Optimize Proxmox, Docker & Linux Infrastructure

Our stack runs on a mix of Proxmox VMs, bare-metal Linux, and Docker containers that host several resource-intensive workloads (WordPress sites, small AI services, internal tools). Performance has started lagging, so the goal is a measurable speed-up across the board—CPU, memory, disk I/O, and network throughput.

Scope of the optimisation
• Server side: fine-tune Proxmox (kernel parameters, storage back-ends, CPU pinning) and harden the underlying Linux hosts, making sure Docker containers inherit those gains.
• Network side: analyse current routing, bridges, VLANs and SDN overlays, then remove bottlenecks and reduce latency between VMs, containers and external clients.
• Application side: profile the heaviest WordPress and AI containers, tweak PHP-FPM, database settings, and container resource limits so end-users feel the difference.

Deliverables
1. A concise before/after benchmark report (sysbench, iperf, web-page load times).
2. Updated configuration files or Ansible playbooks so changes can be reapplied.
3. Step-by-step summary of what was changed and why, so future maintenance is straightforward.

Acceptance criteria
• ≥20 % improvement in average response time on WordPress front-end.
• Consistent CPU steal time below 3 % on Proxmox hosts during synthetic stress tests.
• Network latency between containers on separate nodes <1 ms (internal), <20 ms (external).

Everything happens on an isolated staging cluster first; once results are verified we cut over to production during a low-traffic window. SSH access and existing monitoring dashboards (Prometheus + Grafana) are ready for you as soon as we agree on the plan.