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Failover Clustering

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May 1, 2024 3 minute read

Failover Clustering is a technology that enables two or more computers to work together as a single system. The main purpose of failover clustering is to provide high availability and redundancy for critical applications and services. In a failover cluster, one computer is designated as the active node, and the other computers are designated as standby nodes. The active node is responsible for running the applications and services. If the active node fails, one of the standby nodes will automatically take over and become the new active node. This process is transparent to the users and ensures that the applications and services are always available.

Benefits of Failover Clustering

There are many benefits to using failover clustering, including:

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Reading list

We've selected 21 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Failover Clustering.
Focuses on implementing high availability clustering in Linux environments. It explains essential components like Pacemaker and Corosync, and provides guidance on configuring and managing clusters for mission-critical resources on Linux platforms. It valuable resource for those working with or interested in Linux-based failover clustering solutions.
Provides a comprehensive overview of VMware vSphere clustering, covering both the principles and practical aspects of implementing and managing vSphere clusters. It covers a wide range of topics, including cluster architecture, failover mechanisms, performance tuning, and troubleshooting.
Is dedicated to the planning, implementation, and administration of clustered SQL Server 2008. Authored by a recognized expert in SQL Server High Availability, it details considerations and potential pitfalls encountered when deploying clustered SQL Server. While specific to SQL Server 2008, the core concepts of SQL Server clustering remain relevant for understanding database high availability via clustering.
Provides information on building Linux clusters from the ground up, covering best practices and guidelines for administrators of any experience level. It includes details on high availability clusters, load balancing, and disaster recovery, offering a comprehensive guide for Linux users.
This in-depth guide to Windows Server 2019 includes a chapter dedicated to clustering and high availability, specifically covering failover clustering and Network Load Balancing. It provides detailed information on configuring and managing these features within the Windows Server 2019 environment.
While not solely focused on failover clustering, this book provides essential techniques for building highly available applications. It covers risk management, services and microservices, and scaling applications, which are all crucial considerations when designing and implementing failover clustering solutions. is valuable for understanding the broader context of high availability.
This training guide for Windows Server 2012 services includes managing failover clustering and Network Load Balancing. It offers hands-on training and focuses on job-role-specific expertise for deploying and managing advanced infrastructure services, providing practical knowledge for implementing failover clustering.
Specifically covers implementing high availability features in Windows Server 2016, which would include failover clustering. It practical guide for a specific version of Windows Server relevant to the course topics, offering hands-on knowledge for that environment.
Includes a section on running the failover cluster manager in Windows Server 2019. While a broader guide to Windows Server, it provides practical steps and context for implementing and managing failover clustering within that operating system. It useful reference for those working with Windows Server 2019.
Comprehensive guide to the design and implementation of high availability and disaster recovery solutions for SQL Server 2019. It covers a wide range of topics, including failover clustering, database mirroring, and replication.
Introduces the basics of Linux cluster installation and configuration. It focuses on the practical aspects of building a Linux cluster and hands-on guide for those new to clustering in a Linux environment. It provides a good starting point for understanding Linux-based clustering concepts relevant to failover.
Comprehensive guide to the design and implementation of high availability solutions for Oracle Database. It covers a wide range of topics, including failover clustering, database mirroring, and replication.
Provides a deep dive into the technical details of failover clustering. It covers advanced topics such as cluster internals, failover mechanisms, and performance tuning.
Offers an overview of cluster analysis, focusing on various algorithms and methods. Similar to 'Algorithms for Clustering Data,' it provides theoretical background on clustering techniques. While not specific to failover clustering, it can be helpful for understanding the underlying principles of grouping and partitioning used in cluster technologies.
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