on the same foundation, then GenAI. Each stage landed on the same AWS estate, inside the budget the first one freed.
Moving a complex VMware or SAP environment to AWS?
Two clocks are running. Make one decision, not two.
See how skie.io moves SAP and everything around it off VMware to AWS, lands it optimized, and operates it from day one.