End-user satisfaction and productivity are the ultimate measures of application performance. By monitoring the end-user experience continuously, IT managers will be alerted when users experience poor performance, slowdowns or outages.
Many modern applications have built-in instrumentation to track and report key performance metrics. This passive monitoring approach is not effective when users are not actively using the applications, or when instrumentation is not available (for example, legacy applications and custom applications). Therefore, a synthetic monitoring approach is required to actively and continuously test business transactions and preemptively identify performance problems.
Synthetic monitoring complements eG Enterprise’s real user monitoring capabilities to achieve complete end-user experience management and performance assurance. Administrators can create synthetic transactions and monitor the performance of simulated transactions from various locations and endpoints.
eG Enterprise emulates a real user accessing an application, records and plays back the scenario 24x7.
A typical example of synthetic monitoring is the emulation of a business transaction where a user logs into SAP application, accesses records, updates information, and finally logs out of the session.
Synthetic transaction monitoring with eG Enterprise enables you to test a new feature/function of your application before deployment. So, well before real end-users experience the new functionality, you can simulate scenarios and synthetically test their performance.
eG Enterprise synthetic transaction monitoring helps answer critical performance questions, such as:
eG Enterprise's synthetic monitoring capabilities enable purpose-built, proactive performance management for Citrix and VDI deployments:
“eG Innovations has helped us get better control of our IT environment, leading to a greater and steadier performance of our valuable IT assets. The solution helps us proactively monitor our environment and be able to quickly determine problem areas, allowing us to prevent end-user complaints for our customers. ”