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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 center builds.
- Business Alignment: Strategic roadmaps aligned to business objectives, risk management frameworks, disaster recovery planning, and compliance strategy.
Infrastructure Design
Engineering facilities with advanced cooling, sustainable power, and fiber connectivity for modern AI workloads. From power systems to processors, we design for the next generation.
- Advanced Cooling: Direct-to-chip liquid cooling, immersion cooling, hybrid architectures, and HVAC optimization for racks exceeding 150 kW.
- Power & Sustainability: MEP engineering, renewable energy integration, high-efficiency UPS systems, and grid resilience planning.
- Fiber Optic Networks: Fiber infrastructure planning, high-speed switching (40/100/400 GbE), cloud connectivity, and edge network design.
- Data Center Architecture: Tier-certified facility design, modular builds, edge and micro data centers, 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.
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.
- 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, and OT security for building systems.
- Physical Security: Biometric access control, surveillance design, perimeter security, 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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