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SAP Optimization & Lifecycle Governance

Make SAP faster, cheaper, and easier to run—without sacrificing reliability. We combine FinOps discipline, performance engineering, and governance guardrails to keep SAP platforms optimized through continuous change, upgrades, and evolving business demand.

1. Cost Optimization (FinOps)

Reduce SAP run-rate using right-sizing, scheduling, storage tiering, and chargeback models—driven by data and ownership.

  • Rightsizing compute/memory/storage based on real workload telemetry
  • Reserved capacity / savings plans strategy and tagging/chargeback governance
  • Cost anomaly detection, monthly optimization cadence, and KPI dashboards
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2. Performance Optimization

Improve throughput and user experience by tuning the full stack—SAP, HANA, OS, storage, and network—using repeatable methods.

  • Baseline performance + bottleneck analysis (CPU, memory, IO, network, DB)
  • HANA tuning, table growth governance, and workload-aware maintenance windows
  • Alert thresholds, SLA/SLO alignment, and continuous regression prevention
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3. Capacity Planning & Scaling

Forecast capacity with confidence—plan growth, projects, and seasonal peaks while keeping SAP stable and cost-efficient.

  • Demand forecasting using historical trends + business events and project pipelines
  • Scaling strategies (vertical/horizontal) for app tier and HANA with constraints mapped
  • Storage growth planning, retention policy impacts, and performance headroom targets
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4. Governance Framework Implementation

Standardize how SAP changes safely—controls, gates, and evidence so upgrades and releases stay predictable and compliant.

  • Architecture standards, build patterns, and “golden” runbook templates
  • Change control, release gates, and compliance evidence paths for audits
  • RACI, escalation paths, service ownership, and lifecycle KPI tracking
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5. Continuous Platform Optimization

Turn optimization into a rhythm—monthly health checks, improvement backlog, and automation that keeps SAP in top shape.

  • Operational health checks across SAP/HANA/OS, drift detection, and standard remediation
  • Continuous improvement backlog with measurable outcomes and owner accountability
  • Automation to enforce standards and reduce toil (patching, checks, reporting)
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6. Resource Utilization Optimization

Increase efficiency by balancing load, eliminating waste, and tuning resource allocation across shared and dedicated landscapes.

  • Workload placement strategy and service tier alignment (prod, non-prod, dev/test)
  • IOPS/throughput tuning, file system hygiene, and lifecycle policies
  • Standardization of instance types, sizing guardrails, and utilization reporting
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