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High availability clusters, also known as high availability clustering, are groups of connected machines that work together as a single system. When one machine in a cluster fails, cluster managing software transfers their workloads onto another machine.
High availability (HA) is the ability of a system to operate continuously for a designated period of time even if components within the system fail. A highly available system meets an agreed-upon operational performance level by eliminating single points of failure.
Learn what high availability means for IT systems, components, and applications, and how to achieve it with clusters, software, and redundancy. Explore the differences between high availability, disaster recovery, and fault tolerance.
Mar 21, 2024 · This article explores essential design patterns for achieving high availability in software systems. From redundancy strategies to load-balancing techniques, we delve into the architectural principles that help make resilient and fault-tolerant applications.
Aug 18, 2022 · Learn what high availability (HA) is, how it works, and why it is important for mission-critical systems. Find out how to measure HA and what best practices to adopt to avoid service disruptions.
Jul 23, 2019 · Learn the basics of high availability computing, such as node, cluster, failover, replication, redundancy, and more. Explore the advantages and disadvantages of active/passive and active/active cluster designs, and the difference between shared-nothing and shared-disk clusters.
May 17, 2021 · Learn what high availability means in computing and how it can improve your infrastructure's reliability. Find out how to eliminate single points of failure, measure availability, and use load balancers and Reserved IPs for high availability.
