MySQL High Availability: Tools for Building Robust Data by Charles Bell, Mats Kindahl, Lars Thalmann

By Charles Bell, Mats Kindahl, Lars Thalmann

I even have this ebook in EPUB and PDF as retail (no conversion).

Server bottlenecks and screw ups are a truth of lifestyles in any database deployment, yet they don't need to carry every thing to a halt. MySQL has numerous positive aspects which could assist you defend your method from outages, no matter if it's operating on undefined, digital machines, or within the cloud. MySQL excessive Availability explains easy methods to use those replication, cluster, and tracking good points in a variety of real-life occasions.

Written by way of engineers who designed a number of the instruments coated within, this ebook finds undocumented or hard-to-find points of MySQL reliability and excessive availability -- wisdom that’s crucial for any association utilizing this database process.
* discover the binary log, a dossier for replication that is helping in catastrophe restoration and troubleshooting
* Get thoughts for bettering reaction time and dealing with huge facts units
* display screen database job and function, in addition to significant working method parameters
* hold tune of what masters and slaves are doing, and care for mess ups and restarts, corruption, and different incidents
* Automate key projects with code from an open resource library written through the authors
* research recommendations for utilizing MySQL in virtualized environments, corresponding to Amazon internet prone
* Use MySQL Cluster to accomplish excessive availability
"MySQL replication is largely deployed yet hasn't ever been accurately defined. This publication alterations that." -- Mark Callaghan, MySQL contributor and chief of MySQL engineering efforts at a number of the world's greatest net businesses

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If you had to pick a single area of concern in cloud computing, that area would undoubtedly be privacy and security. When your data travels over and rests on systems that are no longer under your control, you have increased risk due to the interception and malfeasance of others. You can’t count on a cloud provider maintaining your privacy in the face of government actions. In the United States, an example is the National Security Agency’s program that ran millions of phone calls from AT&T and Verizon through a data analyzer to extract the phone calls that matched its security criteria.

Com Web site is an example of an SaaS service. A client using an SaaS service might—as is the case for Quickbooks online—log into the service from his browser, create an account, and enter data into the system. com has a service agreement that not only covers the performance of the hardware and software, but extends to protecting the data that they store for clients, and other fundamental characteristics. com l SQL Azure These service model classifications start to get confusing rather quickly when you have a cloud service provider that starts out offering services in one area and then develops services that are classified as another type.

The illusion of scalability is bounded by the limitations cloud providers place on their clients. Resource limits are exposed at peak conditions of the utility itself. As we all know, power utilities suffer brownouts and outages when the temperature soars, and cloud computing providers are no different. You see these outages on peak computing days such as Black Monday, which is the Monday after Thanksgiving in the United States when Internet Christmas sales traditionally start. The illusion of low barrier to entry may be pierced by an inconsistent pricing scheme that makes scaling more expensive than it should be.

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