Many are predicting that one day everything will be on the Cloud. I'm not so sure I like the idea despite the assurances of security. I think we have a long way to go before this ever becomes a reality.
EnStratus seems to have all the right answers for the IT professional who is pondering are is already moving toward the cloud operating environment. One concern among many about the cloud operations is its reliability and this blog post covers just that. As any webmaster knows, reliability is a top priority in web applications. It would be nice to have 99.9999% reliability and this is what the platform from this company uses as a goal when it comes to offering reliability in cloud computing to companies that must also engage in securing their data into public and private access. Assuming a computing system has crashed, the first question that comes up is how fast can I recover my applications in the cloud? Even before the mishap occurs, a question that comes up is how should I set the rules for scaling my infrastructure up and down? These are complex questions that require a measure of in depth thought. One of the best solutions is to rely on those who have already experienced these dilemmas and who are in a position to provide solid advice. What happens if there is a failure in the cloud? Just another question that also needs an answer. One solution used by enStratus is to layer or clustering of applications with automation and native understanding of underlying cloud topologies. This is the nature of cloud computing. Auto scaling scales the underlying infrastructure is demand grows. It is a simple as setting the minimum and maximum number of servers and letting the appropriate control modules take over. With these technologies in place, then automated recovery is quick. This is where reliability comes in. And of course there needs to be automated backups. All you need to do is to structure the backup frequency for your application. Another method of insuring reliability is through smart cloud topology which spreads the risk across cloud providers. It also minimizes latency. This article is a good guide on analyzing reliability in cloud computing.
apptraffickerApr 4, 2010
Many are predicting that one day everything will be on the Cloud. I'm not so sure I like the idea despite the assurances of security. I think we have a long way to go before this ever becomes a reality.
salsantos222Apr 13, 2010
EnStratus seems to have all the right answers for the IT professional who is pondering are is already moving toward the cloud operating environment. One concern among many about the cloud operations is its reliability and this blog post covers just that. As any webmaster knows, reliability is a top priority in web applications. It would be nice to have 99.9999% reliability and this is what the platform from this company uses as a goal when it comes to offering reliability in cloud computing to companies that must also engage in securing their data into public and private access. Assuming a computing system has crashed, the first question that comes up is how fast can I recover my applications in the cloud? Even before the mishap occurs, a question that comes up is how should I set the rules for scaling my infrastructure up and down? These are complex questions that require a measure of in depth thought. One of the best solutions is to rely on those who have already experienced these dilemmas and who are in a position to provide solid advice. What happens if there is a failure in the cloud? Just another question that also needs an answer. One solution used by enStratus is to layer or clustering of applications with automation and native understanding of underlying cloud topologies. This is the nature of cloud computing. Auto scaling scales the underlying infrastructure is demand grows. It is a simple as setting the minimum and maximum number of servers and letting the appropriate control modules take over. With these technologies in place, then automated recovery is quick. This is where reliability comes in. And of course there needs to be automated backups. All you need to do is to structure the backup frequency for your application. Another method of insuring reliability is through smart cloud topology which spreads the risk across cloud providers. It also minimizes latency. This article is a good guide on analyzing reliability in cloud computing.