A tutorial on how to configure a Solaris-based system for use as a server in Network File Systems, database management, internet, intranet, and general purpose environments. Emphasizes applied computer architecture and input/output subsystems. Explains the configuration of increasingly complex systems, then provides technical information on a variety of topics related to configuration planning. No bibliography. Annotation c. by Book News, Inc., Portland, Or.

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No matter what application or SPARC architecture you're working with, Configuration and Capacity Planning for Solaris Servers can help you maximize the performance of your Solaris-based server. This is the most comprehensive guide to configuring and sizing Solaris servers for virtually any task, including:

World Wide Web, Internet E-mail, ftp, and Usenet news servers
NFS servers
Database management
Client/server computing
Timesharing
General purpose application servers
Internet firewalls

Sun Microsystems engineer Brian Wong reviews the load characteristics of each type of usage, in detail. He then demonstrates how each application interacts with Solaris server architecture to impact each aspect of system performance, including throughput, latency, utilization, and efficiency. Ten detailed case studies make it easy for system administrators to take advantage of the book's concepts and methodology.

Configuration and Capacity Planning for Solaris Servers focuses extensively on critical I/O issues, showing how to tailor usage, applications, software, and hardware to accommodate the realities of I/O. It presents detailed coverage of memory and virtual memory; SBus and VME configuration; disk access, SCSI and RAID subsystems; and file systems and backup issues. Wong also presents important considerations in configuring systems based on each major SPARC architecture.

Whether you're optimizing an existing Solaris system or planning a new one, Configurations and Capacity Planning for Solaris Servers gives you the practical advice and detailed technical information you need to deliver maximum performance at the lowest possible cost.

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