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Service degradation refers to the deterioration in the quality of a service, often resulting in reduced customer satisfaction and potential loss of business. It can arise from factors such as overload, resource contention, or misconfigurations, and requires timely identification and resolution to maintain service reliability.
Quality of Service (QoS) refers to the performance level of a service, emphasizing the ability to provide predictable and reliable network performance by managing bandwidth, delay, jitter, and packet loss. It is crucial in ensuring optimal user experience, particularly in real-time applications like VoIP and streaming services.
Resource contention occurs when multiple processes or threads compete for limited resources, leading to performance degradation and potential system bottlenecks. Effective management and scheduling strategies are crucial to mitigate these issues, ensuring optimal resource utilization and system efficiency.
A Service Level Agreement (SLA) is a formalized contract between a service provider and a client that defines the level of service expected, including metrics, responsibilities, and expectations. It serves as a crucial tool for managing client expectations, ensuring accountability, and providing a clear framework for service delivery and performance evaluation.
Network congestion occurs when a network node or link is carrying more data than it can handle, leading to packet loss, delay, or blocking of new connections. Efficient congestion management is crucial to maintain optimal network performance and ensure data flows smoothly across the network infrastructure.
Performance monitoring is the systematic process of collecting, analyzing, and using information to track the efficiency and effectiveness of a system, process, or individual. It is essential for identifying areas of improvement, ensuring accountability, and driving continuous improvement within organizations.
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.
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.
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Scalability refers to the ability of a system, network, or process to handle a growing amount of work or its potential to accommodate growth. It is a critical factor in ensuring that systems can adapt to increased demands without compromising performance or efficiency.
A Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt the normal traffic of a targeted server, service, or network by overwhelming the target with a flood of Internet traffic. It achieves this by utilizing multiple compromised computer systems as sources of attack traffic, making it difficult to stop at the point of origin.
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