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Hardware redundancy involves the duplication of critical components or functions of a system to increase its reliability and ensure continued operation in the event of a failure. This approach is crucial in mission-critical systems where downtime can have significant consequences, such as in aerospace, medical, and financial sectors.
Fault tolerance is the ability of a system to continue operating properly in the event of the failure of some of its components. It is achieved through redundancy, error detection, and recovery mechanisms, ensuring system reliability and availability despite hardware or software faults.
Concept
Failover is a backup operational mode in which the functions of a system component, such as a server, network, or database, are assumed by secondary systems when the primary system becomes unavailable due to failure or scheduled maintenance. It ensures high availability and reliability by automatically switching to a standby system to minimize downtime and maintain service continuity.
Reliability Engineering is a discipline focused on ensuring that systems and components perform their intended functions without failure over a specified period of time. It involves the application of engineering principles and statistical methods to design, test, and maintain systems to achieve high reliability and availability.
Redundant Array of Independent Disks (RAID) is a data storage virtualization technology that combines multiple physical disk drive components into one or more logical units to improve performance, increase storage capacity, and provide redundancy to protect data. Different RAID levels offer varying balances between performance, redundancy, and capacity, allowing users to choose the configuration that best suits their needs.
Mean Time Between Failures (MTBF) is a reliability metric that quantifies the average time elapsed between the failures of a system during normal operation. It is commonly used in industries to assess the reliability and predict the maintenance needs of equipment, helping to improve system design and operational efficiency.
Hot swapping refers to the ability to replace or add components to a system without shutting it down, ensuring continuous operation. This capability is crucial in environments where uptime is critical, such as data centers and network infrastructures.
Load balancing is a method used to distribute network or application traffic across multiple servers to ensure no single server becomes overwhelmed, thereby improving responsiveness and availability. It is critical for optimizing resource use, maximizing throughput, and minimizing response time in distributed computing environments.
High availability refers to a system's ability to remain operational and accessible for a high percentage of time, minimizing downtime and ensuring continuous service delivery. It is achieved through redundancy, failover mechanisms, and robust infrastructure design to handle unexpected failures or maintenance activities.
Backup systems are essential for ensuring data integrity and availability, protecting against data loss due to hardware failures, cyber attacks, or accidental deletions. Implementing a robust backup strategy involves regular data snapshots, secure storage solutions, and periodic testing to ensure data can be restored when needed.
System resilience refers to the ability of a system to withstand, adapt to, and recover from disruptions or challenges, ensuring continuous functionality and performance. It involves proactive planning, robust design, and dynamic response mechanisms to mitigate the impact of unexpected events and maintain operational integrity.
Technical malfunctions refer to failures or errors in the operation of technological systems, which can result from hardware defects, software bugs, or human error. Understanding and mitigating these malfunctions is crucial for maintaining system reliability and ensuring user safety.
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