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Cloud Computing

Cloud computing refers to the delivery of IT services, including storage, computing power, and applications, over the internet. Rather than owning and maintaining physical servers or data centers, organisations can rent access to a range of services from cloud providers. Key features of cloud computing include scalability, flexibility, cost efficiency, and global access. Cloud computing is broadly categorised into three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It is the foundation for modern IT architectures, supporting hybrid, public, and private cloud deployments.

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Colocation

Colocation is a data centre service model where businesses rent space in a third-party facility to house their IT equipment. Colocation providers offer infrastructure, such as power, cooling, and physical security, while clients maintain control of their hardware and software. This model eliminates the need for businesses to invest in building and maintaining their own data centres, offering cost savings, scalability, and professional infrastructure management. Colocation facilities are equipped with redundant systems to ensure high availability and compliance with service level agreements (SLAs).

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Economizers

Economizers are systems that improve cooling efficiency in data centres by utilizing external air or water when conditions allow, minimizing the reliance on mechanical cooling. There are two types: air economizers, which bring in outside air, and water economizers, which use cool water to absorb heat. Economizers significantly reduce energy consumption and operational costs in suitable climates.

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High-Density Cabling

High-density cabling refers to cable management solutions designed to handle large volumes of data centre cabling efficiently. These systems organize and optimize cable placement, reducing congestion and improving airflow. High-density cabling supports scalability, simplifies maintenance, and enhances the overall reliability of IT infrastructure, particularly in high-performance and hyperscale environments.

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Hybrid IT

Hybrid IT refers to an infrastructure strategy that combines on-premises data centres, colocation facilities, cloud services, and edge computing to meet diverse business needs. This model provides flexibility, balancing the control of on-premises solutions with the scalability and cost efficiency of cloud-based services. Hybrid IT enables businesses to optimize workload placement and resource allocation while maintaining operational efficiency.

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MTTR

Mean Time to Repair (MTTR) measures the average time required to diagnose, repair, and restore a system to operational status after a failure. In data centres, MTTR is critical for evaluating the efficiency of recovery processes and minimizing downtime. MTTR includes the time spent diagnosing issues, sourcing replacement parts, and implementing repairs. A low MTTR value indicates effective maintenance protocols and resource availability, ensuring quick resolution of incidents and high service reliability.

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N+N

N+N redundancy involves fully duplicating all critical systems, providing two complete sets of components to ensure uninterrupted operation. This configuration offers high reliability and is often used in Tier III and Tier IV data centres. N+N redundancy minimizes the risk of downtime and supports stringent service level agreements (SLAs) by providing a fault-tolerant infrastructure. However, it involves higher costs due to the duplication of resources.

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Recovery Time Objective (RTO)

Recovery Time Objective (RTO) is a metric used in disaster recovery planning to determine the maximum acceptable amount of downtime for IT systems following a disruption. It defines the target time within which applications, systems, or processes must be restored to avoid significant impact on business operations. Setting an effective RTO requires evaluating the criticality of IT services, their dependencies, and the associated risks. Achieving a low RTO often involves deploying robust backup systems, high-availability solutions, and rapid recovery protocols. It is a cornerstone of business continuity strategies, ensuring minimal disruption during unexpected outages.

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SLA (Service Level Agreement)

A Service Level Agreement (SLA) is a contract between a service provider and a client that specifies the performance, availability, and reliability expectations for a service. In data centres, SLAs typically define uptime guarantees, response times, and support protocols, ensuring accountability and transparency. An SLA often includes financial penalties for failing to meet agreed standards, emphasizing the importance of reliability.

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Tier 2 Data Centre

A Tier 2 data centre builds upon the foundation of Tier 1 by incorporating partial redundancy for power and cooling systems, reducing the likelihood of service interruptions. These facilities guarantee a 99.741% uptime, which translates to about 22 hours of annual downtime. While they provide improved reliability over Tier 1, they are still not fully fault-tolerant and are unsuitable for mission-critical applications. Tier 2 data centres cater to businesses that need moderate reliability but are not ready to invest in higher-tiered infrastructure.

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