In a world of hybrid cloud systems you must migrate and optimize
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Metrics that matter are always topics of interest because they change over time in the hybrid cloud delivery model. Today's hybrid cloud delivery model is driven by metrics surrounding customer satisfaction and the technical details of a delivery system.
Customer satisfaction is critical. If users are unhappy with the hybrid cloud delivery model of a service -- whether SaaS or virtualization -- their dissatisfaction can harm your business. Gathering metrics of customer satisfaction is key, and monitoring the "pulse" of users is vital to any hybrid cloud delivery model, but understanding technical metrics can help remedy any challenges.
Transactions per second have been measured since the days of mainframes, but are increasingly important in the age of hybrid delivery. Transactions are no longer between a front-end and database tier and can now involve 10 or 20 different component applications working together in a microservices environment, responding back to the user for a given inquiry. The number of transactions or the latency of the transactions can be a critical question for a system and its end users. Component applications themselves can also be a source of challenge or user dissatisfaction, and therefore metrics for their performance must always be considered.
Only by understanding human and technical metrics will hybrid delivery of cloud services succeed. Challenges can arise quickly, and possessing the data to understand the problem and judge its effect on the end user are the only way to ensure consistency and quality of service in your delivery operations.
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