Readiness Checklists
AvailableInfrastructure and deployment readiness self-assessments.
Case studies, technical articles, and reference material for infrastructure leaders.
Engineering case files
These case files draw on real-world infrastructure work. Identifying details and protected implementation specifics are intentionally excluded.
A multi-site backbone modernization program focused on capacity expansion, resiliency, and controlled production migration.
Read case fileA spine-leaf fabric upgrade prepared for production traffic through structured readiness gates and operational handoff.
Read case fileA GPU cluster network validation program focused on lossless Ethernet behavior, congestion visibility, and production readiness.
Read case fileA multi-region edge program aligning POP design, turn-up procedures, and operational handoff around one repeatable standard.
Read case fileA phased migration of multi-homed edge and backbone BGP policy to a standardized, automation-ready community model.
Read case fileA reliability program addressing recurring BGP convergence delays, path-selection events, and incident-response gaps.
Read case fileResources
Self-assessment checklists and solution guides for AI networking, automation, observability, and data center programs.
Articles
Architecture, operations, and delivery guidance for infrastructure leaders.
Failure domains, rollback discipline, and operational readiness for multi-site infrastructure programs.
An incremental approach to infrastructure automation for teams that cannot afford experimental change in production environments.
What modern data center fabrics solve, what operational complexity they introduce, and how to evaluate fabric refresh decisions.
Optical transport concepts that matter for backbone, DCI, and capacity decisions — OSNR, protection, and lead times.
Why routing communities, standardized policy templates, and change discipline matter for production BGP operations.
Architecture and operational considerations for regional edge sites — peering adjacency, resiliency, and standardized turn-up.
How to set utilization targets, model growth, and manage lead times for WAN, DCI, and backbone capacity decisions.
How to prioritize which operational procedures to automate first — and when not to automate.
A practical validation framework for RoCE and high-performance Ethernet fabrics before GPU workloads go live.
Why GPU density changes cable plant, rack layout, and fabric planning — and what infrastructure leaders should align early.
What infrastructure leaders get wrong during data center migrations—and how to plan for business continuity, technical risk, and clean cutovers.
What changes when you move from a single GPU cluster to a production AI platform—and how to plan for it early.
A practical framework for de-risking migrations across colocation, hyperscale, and hybrid environments.
Why telemetry should be part of the build, and how to turn signals into operational confidence.
Why average utilization misleads on AI and storage fabrics — and how network bottlenecks show up as GPU idle time and missed SLAs.
How to evaluate GPU fabric options with business and technical tradeoffs — without defaulting to vendor preference or hype.
Resource library
Checklists, guides, and playbooks for planning and delivery.
Infrastructure and deployment readiness self-assessments.
AI networking, automation, observability, and data center transformation.
Field-tested approaches to running infrastructure at scale.