Data Centre Modernization: A Strategic Mission
3 DAYS
INSTRUCTOR LED WORKSHOP
“OUR COURSES CAN BE SPECIALLY TAILORED TO ADDRESS YOUR REQUIREMENT – TELECONTRAN”
COURSE OBJECTIVES
Data center modernization goes beyond replacing aging servers, encompassing the transformation of compute, storage, networking, facilities, security, operations and workload placement. It aims to create infrastructure that is more agile, software-defined, efficient, resilient, and capable of supporting cloud-native and AI-era workloads. Industry leaders such as Cisco, IBM, and Intel emphasize AI readiness, hybrid cloud, automation, sustainability, workload assessment, and alignment with business objectives. Effective modernization is therefore a continuous, outcome-driven process focused on gradual improvement rather than technology replacement for its own sake.
Telecontran’s Data Centre Modernization workshop provides end-to-end coverage of business-aligned transformation that improves where and how workloads run, upgrades the physical and digital infrastructure that supports them, embeds automation and security into operations, and creates a resilient, efficient platform for present and future services—including AI, cloud-native, edge and data-intensive workloads.
After successful completion of this course participants will be able to:
- Differentiate a simple technology refresh from a true modernization program.
- Assess legacy constraints across workloads, compute, storage, network, power, cooling, security, operations and people.
- Use workload requirements to decide among retain, retire, rehost, re-platform, refactor, SaaS, private cloud, public cloud, colocation and edge options.
- Understand the architecture implications of AI/HPC, including accelerated compute, high-density power, liquid cooling, high-speed fabrics and modern storage.
- Explain the roles of SDDC, virtualization, HCI, containers, Kubernetes, IaC, automation, observability and AIOps.
- Integrate Zero Trust, resilience, disaster recovery, business continuity and governance into modernization from the start.
- Evaluate modernization using TCO, performance, capacity, risk, availability, energy and sustainability indicators.
- Build a phased modernization roadmap tied to business outcomes and measurable KPIs.
COURSE CURRICULUM
This course targets CIOs, CTOs, IT directors, data center managers, infrastructure managers, cloud/network/security architects, senior system and network engineers, facility and power specialists, government ICT officials, university and research-network technical leaders, project managers and other personnel responsible for data-center investment, operations or digital-transformation strategy.
Module 1: What Data Center Modernization Really Means
- Hardware refresh vs modernization
- Traditional, modern and AI-ready data centers
- SDDC
- Hybrid cloud
- Edge
- Automation
- Sustainability
Module 2: Drivers, Risks and Modernization Triggers
- Aging platforms
- EOL/EOS risk
- Cost pressure
- Capacity constraints
- Energy inefficiency
- AI and data growth
- Skills constraints
Module 3: Workload Discovery and Portfolio Rationalization
- Inventory applications and dependencies
- Classify criticality, latency, data sensitivity and growth
- Retain / Retire / Rehost / Re-platform / Refactor / Replace
Module 4: Modern Data Center Architecture Principles
- Virtualization
- HCI
- Software-defined compute/storage/networking
- Cloud operating models
- API-driven infrastructure
- Containers and Kubernetes
Module 5: AI Readiness without Overbuilding
- CPUs, GPUs, NPUs and other accelerators
- Workload-driven acceleration
- Memory, storage and network bottlenecks
- Rack-scale efficiency
Module 6: Modernization Maturity Baseline
Module 7: Power, Capacity and High-Density Readiness
- Power path and redundancy
- UPS and battery considerations
- capacity forecasting
- Utility / grid constraints
- Rack-level power planning
- Power quality
Module 8: Cooling Modernization and Thermal Strategy
- Airflow optimization
- Limits of air cooling
- Rear-door heat exchangers
- Direct-to-chip liquid cooling
- CDUs
- Immersion concepts
- Hybrid cooling
- Water and heat-rejection considerations
Module 9: Compute, Acceleration and Platform Modernization
- CPU modernization
- GPUs / NPUs / accelerators
- Virtualization and HCI
- Container platforms
- Kubernetes
Module 10: Network and Storage Modernization
- Spine-leaf
- SDN
- Segmentation
- RDMA concepts
- NVMe / all-flash
- Object and software-defined storage
Module 11: Hybrid Cloud, Edge and Software-Defined Operations
- Edge placement
- Data sovereignty
- Cloud operating model
- IaC
- API-driven provisioning
Module 12: Exercise on Automation, Observability and AIOps
Module 13: Cybersecurity, Zero Trust and Modern Infrastructure Protection
- Identity and resource-centric access
- Segmentation / Microsegmentation
- East-west visibility
- Workload security
- Privileged access
- Encryption
- Vulnerability and patch governance
- Supply-chain and third-party risk
- NIST CSF 2.0 and Zero Trust principles
Module 14: Resilience, Availability and Disaster Recovery
- Fault domains
- Eedundancy choices
- Backup and immutable recovery
- Ransomware resilience
- RPO / RTO
- DR architecture
Module 15: Sustainability and Energy-Aware Modernization
- PUE, WUE and complementary metrics
- Workload efficiency
- Server utilization
- Cooling efficiency
- Water visibility
- Energy and carbon considerations
- Circularity and hardware lifecycle
Module 16: Operating Model, Skills and Governance
- Platform and infrastructure teams
- IT / facility collaboration
- Cloud and FinOps skills
- Automation and security capabilities
- Vendor governance
- Change management
- Documentation
Module 17: Economics, TCO and Prioritization
- CAPEX vs OPEX
- TCO and lifecycle cost
- Energy and maintenance cost
- Cost of downtime and technical debt
- Cloud / Co-location / On-prem comparisons
- Benefits realization
- Prioritization by value, risk and dependency
Module 18: Build the Modernization Roadmap
TRAINING/WORKSHOP | DURATION | TRAINING DATE | LOCATION |
Data Centre Modernization: A Strategic Mission | 3 Days | 9 - 11 December 2026 | Singapore |
OUR HAPPY CLIENTS
WHAT OUR CLIENTS SAY ABOUT TELECONTRAN !!
It is a great honor to be part of this workshop where I learned a lot about Data centre specially on power management, data centre standards and maintenance.
This course covered most of the basis of Data Centre infrastructure, specially deigning and maintaining the data centre.
The training was very good, informative and I gained a lot of knowledge on Linux.
The training was beneficial as the information shared throughout were new and we hope to use all of this information as a guidance for us to develop the necessary regulatory approach for future deployment of data centre in our country.
The workshop was a mixture of networking and data centre terms that was extremely well presented and made very easy to understand.
