Platforms + data systems

Support for the systems that run business operations.

PAFDS configures, maintains, documents, migrates, and supports VMware, Hyper-V, Proxmox, Kubernetes, SQL databases, MongoDB, and MongoDB Atlas environments.

Large or heavy data should live where it makes technical and financial sense. PAFDS can help separate cloud-hosted app data from large local/server-side storage, reporting workloads, backup sets, and cost-sensitive database usage.

Virtualization Kubernetes and database platform map visual

Supported work

PAFDS can help with both operations and projects, with written change plans when production systems are involved.

Virtualization

VMware, Hyper-V, and Proxmox host support, VM lifecycle, snapshots discipline, storage review, backup coordination, migration planning, and recovery documentation.

Kubernetes

Cluster support, workloads, ingress, certificates, storage checks, observability, maintenance planning, troubleshooting, and practical documentation for business applications.

SQL and MongoDB

Schema-aware support, backup validation, restore checks, indexes, user access, performance review, reporting support, and integration with business dashboards.

MongoDB Atlas cost control

Atlas should be used intentionally for the right data. PAFDS can review storage growth, backups, cluster sizing, retention, logging, and what belongs on local Ubuntu/server infrastructure instead.

Operating proof

For production platforms, "it should work" is not enough.

01 Backups verified

Backup status, retention, restore path, and practical recovery notes are recorded.

02 Change plan written

Production work uses a method, expected result, and rollback path when risk justifies it.

03 Cost visible

Cloud database spend, storage growth, logs, and large data placement are reviewed for business impact.