high_scalability high_scalability-2009 high_scalability-2009-748 knowledge-graph by maker-knowledge-mining
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Introduction: One of the core assumption behind many of today’s databases is that disks are reliable. In other words, your data is “safe” if it is stored on a disk, and indeed most database solutions rely heavily on that assumption. Is it a valid assumption? Read the full story here
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Introduction: Many enterprises' high-availability architecture is based on the assumption that you can prevent failure from happening by putting all your critical data in a centralized database, back it up with expensive storage, and replicate it somehow between the sites. As I argued in one of my previous posts ( Why Existing Databases (RAC) are So Breakable! ) many of those assumptions are broken at their core, as storage is doomed to failure just like any other device, expensive hardware doesn’t make things any better and database replication is often not enough. One of the main lessons that we can take from the likes of Amazon and Google is that the right way to ensure continuous high availability is by designing our system to cope with failure. We need to assume that what we tend to think of as unthinkable will probably happen, as that’s the nature of failure. So rather than trying to prevent failures, we need to build a system that will tolerate them. As we can learn from a recent outage
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