Showing results for "datacenter"
For {{datacenter_or_lab}} propose a staged cooling upgrade. Model energy/water savings, capex/opex, risks, and migration plan. Include safety, maintenance, and monitoring SOPs.
Author: Tsubasa Kato
Category: infrastructure | Model: gpt-5-thinking
Act as a DC thermal lead. Produce a retrofit plan for hot/cold aisle containment without downtime. Deliver: baseline (ΔT, CFM, rack kW), CFD-lite assumptions, blanking/brush kits, containment bill of ...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Create a forecasting model for rack space, power, and cooling. Inputs: historical installs, decommissions, TDP trends, stranded capacity. Deliver: 6–12 month projections, heatmaps, what-ifs (new clust...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Design a packet-loss hunt. Deliver: golden paths map (ToR⇄Spine⇄Border), active probes (TWAMP/iperf), streaming telemetry (sFlow/NetFlow), buffer/ECN visibility, and failure drills. KPIs: loss ppm, mi...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Be the fleet baseline owner. Build a compliant firmware/BIOS/BMC matrix across vendors. Deliver: source of truth, hash/signature checks, ringed rollout (lab→canary→zone), auto-rollback, maintenance wi...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking