MySQL High Availability: Tools for Building Robust Data Centers

MySQL High Availability: Tools for Building Robust Data Centers By Charles Bell, Mats Kindahl, Lars Thalmann
Publisher: O'Reilly Media 2010 | 624 Pages | ISBN: 0596807309 | File type: PDF | 10 mb

Server bottlenecks and failures are a fact of life in any database deployment, but they don't have to bring everything to a halt. MySQL has several features that can help you protect your system from outages, whether it's running on hardware, virtual machines, or in the cloud. MySQL High Availability explains how to use these replication, cluster, and monitoring features in a wide range of real-life situations.
Written by engineers who designed many of the tools covered inside, this book reveals undocumented or hard-to-find aspects of MySQL reliability and high availability knowledge that’s essential for any organization using this database system.
Explore the binary log, a file for replication that helps in disaster recovery and troubleshooting
Get techniques for improving response time and handling large data sets
Monitor database activity and performance, as well as major operating system parameters
Keep track of what masters and slaves are doing, and deal with failures and restarts, corruption, and other incidents
Automate key tasks with code from an open source library written by the authors
Learn techniques for using MySQL in virtualized environments, such as Amazon Web Services
Use MySQL Cluster to achieve high availability
"MySQL replication is widely deployed but has never been adequately explained. This book changes that." Mark Callaghan, MySQL contributor and leader of MySQL engineering efforts at a few of the world's largest Internet companies

[Fast Download] MySQL High Availability: Tools for Building Robust Data Centers

Related eBooks:
Dynamics 365 CE Essentials: Administering and Configuring Solutions
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI Solution
The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications
Implementing Splunk 7, Third Edition
Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark (Ear
Pro Oracle Database 11g RAC on Linux
Big Data Analytics Made Easy
Addison Wesley Practical Business Intelligence with SQL Server 2005 Aug 2006
A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2)
Hadoop MapReduce v2 Cookbook Second Edition
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.