5 ways to optimize public cloud applications

By Nari Kannan, CIO |  Cloud Computing, public cloud

You don't need to store all database rows in all database instances. If you can partition your database rows and store them in database shards in different instances, you can take advantage of the locality of usage patterns. This will reduce the number of server instances you need and, hence, the cost of your public cloud service.

When you move your application to the public cloud, it may work very well as it is, without any changes. However, if you pay attention to how your CSP charges you and put it in the context of your application's pattern of compute, memory, storage and network bandwidth usage, you can easily reduce your public cloud charges. Optimizing the application itself with some re-factoring may improve its performance and lengthen its life, while experimenting with and fine-tuning your own default instances and auto scaling rules may help you further lower CSP costs.

Nari Kannan is CEO of appsparq, a Louisville, Kentucky-based cloud and mobile applications consulting company. He has more than 20 years of IT experience, starting as a senior software engineer at Digital and subsequently serving as vice president of engineering or CTO of six Silicon Valley startups. Connect with Kannan via email.

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Originally published on CIO |  Click here to read the original story.
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