"Practical Construction of High-Performance Linux Servers: Operation and Maintenance Monitoring, Performance Tuning and Cluster Applications" is a book published by Machinery Industry Press in 2012. The author of the book is Gao Junfeng.
The whole book is divided into 5 parts. The Web application chapter introduces in detail the installation, configuration, management, usage, working principles and performance tuning techniques of Nginx, Varnish and Memcached, three very commonly used Web application software on Linux servers. The data backup and recovery chapter first describes the use and management skills of the open source backup software bacula, and explains the specific methods of performing various backup and recovery operations on bacula through examples; secondly, it explains the use of the open source data mirror backup tools rsync and unison. , and demonstrated the use of these two tools in a production environment through two enterprise-level cases; finally, it explained how to use the ext3grep tool to recover accidentally deleted data files and MySQL databases. The network storage application chapter first systematically explains the configuration and use of the network storage technology iSCSI, and then explains the use and maintenance of the distributed storage system MFS. The operation and maintenance monitoring and performance optimization chapter explains how to use Nagios for performance monitoring, as well as the performance analysis principles and optimization methods of Linux servers through a combination of theory and practice. The advanced application of clusters is a synthesis of the previous content and the core of this book. It mainly describes how to build a highly available load balancing cluster through LVS+heartbeat, piranha, and LVS+Keepalived. Secondly, it explains the configuration of Red Hat Cluster Suite RHCS. Management, maintenance and monitoring, and then explains the Oracle cluster solution, the construction, use and maintenance of the Oracle RAC database. Finally, the book ends with a practical case of building a MySQL+heartbeat+DRBD+LVS cluster system, which cleverly integrates all the core contents of the book.
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