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.

High Availability

High availability

system's ability

Operational accessibility

percentage of time

minimizing downtime

continuous service delivery

Redundancy refers to the inclusion of extra components or information that are not strictly necessary, often to ensure reliability and fault tolerance. It is a crucial concept in various fields, from engineering and computing to linguistics and organizational design, where it helps prevent system failures and enhances communication clarity.

redundancy

Failover mechanisms are critical components in system design that ensure continuous service availability by automatically switching to a standby system or redundant component upon the failure of the primary system. They are essential in minimizing downtime and maintaining data integrity in high-availability environments.

failover mechanisms

robust infrastructure design

unexpected failures

maintenance activities

Understanding High Availability and Performance in Microservices

Exploring High Availability in Distributed Systems

Achieving High Availability in Applications: Techniques and Considerations

Cluster of Computers in Hadoop

Hadoop Distributed File System

Scalable Architecture and Microservices

Efficient Distributed Systems in Large-Scale Development

Elastic Load Balancing

Introduction to Service Discovery

CUSTOMIZE YOUR LEARNING

CUSTOMIZE YOUR LEARNING

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