01
Network SRE & Automation
Routing, BFD, EVPN/VXLAN, telemetry, fault injection and infrastructure changes delivered through version-controlled workflows.
AN ENGINEERING FIELD LAB / EST. 2026
Production networking.
AI infrastructure.
One engineering mindset.
Documenting the protocols, failure modes and operational details behind modern data center fabrics, high-performance networking and GPU infrastructure.
FABRIC CONTROL PLANE● LAB
SONiC + FRRBGP EVPN / VXLANRoCEv2 / RDMAKUBERNETESDCGM / TELEMETRY
01 / ENGINEERING FOCUS
Built to be tested.
Not just diagrammed.
From control-plane convergence to workload-level impact, the emphasis is reproducible tests and evidence.
02
AI Fabric & RDMA
100GbE networking, RoCEv2, congestion signals and performance measurements, including the limitations surfaced by physical testing.
03
GPU Ops & Kubernetes
GPU Operator workflows, device allocation, NVML-based simulation, DCGM metrics and operational visibility across Kubernetes.
02 / TECHNICAL WRITING
Field notes from
the lab.
A ten-part Network SRE collection grounded in independent Cisco CML labs, operational evidence and engineering analysis. Covering routing, EVPN/VXLAN, automation, incident response, validation and operational reliability.
NETWORK SRE / ARTICLE 01
INTRODUCTION
From Manual Operations to Network SRE.
Three Cisco CML labs covering routing, automation, EVPN/VXLAN and incident evidence.
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NETWORK SRE / ARTICLE 02
BASELINE CONTROL
Building a Dependable Network Baseline.
OSPF configuration backups, drift detection, normalization and operational checks.
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NETWORK SRE / ARTICLE 03
INCIDENT RESPONSE
An Alert Is Not a Root Cause.
BGP failover, route-selection problems, syslog correlation and automated evidence collection.
Read article →
NETWORK SRE / ARTICLE 04
FABRIC VALIDATION
Validating a Cisco NX-OS VXLAN EVPN Fabric.
OSPF, EVPN, NVE, L3 VNI operation and repeatable fabric validation.
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NETWORK SRE / ARTICLE 05
CI/CD
From Webhook to Production: GitLab CI/CD as the Network Source of Truth
Validation pipelines, controlled deployment, configuration drift and baseline safeguards.
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NETWORK SRE / ARTICLE 06
FAILURE INJECTION
Engineering Network Reliability Through Failure Injection
Exercising routing failures and examining the resulting network and incident evidence.
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NETWORK SRE / ARTICLE 07
OBSERVABILITY
A Green Dashboard Can Still Hide a Broken Path
The operational gap between healthy protocol metrics and reliable traffic delivery.
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NETWORK SRE / ARTICLE 08
VALIDATION
A Green Check Can Be a False Positive
Incomplete captures, stale state and weaknesses in automated validation.
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NETWORK SRE / ARTICLE 09
CORRECTIVE ACTION
The Incident Cleared. What Did We Fix?
Connecting incident findings to durable corrections and regression-test design.
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NETWORK SRE / ARTICLE 10
OPERATIONAL HANDOFF
The Network Is Up. Who Owns the Next Incident?
Ownership, operational readiness and preparing for the next network incident.
Read article →03 / ABOUT THE LAB
Deep network roots.
New infrastructure frontiers.
Pivot AI Lab brings an operations-first perspective from more than two decades in enterprise, telecommunications and data center networking into modern AI infrastructure engineering.
Every published technical claim should survive the same scrutiny as a production incident: documented configuration, measurable behavior and repeatable testing.
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