Our Riyadh cloud services cover migration, modernization, and ongoing management with NCA/NDMO compliance integrated throughout. Cloud migration methodology: (1) Assessment: we assess the existing infrastructure — applications, databases, integrations, dependencies — and classify each workload against NDMO data classification. The assessment produces: a workload inventory (every application, its dependencies, its data classification, and its cloud suitability), a migration strategy per workload (rehost — lift and shift for applications that work unchanged on cloud; replatform — minor modifications for cloud optimization; refactor — rewrite for cloud-native architecture; or retain — stay on-premises for specific regulatory or technical reasons), a target architecture (which cloud provider, which region, which services — mapped to data classification requirements), and a migration sequence (which workloads migrate first — typically starting with development/test environments, then non-critical production, then critical systems). (2) NCA compliance implementation: before migrating any workload, we implement the NCA Cloud Computing Cybersecurity Controls (CCC-1:2020) applicable to the cloud deployment. The 114 controls cover: governance and risk management (cloud security policy, risk assessment, third-party risk management), identity and access management (privileged access management, MFA, SSO integration with the organization's identity provider), data protection (encryption at rest and in transit, key management — using the cloud provider's KMS or a dedicated HSM for high-sensitivity data), network security (virtual network segmentation, firewall rules, DDoS protection, VPN connectivity to on-premises), and logging and monitoring (security event logging, SIEM integration, incident response procedures). (3) Migration execution: we execute migrations in waves — typically 3-6 workloads per wave, with validation between waves. Each migration includes: pre-migration testing (the application is deployed on cloud in parallel with the existing deployment, tested with realistic data, and validated for functionality, performance, and security), cutover planning (a documented cutover plan specifying: sequence of steps, responsible persons, rollback triggers, and communication plan), cutover execution (typically during a weekend maintenance window — DNS switchover, data synchronization verification, and health check validation), and post-migration monitoring (intensive monitoring for 2 weeks after migration — performance baselines, error rate tracking, and user experience validation). Cloud optimization: (1) Cost management: Saudi organizations frequently overspend on cloud by 30-50% due to: over-provisioned instances (sized for peak load and never adjusted), unused resources (instances and storage left running after projects end), lack of reserved instance commitments (paying on-demand rates for predictable workloads), and unoptimized storage (data stored on premium SSD when standard storage would suffice). We implement: real-time cost dashboards (spending by service, by department, by project — visible to finance and IT), automated rightsizing recommendations (identifying instances that consistently use less than 40% of allocated capacity), reserved instance and savings plan optimization (committing to baseline usage at 25-40% discount), and resource lifecycle management (automated shutdown of development environments outside working hours, cleanup of orphaned resources). (2) Performance optimization: cloud performance tuning for Saudi workloads including: CDN configuration (serving Saudi users from the nearest edge location — reducing latency for web applications), database optimization (query performance analysis, index tuning, read replica configuration for read-heavy workloads), and autoscaling configuration (handling the extreme seasonal patterns of Saudi business — Ramadan traffic surges, government fiscal year-end spikes, Hajj/Umrah seasonal peaks).