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Scale elastic applications up and down based on application latency. Never buy a server again, or deal with hardware maintenance. Always have additional capacity available when needed. If only it were that simple. The promises of cloud computing are compelling, but they're not so easily realized. How do you maintain control of performance when your applications are running on who-knows-what machines in a data center in the middle of nowhere? How do you make sure your applications adjust as servers are added and subtracted? How do you see and optimize business transactions in such a complex environment?

Prepare for a smooth migration

Calculate your cloud server requirements based on your present application’s resource needs, benchmark pre-migration performance, check the post-migration version and promptly find and address any performance issues. To ensure a successful migration to the cloud, you must first understand your complete environment and its dependencies.

See your business transactions in real time

Traditional server monitoring solutions are of little value in the cloud’s elastic infrastructure. It’s not enough to be familiar with infrastructure metrics. The platform gives you visibility into your business transactions — and all of the activities that follow — to get the most up-to-date, business-performance picture of your cloud environment.

Scale Up, Scale Down

Why are you in the cloud in the first place if not for scalability and elasticity? The platform equips you to scale with certainty, from performance baselines to application flow mapping to cloud auto-scaling and runbook automation. Get the visibility you need to succeed in the cloud, whether you’re using Amazon Web Services, Windows Azure, Pivotal CloudFoundry, or an OpenStack provider.

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