Microsoft's IIS web server is at the heart of IT infrastructures in various domains - Healthcare, Banking, Trading, Logistics, etc. To ensure scalability and high performance, most web sites are being architected to use the multi-tier model - i.e., with the IIS web server functioning as the front-end, the middleware application server (J2EE, .Net based, etc.) that hosts the business logic functioning as the mid-tier, and a database server (SQL, Oracle, etc.) as the backend. In such architectures, the IIS web server plays a pivotal role since all users to the other tiers are routed via the web server and hence, any slowdown or problem in the web server tier can adversely impact the end user experience and hence the need for IIS Monitoring.
The availability of a web site and the response time for user accesses to the site are the most critical metrics of web performance. Both these metrics may vary from one website to another and even from one transaction to another. For instance, one set of application components may come into play when a user logs in to an eBanking site, while a set of components may be invoked when a user transfers funds between his/her accounts. Consequently, an IIS performance monitoring solution must be able to report the availability and response time for individual user transactions to a web site.
Most web monitoring solutions rely on request emulation to monitor web transactions to a site. These request emulators generate synthetic requests periodically from one or more locations to the site and monitor the availability and response time for each web transaction. This simple yet elegant solution provides the external perspective of the site. The main limitations of a request emulation-only approach are:
eG Enterprise adopts a unique two-pronged approach for web transaction monitoring. The external agent uses request emulation to assess the user experience from different locations. By doing so, the external agent captures the effect of the network latency and the server-side processing time on the end user experience.
To quantify the server processing times for real user requests (not emulated requests), the eG agent deploys a proprietary web adapter technology. This technology enhances IIS web servers with the capability to track HTTP/HTTPS requests to a web server and the corresponding responses. For each transaction that is configured for monitoring, the web adapter analyzes the request URLs and responses to report various metrics relating to individual web transactions in real-time.
The monitoring is done in an implementation-independent manner, as a result of which eG agents are able to monitor Java (Servlets, EJB, JSPs) and other non-Java implementations (ASP, PHP, CGI, etc.) with equal ease. Since it is able to monitor real-user transactions to web servers in real-time, eG Enterprise's web adapter technology enables the agents to proactively monitor and quantify all anomalies that may occur in a web infrastructure. The ability to offer real-time monitoring of 100% of the real user transactions, without the need for explicit, expensive logging is a key distinguishing feature of eG Enterprise's IIS server monitoring capability. eG Enterprise also offers integrated monitoring of heterogeneous web servers including Apache, SunONE, IBM HTTP and Oracle web servers as well.
|Monitoring capability||Monitoring details|
|Internal transaction monitoring||
|IIS Web site monitoring||
“With eG Innovations, we are reducing system maintenance and support costs, avoiding incremental IT spending and eliminating system downtime across the hospital. Performance and prediction reports help us optimize IT spending and save $100,000 per year. ”
“eG Innovations delivers a robust, reliable and extremely valuable solution to deliver maximum uptime and user satisfaction. Pre-emptive alerting helps us to address performance issues immediately before they affect system and application availability. ”
“With eG Enterprise, we can now quickly identify root causes of incidents, resolving them before users are impacted. Automatic prioritization and categorization of alerts helps us better focus on the important issues and prioritize our resources accordingly.”