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Reynar IT Capabilities
Strategic Consulting
Aligning technology and business goals with deep technical knowledge and proven business acumen. We bridge the gap between infrastructure decisions and long-term corporate strategy.
- Current State Analysis: Infrastructure health assessment, gap analysis, risk identification, and technology roadmap development.
- Capacity Planning: Growth forecasting, scalable architecture design, AI/HPC infrastructure planning, and future technology readiness.
- Cost Optimization & ROI: Total cost of ownership analysis, OpEx and CapEx optimization, energy efficiency improvements, and ROI modeling.
- Hybrid & Cloud Strategy: Workload placement analysis, hybrid/multi-cloud architecture, private cloud design, and cloud-native consulting.
- Land & Site Assessments: Site selection, feasibility studies, power availability analysis, environmental considerations, and regulatory review for new data centre builds.
- Business Alignment: Strategic roadmaps aligned to business objectives, program governance, technical leadership, stakeholder coordination, risk management frameworks, disaster recovery planning, and compliance strategy.
Infrastructure Design
Engineering facilities with on-site energy generation, grid interconnection, battery storage orchestration, advanced cooling, sustainable power, and fibre connectivity for modern AI workloads. From gas turbines to processors, we design for the next generation.
- Advanced Cooling: Direct-to-chip liquid cooling, immersion cooling, hybrid architectures, CDU integration, and thermal planning for racks exceeding 100–200 kW across modular 4MW–20MW compute blocks.
- Power & Sustainability: MEP engineering, renewable energy integration, high-efficiency UPS systems, grid resilience planning, and gas-to-power coordination for 10MW+ campus environments.
- Fiber Optic Networks: Fibre infrastructure planning, high-speed switching (40/100/400/800 GbE), AI spine-leaf architecture, fibre route diversity, carrier negotiation, cloud connectivity, and edge network design.
- Data Centre Architecture: Tier-certified facility design, modular builds, edge and micro data centres, scalable 4MW–20MW compute block design, and construction management.
- Storage Architecture: Multi-tier storage strategy, NVMe for low-latency access, object storage for scale, and AI/ML storage optimization.
- Critical Environments: Precision temperature and humidity control, environmental monitoring, and airflow management for critical facilities.
- Gas-to-Power Strategy: On-site gas-to-power generation feasibility, baseload planning, commissioning alignment with compute deployment, and capacity scaling for 10MW+ environments.
- Grid Interconnect & Resilience: Utility interconnection strategy, redundancy modelling, transmission constraints analysis, and grid stability planning under high-density compute loads.
- BESS & Energy Orchestration: Battery Energy Storage System integration, load balancing, peak shaving, and coordinated energy optimisation between generation and high-density AI compute demand.
Migration & Consolidation
Seamless transitions with zero downtime. Proven expertise executing migrations for 14,000+ users across mission-critical systems serving nearly one million citizens.
- Physical DC Relocations: Full facility moves with secure equipment transport, infrastructure re-establishment, and compressed timelines.
- Co-Location Migrations: Provider transitions, hybrid deployments, carrier coordination, and right-sizing for cost optimization.
- Cloud Migrations: Strategic workload assessment, cost modeling, architecture design for AWS/Azure/GCP, and application modernization.
- DC Consolidation: Multi-site consolidation, server virtualization, infrastructure rationalization, and legacy decommissioning.
- Enterprise System Transitions: Enterprise system migrations including SAP S/4HANA transitions, ERP platform upgrades, and complex multi-system cutover planning within regulated environments.
- Infrastructure Modernisation: Legacy infrastructure upgrades, technology refresh programmes, and phased modernisation roadmaps within regulatory and operational constraints.
- Risk Mitigation: Proven 5-phase methodology with zero-downtime approaches, rollback planning, data integrity verification, and regulatory compliance throughout.
Operations & Security
Building resilient infrastructure across physical security, cybersecurity, regulatory compliance, and monitoring — non-negotiable in today's threat landscape.
- Operations & Monitoring: DCIM deployment, monitoring implementation, alerting configuration, incident response processes, and runbook creation.
- Automation & AIOps: Container orchestration, predictive analytics, automated remediation, self-healing infrastructure, and AI-driven optimization.
- Cyber Security: Zero-trust architecture, network segmentation, SIEM implementation, threat detection, OT security for building systems, and NIST 800-53 compliance alignment.
- Physical Security: Biometric access control, surveillance design, perimeter hardening, intrusion detection, 24/7 monitoring strategy, and unified physical-digital security operations.
- Capacity & Asset Mgmt: Real-time tracking of power, cooling, space, and network capacity with forecasting, inventory management, and CMDB integration.
- Compliance Advisory: Regulatory alignment, certification readiness, audit documentation, and data governance guidance.
AI & Data Strategy
Bridging data science ambitions and production reality. AI/ML workloads require specialized infrastructure that traditional designs cannot support.
- Data Strategy: Data modeling for AI readiness, migration strategy, multi-tier storage architecture, and data protection planning.
- AI/ML Infrastructure: GPU cluster design, liquid cooling for AI racks, ML system architecture, container orchestration, and private AI cloud planning.
- Analytics & Edge: Large-scale real-time analytics, edge AI deployment, IoT system architecture, and streaming data infrastructure.
- MLOps & Platforms: MLOps infrastructure design, model management platform selection, CI/CD for ML workflows, and monitoring and observability.
- Distributed Streaming: Apache Kafka, Spark, and Flink for millions of events per second — real-time data pipelines and streaming architecture design.
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