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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Find a path to becoming a Failover Clustering. Learn more at:
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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.
From Microsoft provides an introduction to SQL Server high-availability solutions, including AlwaysOn Failover Cluster Instances. It explains how SQL Server utilizes Windows Server Failover Clustering (WSFC) and covers concepts like WSFC health monitoring and failover. This key resource for understanding SQL Server-specific 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.
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.
Offers a comprehensive guide to maximizing the availability of enterprise systems. It covers design techniques and processes related to high availability, including reliability, recoverability, serviceability, and manageability. While not exclusively about failover clustering, it provides foundational knowledge and best practices essential for designing resilient systems that utilize clustering.
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.
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.
Provides a deep dive into the technical details of failover clustering. It covers advanced topics such as cluster internals, failover mechanisms, and performance tuning.
Introduces readers to computer system faults and techniques for designing systems for maximum reliability and fault tolerance, with an emphasis on server clustering. While it focuses on HP solutions, it explains general high availability problems and solutions, providing a valuable understanding of the concepts behind failover clustering.
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.
Addresses business continuity and disaster recovery from an information security manager's perspective. It highlights the importance of high availability solutions like failover clustering in maintaining business operations during disruptive events. It provides a management-level view of the importance of these technologies.
Practical guide to implementing and managing Red Hat Enterprise Linux clusters. It covers all aspects of clustering, from planning and design to deployment and management.
Provides comprehensive coverage of data clustering, from basic methods to more complex approaches. While focused on data analysis, the fundamental concepts of clustering discussed are relevant to understanding how servers are grouped and managed in a failover cluster. It valuable reference for the underlying principles of clustering algorithms.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/l49d7h/failover
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