Training Course: Data Centre Professional Infrastructure

Introduction

Overview of data centers and their importance in modern business operations Evolution of data centers and current trends in the industry, Introduction to data center infrastructure, components, and key terminology

Course Objectives

• Develop a comprehensive understanding of data center operations and management principles
• Gain knowledge about critical infrastructure components and their interdependencies
• Learn best practices for maintaining high availability, efficiency, and security in data centers
• Understand capacity planning, risk management, and disaster recovery strategies
• Explore emerging technologies and industry standards in data center operations

Course Outline

Day 1: Introduction to Data Center Operations

• Data center overview and industry trends
• Key roles and responsibilities in data center operations
• Regulatory and compliance considerations
• Data center standards and frameworks (e.g., TIA-942, Uptime Institute

Day 2: Data Center Infrastructure

• Power and cooling systems in data centers
• Network architecture and connectivity options
• Storage and server technologies
• Data center cabling and physical infrastructure

Day 3: Monitoring and Maintenance

• Proactive monitoring and preventive maintenance strategies
• Performance metrics and key performance indicators (KPIs)
• Incident management and response procedures
• Change management and configuration control

Day 4: Capacity Planning and Resource Management

• Capacity planning methodologies and tools
• Resource allocation and utilization optimization
• Scalability considerations and future-proofing
• Virtualization and cloud computing in data centers

Day 5: Risk Management and Security

• Risk assessment and mitigation strategies
• Data center security measures and access controls
• Business continuity and disaster recovery planning
• Physical security and environmental considerations

Emerging Technologies and Industry Trends

• Internet of Things (IoT) and edge computing
• Artificial Intelligence (AI) and machine learning in data centers
• Sustainable and green data center practices
• Industry case studies and real-world examples