Borealistech helps organizations design, automate, and operate large-scale cloud, telco private cloud, and network platforms — combining deep carrier engineering expertise with modern AI-powered automation.
From architecture and vendor selection through production deployment, automation, and Tier-4 escalation — we work hands-on, not just advisory.
LLM-integrated automation for network operations — natural language config management, RAG knowledge stores, GitLab-based change approval pipelines with full audit trails. Built on Claude, MCP, Python, and Ansible.
Design and deployment of OpenStack, RHOSO, and OpenShift-based telco private cloud platforms. Hybrid cloud connectivity across AWS and GCP. Design, build, and support of SDN platforms including Juniper Contrail / Tungsten Fabric and OVN.
End-to-end migration playbooks for complex platform transitions — OSP16 → OSP18, OSP16 → OSP18, hardware → private cloud. Automated config generation tooling, phased cutover plans, rollback procedures.
IP/MPLS backbone, BGP, L2/L3 VPN, VXLAN, Internet peering. Nokia 7750 SR OS and Juniper MX/QFX architecture. VRRP, BFD, QoS policy design for carrier-grade 5G/4G service platforms.
Ansible, Terraform, and GitLab CI/CD pipelines for network and cloud provisioning. GitLab Runner-based change execution with mandatory approval gates, dry-run validation, automated snapshot management, and full audit trails.
Design, deployment, and automation of Proxmox VE hypervisor clusters for lab, pre-production, and production environments. VM/LXC lifecycle automation, cluster networking, storage integration, and Infrastructure as Code workflows.
High availability design, fault tolerance, capacity planning, production-readiness assessment. Tier-4 escalation support for national-scale platforms. Observability, incident response, SLA management.
Borealistech is a boutique infrastructure consulting practice built on carrier-grade engineering experience at national scale.
Our founder has designed, built, and operated platforms that carry Canada's wireline and wireless traffic — from the MPLS backbone through 4G/5G core private cloud, hybrid cloud, and now AI-augmented network operations.
We specialize in the problems that sit between traditional networking and modern cloud: organizations that have outgrown manual operations but haven't yet made the full transition to software-defined, automated infrastructure.
We architect, build, and operate alongside your team — transferring knowledge and leaving behind systems that your engineers can own and extend.
Nokia, Juniper, Cisco, Red Hat, AWS, GCP — designed and certified at national carrier scale across all major platforms.
We apply LLMs to real operations problems today — not as a future roadmap, but as production tooling with safety guardrails and audit trails.
We write the code, build the pipeline, configure the switch. Architecture advice and implementation in the same engagement.
Every engagement ends with your team owning and understanding what was built — not a black box that requires us to return.
Every engagement follows the same discipline we apply to production infrastructure — understand first, propose with evidence, build with safety, hand off with confidence.
We start by understanding your current platform, operational pain points, and business objectives — not by selling a pre-packaged solution.
We produce a concrete, opinionated architecture with clear tradeoffs, vendor recommendations, and a realistic delivery plan.
We implement hands-on — writing code, building pipelines, configuring devices — with safety guardrails and rollback at every step.
Production-readiness testing, failure simulation, capacity validation. We don't call something done until it survives realistic failure scenarios.
Documentation, runbooks, and hands-on sessions so your team owns and operates what was built without ongoing dependency on us.
Hands-on production experience across the full infrastructure stack.
Whether you're planning a platform migration, building a network automation practice, or need Tier-4 escalation depth — we'd like to hear about it.