Workload placement and target architecture
Rather than moving every application to the same environment, we place workloads according to performance, data class, latency, licensing, dependency and recovery needs. On-premises systems, private cloud, colocation and suitable public cloud services can form one hybrid model.
- Application and dependency discovery
- Capacity and growth modeling
- Network, identity and data-flow design
- Migration waves and rollback plan
Data protection and recovery
A backup policy is more than a copy count. We define retention, encryption, isolation, immutability, application consistency and recovery testing around the rate of data change. Critical workloads can also be covered by a DRaaS design with a documented recovery sequence.
- RPO/RTO and business impact analysis
- Local, remote and isolated copies
- Application-consistent recovery
- Scheduled recovery tests and reports
Managed day-to-day services
Monitoring, incident management, capacity, patch coordination, backup supervision and change records run through one operating rhythm. Responsibilities across the customer, Sanal Çekirdek and third-party providers are separated in a clear responsibility matrix.
- Alert and incident prioritization
- Capacity and performance reporting
- Configuration and change tracking
- Vendor and facility coordination
Governance that keeps architecture decisions visible
To prevent uncontrolled cloud growth, we define resource naming, access, network zones, backup classes, logging, cost allocation and lifecycle rules. These guardrails make new workload deployments faster and more consistent.
- Landing zone and baseline controls
- Role-based and privileged access
- Tagging and cost visibility
- Resource lifecycle and retirement