Migrate to Cloud Without Downtime, Cost Surprises, or Security Risks

AI automation compresses discovery, planning, and cutover cycles—typically enabling up to 40% faster timelines and ~35% cost reduction through right-sizing, automated testing, and policy-driven orchestration. Beyond speed and savings, AI baselines KPIs (cost per workload, performance, risk) and continuously optimizes them post-migration for durable value—versus a one-and-done project.

Our “zero-downtime by design” framework uses progressive cutovers, automated rollback, and real-time dependency checks. We establish clear go/no-go criteria, simulate failure modes, and keep mission-critical services hot while migrating non-critical tiers—so transformation happens without interrupting revenue operations.

Korcomptenz offers migration to Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), delivering secure, scalable, and optimized cloud environments customized to your exact business requirements.

Lift-and-shift entails relocating applications and infrastructure to the cloud unchanged, while modernization entails re-architecting and re-optimizing legacy systems for cloud-native features, enhancing performance, scalability, and future-proofing.

All three.

• Assessment: automated discovery, dependency mapping, and TCO/RoI modeling.
• Execution: policy-driven orchestration, test automation, drift detection, and safe cutovers.
• Run/Optimize: continuous rightsizing, autoscaling, anomaly detection, and FinOps guardrails that keep costs flat as usage grows.

We segment by business criticality, elasticity, and modernization payoff. Commodity systems often migrate via lift-and-shift to capture quick wins; revenue or latency-sensitive services skew to re-platforming; high-change, high-value domains (e.g., pricing, personalization) justify re-architecture to cloud-native. The roadmap balances time-to-value vs. tech-debt reduction by quarter.

Security is shift-left and policy-as-code: identity with Entra ID/Workload Identity, encryption in transit/at rest, posture management, automated patching, and evidence trails for audits. We design with regional controls for data residency, enforce least-privilege at the pipeline level, and map controls to frameworks (e.g., ISO, SOC, HIPAA, PCI) as required.

We help unlock Microsoft/AWS migration funding (often covering a meaningful share of assessment and build). Success is managed via executive scorecards—run-rate cost, SLO/uptime, performance, release cadence, and defect escape rate—plus a Cloud/FinOps operating model that aligns engineering velocity with budget guardrails and chargeback/showback transparency.

In many cases, migration costs can be partially offset through cloud provider funding and partner benefit programs, depending on your workloads, target platform, and eligibility. For example, AWS Migration Acceleration Program (MAP) can provide funding to help offset migration expenses. For Microsoft Azure, Azure Accelerate (which brings together offers like Azure Migrate and Modernize) can provide structured, partner-led support and offers to help move and modernize workloads. 

At Korcomptenz, we help you identify what you qualify for, build the business case, and align the migration plan to available incentives—so you can maximize potential cost coverage (often up to 80%, based on program eligibility and scope).