|End User Experience Monitoring|
Until recently, enterprise IT organizations rated end user satisfaction using network availability as the primary indicator. This “one-size-fits-all” measurement model didn't allow them to answer questions like: why is the application or website so slow? Subjective as these types of questions may appear to be, from an end user or customer perspective, it’s cut-and-dried. Something is broken and needs to be fixed.
The introduction of virtualization, Web 2.0 multi-tiered applications, BYOD, video streaming and conferencing into enterprises has changed the dynamics of application and services delivery. Not only do most of these technologies require low latency for proper performance, but most of them introduce latency into the infrastructure, affecting the overall end user quality of experience (QoE).
Addressing the need for a high quality user experience, InfoVista performance management solutions solve QoE-related issues by identifying all the variables involved, including: users, geographic locations, class of service (CoS) policies, quality of service (QoS) measurements, applications, network utilization, traffic patterns and individual transaction chains.
A key to improving QoE is determining when optimal conditions occur through historical analysis, and then setting this as the goal baseline. In parallel, consult with line-of-business owners and other executives to establish key business metrics (e.g. productivity, profitability and delivery) that correlate to the required performance levels for each application and service to be delivered and document them in service level agreements.
InfoVista’s performance management solutions ensure that QoE goals are achieved by measuring end-to-end delivery effectiveness from the end user viewpoint.
Defining operational baselines along with setting of performance-based thresholds provides alerting to catch any impairments and allows preventative action to be taken to resolve the issue before the effect on QoE is felt by end users.
Determining where the problem originates in the network, the application or datacenter requires that multiple teams collaborate across these silos and are able to visualize the entire application or service on an individual user basis.
Investment in new applications or services are made to benefit the business and their success or failure depends on infrastructure preparation as well as insight into performance factors and constant measurement to identify and implement adjustments in the delivery chain or network required to ensure QoE goals are met.
Implementing end-to-end visualization of the interaction between end users and backend platforms in combination with application dependency mapping quickly identifies problems by immediately pinpointing where and why QoE is being affected.