This shift toward a hybrid cloud model has caused enterprise IT infrastructures to grow in size and complexity, which presents its own challenges. It has made it extremely challenging, for example, to detect when and how network or application performance will degrade, impacting user experience. Organizations are, therefore, seeking ways of achieving pervasive visibility across their entire hybrid cloud infrastructure and applications that run on this infrastructure, that will enable them to continuously monitor for performance issues and anomalous network or application behavior.
Complete visibility into cloud infrastructure and application workloads, including linkages and dependencies between the applications, networks, servers Cloud VPS in US Oregon , and databases involved in the service delivery process, allows organizations to ensure efficiency and optimize their mean time to repair.
To achieve this holistic visibility requires the traffic and application data traversing the entire service delivery infrastructure to be continuously monitored, from end to end, and subsequently analyzed. In comparison with machine/log data, for example, which will only provide information on discrete events, it is possible, using the right technology, to leverage this “wire data” to create and maintain “smart data” for deep real-time and back-in-time insights. Prepared and organized at the point of collection, this smart data is ready and optimized for analytics at the highest speed and quality.
By extracting key metrics from smart data and displaying them, along with service inter-dependencies, in dashboards, alerts, and workflows, businesses will enjoy the visibility they need to cut through the complexity.
Ultimately, a smart data approach will allow organizations to implement top-down service assurance, based on a detailed picture of the entire hybrid cloud environment, the applications and services it supports, and their respective dependencies. This approach will enable them to truly understand applications and service availability, reliability and responsiveness, to troubleshoot any service issues in real-time, and conduct forensic analysis of historical data.
