Compute sizing
Capacity is based on workload behavior rather than a generic specification sheet.
- CPU topology
- Memory capacity
- NUMA awareness
- Headroom and growth
We design, implement, upgrade and migrate x86, SPARC, Power and ARM platforms with CPU, memory, I/O, network, storage, virtualization and availability considered together.
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Sizing considers what the workload does, how it reaches storage and network services, and what must remain available during failure or maintenance.
Capacity is based on workload behavior rather than a generic specification sheet.
PCIe, NIC/HBA, storage paths and bandwidth are reviewed as one data path.
Hardware, firmware, operating system and connectivity are validated as one implementation.
Prepare the platform with supported firmware, system settings and connectivity.
Connect compute to network, SAN, storage, virtualization and monitoring.
Migration planning includes application, data, network and operating-system dependencies.
Replace or evolve platforms while preserving service requirements.
Move workloads between x86, SPARC, Power or other target platforms when technically appropriate.
A server is not complete until paths, services and failure behavior are validated.
Verify compute, memory, I/O, network and storage after implementation.
Leave configuration and evidence ready for operations.
The CPU model is only one part. We review workload profile, memory, I/O topology, connectivity, storage, operating system and availability strategy.
We start with the actual or expected behavior of the application.
We evaluate platform and generation according to compatibility and support.
The server needs enough compatible paths to network and storage.
We design maintenance and failure behavior instead of assuming redundancy will work by itself.
Share the workload, current platform and growth objective; we can define a practical architecture and migration path.