LOG-052
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◇ SERIES PATH
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Infrastructure
Intelligence Hub
SANI—N5
— Field notes from the platform layer. I document what I learn building AI infrastructure, serving models, and running clouds — no cargo, just clusters, GPUs, and pipelines.
AI INFRASTRUCTURECLOUDINFERENCEMLOPSDEVOPSPLATFORMML INFRANETWORK
◉ FIELD LOGS
⊗ INFRA BUILDS SHIPPED
⁂ HANDS-ON RATE
00
Runbooks & deep-dives on infra + ML systems
LOG.ALL
00
Clusters, gateways, pipelines — live & reproducible
STK.DEPLOYED
00%
Tested on real GPUs & real bills. No hype.
LIVE.REC ●
◈ FEATURED RUNBOOKLOG-052 / INFERENCE
Serving LLMs at 4x:
vLLM, KV-Cache
& Autoscaling
Inference engineering field log — how continuous batching + PagedAttention took a 7B model from 18 → 74 tok/s on one A10G, and how I autoscale it on Kubernetes without burning budget.
052
Infra Logs
Archived
Archived
TRACK 01 / RUNBOOKS ⊕
14
Stacks
Deployed Live
Deployed Live
TRACK 02 / BUILDS ✕
◉ INFRA KNOWLEDGE BASE — 01
Learning Logs
& Field Notes
Filter by engineering track. Add your own tags, delete ones you don't use — the filter bar is yours. Tags persist locally.
⌕
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52RUNBOOKS
LOG.ALL
LOG.ALL
09TRACKS ACTIVE
TRK.INFRA
TRK.INFRA
140+DEPLOYS LOGGED
RCV.24H
RCV.24H
07:12NEXT WINDOW
LIVE.REC
LIVE.REC
▣ PLATFORM EVIDENCE — 02
Deployed
Infrastructure Stacks
Not demos — reproducible stacks. Inference gateways, GPU schedulers, IDPs, GitOps pipelines. Each with Terraform/Helm you can actually run.
◉ 09CLUSTERS MANAGED
✳ 1,240PIPELINE RUNS
◉ PLATFORM
ENGINEERING DEPT.
ENGINEERING DEPT.
▣ STK — STACKS BUILT FOR PRODUCTION
INFRA-09 // REPRODUCIBLE
STACKS →
Serving, scheduling,
observability & delivery.
Production-grade infra.
Infra stack
◈ I SANI.LOG — 03
Infrastructure
Signal Index
0% Reproducible
Build Rate
Build Rate
◉ PLATFORM CONTROL PLANE — SEPTEMBER 2026
N5 Platform
Engineering Expedition
◈ | SANI.LOG
Phase 1: Foundations & Clusters
Phase 2: Inference & Autonomy
◌K8s + Terraform BaselineDONE — Q1
◉GitOps + ObservabilityDONE — Q2
⚠Inference Gateway TuningIN PROGRESS — NOW
◉GPU Scheduling + QuotasIN PROGRESS
◎Internal Developer PlatformQ4 TARGET
⧉Base Activation — Teach & PublishALWAYS ON
ID // OPERATOR FILE
Arafat Sani
AI Infra / Platform Engineer
FROM
Tutorials→TO
Production
Tutorials→TO
Production
Learning in public across 9 tracks: AI infra, cloud, inference, MLOps, DevOps, infra, platform, ML infra, network. Break it, measure it, log it, automate it.
09
STACK: PY / GO / K8S / TF / CUDA / vLLM / eBPF
14/21 Sprints completed ◉
Inference Load
Exposure
Currently deep in vLLM, KV-cache tuning, HPA on custom GPU metrics, and Karpenter scale-to-zero. Guardrails: load tests + cost budgets.
PLATFORM AUTHORITY
PIPELINE HEALTH93.5%
GPU UTILIZATION78.8%
DOCS DISCIPLINE91.2%
- ◉ MLOps & Release Unit
- ◈ Cloud / Network Unit
CONTINUE →
AS
IMG // OPERATOR
◉ FULL OPERATOR DOSSIER — EDITABLE IN ADMIN
Arafat Sani
AI Infrastructure / Platform Engineer
I build and document production AI infrastructure...
▣ SKILLS // PROFICIENCY
▣ TECH STACK
▣ CERTIFICATIONS
▣ EDUCATION
INFRA COLLABORATION
Builds &
Case Studies
◈ Every message is routed with context. Hiring for AI infra / platform / MLOps, or want a runbook review? I reply within 48 hours.
◇ DISCUSSION