Public cloud reliability rankings revealed
Cloud computing is on the rise. With more and more of us relying on cloud services for business and personal use, cloud computing solutions are having to adapt to increased levels of use. 2014 saw cloud become more popular, and make lots of changes to its functions, but just how well are the public cloud solutions coping? A survey conducted throughout the year by cloud computing website tracker Cloud Harmony tested the performance of a number of public cloud solutions, arriving at total downtimes, outage incidents and uptime percentages for all those tested.
The survey tested the reliability, performance and consistency of over 30 different public cloud computing options, and came to some interesting conclusions. Out of the 30 different solutions tested, which ranged from major corporations like Google and Amazon to smaller cloud operations like Akamia and Zettagrid, the top two might not surprise you. You’ve probably guessed it already, but Amazon Web Services and Google Cloud Platform topped the list, boasting consistently impressive performance levels and very few major outages. In fact, in the period tested by Cloud Harmony, Amazon Elastic Computer Cloud, which powers its Web Services, recorded only 20 different outages, totalling a little over two and a half hours of overall downtime throughout the year. This means that for the whole of 2014, Amazon Web Services boasted an uptime percentage of 99.074% – rather impressive. Google Cloud Platform’s statistics are even more impressive though. During 2014, users of Google’s public cloud only experienced 14 minutes of outages, giving it an uptime percentage of 99.9996%.
CEO of Cloud Harmony, Jason Reed, said of the survey: “The more established players are fine-tuning their systems and becoming quite stable”. He commented on the performance of AWS, which he said, “has been providing cloud services longer than anyone in the market” and is used by Google to run its cloud services. He praised their “long track record of managing a reliable distributed system”.
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