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Nine Cloudy Challenges for Databases

  • Nine Cloudy Challenges for Databases-
    The cloud is all about flexibility in resources – allowing you to add/remove resources to match your needs, with no need for over-provisioning or over-paying to prepare for any future peaks. Elasticity isn’t just about increasing resources when you need to – by scaling up or out – but also shrinking those back down when your database is underutilized, to save on costs. Elasticity needs to be supported to accommodate very granular increases in resources - so that to gain +0.X more power doesn’t mean you need to commit any pay for a much larger (+XXX) machine.

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Nine Cloudy Challenges for Databases

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
  • Nine Cloudy Challenges for Databases-6
    The cloud is all about flexibility in resources – allowing you to add/remove resources to match your needs, with no need for over-provisioning or over-paying to prepare for any future peaks. Elasticity isn’t just about increasing resources when you need to – by scaling up or out – but also shrinking those back down when your database is underutilized, to save on costs. Elasticity needs to be supported to accommodate very granular increases in resources - so that to gain +0.X more power doesn’t mean you need to commit any pay for a much larger (+XXX) machine.

The cloud has turned traditional data management on its head and there’s no doubt we've seen a renaissance of the database – particularly good-old SQL databases - because of it. When it comes to the cloud, people think they will be able to command endless resources while still being able to deploy, run and consume a distributed data solution anywhere, anytime. In this slideshow, Razi Sharir, CEO of Xeround, dives into the challenges that come along once your database is in the cloud.