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Measures Summary.Pdf Measurements made by eG Agents Measurements made by eG Agents Type Details Measurements • System CPU and memory statistics such as CPU utilization, run queue length, Solaris 7.0 or higher, Red Hat blocked processes, swap memory in use, and available free memory; Linux 6.0, AIX 4.3.3 or 5.x or 6.1 or 7, HP-UX 11, Free BSD • Disk statistics including percentage utilization of partitions, read and write rates 5.4, Tru64 5.1, Windows Vista, on each physical disk, percentage busy, request queue length; Windows 2008, Windows 7, • Network traffic statistics including packet rate to and from the different network Windows 8, Windows 10, interfaces, bandwidth in and out of each of the interfaces (Windows only); Windows 2012, Windows • 2016,Windows 2019 TCP statistics such as incoming and outgoing connection rate, current connections, connection drop rate, etc.; • Monitoring of devices accessible via the server, which include the current status of a device and the number of errors encountered by the device; • Monitoring of storage areas on the server, including tracking the storage area size, used space, and percentage utilization, etc.; Operating systems that • System monitoring to determine the users currently logged in to the server and support the HOST Resources the total number of processes that are running; Tracking CPU usage on the MIB server; • Process monitoring including tracking whether a specific process is running or not and its memory utilization; • TCP connection monitoring including number of currently established connections, failed connections, retransmission rate for segments, etc.; • Current workload indicators such as the number of jobs executing on the server; Operating Systems Operating • Metrics revealing the message processing ability of the server, which include, the number of messages in queue; • Statistics that indicate the health of the storage subsystem, such as, the capacity of the auxiliary storage space and the percentage of space used, the amount of storage spaced used by temporary objects and permanent objects, etc.; • User activity related metrics, such as, the number of users who have currently signed on, the number of user jobs that were temporarily suspended, the number AS400 of disconnected jobs, etc.; • Measures indicating the count of jobs for each job type, the number of jobs that are currently active, the number threads utilized to perform the jobs that match specific monitoring pattern and CPU and memory utilization levels for performing the jobs that specific pattern; • Key statistics revealing the number of spool files that are in critical, warning and hold status; • Metrics revealing the number of messages that required reply from the system/user; © 2020 eG Innovations, Inc. All rights reserved 1 Measurements made by eG Agents • Monitoring of system memory available and usage, and utilization of memory by individual NLMs; • Tracking of the Netware file system accesses (read and write rates), as well as Novell Netware monitoring all the volumes on the server to determine percentage utilization of Systems the volume and the amount of freeable space on the volume; Operating Operating • Tracking the Netware system processor usage and interrupt rates; • Server availability and response time monitoring from an external location HTTP/HTTPS protocol emulation; • Web server statistics including internal measures of connection and request rates handled by the server, percentage of errored responses, percentage aborts, etc. for the entire server; Reporting of similar metrics for web sites hosted on the Apache, iPlanet/SunONE, server as well; Microsoft IIS, and Oracle • Monitoring server processing times for individual transactions using eG’s web HTTP web servers adapter capability- – offering metrics such as request and connection rate for individual web transactions, response time monitoring per transaction, percentage aborts for individual transactions; • Emulation of multi-step web service interactions using the eG client emulator to offer availability and response time statistics for each step of the service interaction; • Metrics revealing bottlenecks in connection requests, such as, the number of connections in queue, the number of connections dropped from the queue, the duration for which connections were enqueued, etc.; • Metrics indicating whether/not the DNS cache has been enabled, and if so, how is it been utilized; Web Servers • Metrics measuring the file cache usage, such as, the number of cache hits/misses, the number of cache content hits/misses, the number of entries in cache, the cache heap size, whether the file cache is enabled/disabled, etc.; • Metrics revealing quality of the HTTP service on each virtual server, such as, the rate of HTTP requests to the virtual server, the number of errors that were Sun Java Web Server 7 logged, the data received and transmitted by the virtual server, the number and type of responses, etc.; • Metrics revealing the health of the web server instance, such as, the duration for which the instance was running, the rate of requests to the web server instance, the number of errors logged by the instance, the average response time of all virtual servers in instance during the last 5 minutes, the data received/transmitted by the instance, etc.; • Metrics indicating the uptime and session activity on each web application on the web server, which include, the number of JSPs loaded/reloaded on to each application, the number of active sessions, number of rejected sessions, the average lifetime of expired sessions, etc.; © 2020 eG Innovations, Inc. All rights reserved 2 Measurements made by eG Agents • Metrics revealing how the JVM manages memory resources, such as, the heap memory size, the time taken for garbage collection, the number of times garbage collection occurred, the number of classes loaded/unloaded from JVM, etc.; • Metrics that indicate issues with keep-alive connections to the web server instance, such as, the number of successful requests from a keep-alive connection, the number of keep-alive connections that were flushed and refused, the number of keep-alive connection timeouts, etc.; • Metrics measuring thread pool usage, such as, the number of threads in pool, the number of requests queued, the number of idle threads in pool, etc.; • Metrics revealing bottlenecks in connection requests, such as, the number of connections in queue, the number of connections dropped from the queue, the duration for which connections were enqueued, etc.; • Metrics revealing the total number of connections, active connections, connections handled by the server etc.; Nginx Servers • Measures indicating the total number of requests handled, the number of request header reads, total number of write responses, total number of waiting connections, average number of requests handled etc; • Metrics reporting the availability of the server and the number of times that the server was restarted abnormally; • Key statistics revealing the number of requests processed by the server, the number requests that were waiting in the queue and the number of requests returned when the queue has reached its maximum size; Web Servers • WebToB Service-related statistics such as status of the service, the maximum number of requests handled by the service and the average response time for a request, are reported; • Measures revealing the number of connections established to the server from the clients, the number HTTP handlers configured, the number of client connections waiting for requests and ready to process the requests and the number of connections in the queue.; OHS Applications • Metrics revealing the number of times applications requests are handled/declined and time taken to handle to those requests; OHS Server • Oracle HTTP Server 12C Metrics revealing the number of active connections available in the server, number of requests, POST requests, GET requests and errors handled by the server; • Metrics indicating the time period that the server has been up and whether the server has been rebooted or not; • Metrics revealing the number of recent errors occurred in the server; © 2020 eG Innovations, Inc. All rights reserved 3 Measurements made by eG Agents OHS Service • Metrics indicating the percentage of requests that were successfully serviced by the web server during the last measurement period; • Metrics revealing the percentage of responses in the last measurement period with a status code in the range of 300-399, 400-499 and 500-600; Web Servers • Metrics revealing the number of HTTP requests handled by this Server and time taken to respond to HTTP requests; • Server usage in terms of request rate, percentage of threads utilized, data transfer iPlanet Application Server and reception rate; • Server performance as measured by average response time; • Server usage and performance measurements including throughput, percentage of heap space in use, number of requests queued; • JDBC connection pool usage in terms of percentage of connections used, and WebLogic Application server percentage of connections pending per pool; • Statistics pertaining to the EJB components such as transaction commit and rollback rates, timeouts during access to individual components, access queue rs lengths, etc. • Database measures including database access rate and average response time for database access; Cold Fusion Application server • Server workload measures such as request rate, data transmission and reception rate, queue length, request time out rate, and average response time; • Statistics
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