FalconX Tech
FalconX Tech
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Cloud Architecture & Migration

We design and execute cloud transformations across AWS, Azure, and GCP — from lift-and-shift migrations to full cloud-native rebuilds. Our certified architects have migrated over 80 enterprise workloads with 100% uptime during transition.

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What's included

Lift & Shift Migration

Fast, low-risk migration of existing workloads with minimal application changes.

Cloud-Native Refactoring

Containerization, microservices decomposition, and serverless architecture adoption.

FinOps & Cost Optimization

Reserved instance planning, right-sizing, and automated cost anomaly detection.

Multi-Cloud & Hybrid

Architecture designs that span AWS, Azure, and GCP with unified networking and identity.

Disaster Recovery

RPO/RTO-optimized DR strategies with automated failover and regular chaos testing.

Performance Engineering

CDN configuration, database optimization, and auto-scaling policies for peak loads.

Business impact

35%
Cost Savings

Average infrastructure cost reduction achieved within 6 months of cloud optimization.

Deployment Speed

Faster release cycles after migrating to cloud-native CI/CD and containerized workloads.

99.99%
Availability

Uptime SLA achieved across all production workloads after migration to multi-AZ architecture.

How we work

01

Cloud Readiness Assessment

Technical audit of current infrastructure, application dependencies, and migration complexity scoring.

02

Migration Blueprint

Wave-based migration plan with risk ratings, timelines, and rollback procedures for each workload.

03

Execute Migration

Parallel-run migrations with automated validation tests and zero-downtime cutover strategies.

04

Optimize & Govern

Post-migration tuning, cost governance dashboards, and 24/7 cloud operations support.

Case Study · Fintech
Challenge

A Series B payments startup was spending $280K/month on an over-provisioned on-premise data center with 94% average uptime — unacceptable for financial services.

Solution

We executed a 12-week migration to AWS, implementing EKS for containerized services, Aurora for databases, and CloudFront for global distribution.

Result

Monthly infrastructure costs fell to $84K. Uptime reached 99.97%. Deployment frequency increased from bi-weekly to daily.

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