Please written by computer source 1. When testing with jMeter we primarily used the thread count to increase load on the system. What other factorscould we use to increase load? Is one factor more important than another? Why or why not?2. During the system testing with HammerDB we could evaluate multiple user running the same queries at the sametime. This would give us the transactions per minute. During the testing you may have noticed that the TPM didnot scale uniformly as you added more users. Why might this occur? Is the test run by HammerDB a realistic testof your application or of the database server capabilities? Explain your answer.3. Review the CPU graphs captured as screenshots for all your labs. In most of your labs you run the same jMetertest each lab. However, you may notice differences in the graphs during the testing time. If the tests are run withthe same test plan on the same systems why might you see differences? If you don't see any differences at all,why do you think there was no change?4. The jMeter test you ran over multiple labs is a standardized test. It is repeatable and with all variables being equalshould give the same results. Why might running a test like this periodically be of value? Could you use this as astandard monitor? Why or why not?5. During the alerting lab you configured basic alerts for CPU utilization at 1%. Why is this number too low? Considerthe load generated by your testing from jMeter. What utilization do the CPU graphs show? Let's assume this isnormal load for your system, what would you set the CPU alerting thresholds to and why?6. During class we spoke of the observer effect. During the course of your labs you should have seen the observereffect. What about the deployment of the lab systems for the SYP class may cause impact to a system becausethe monitoring deployed on a system?7. Review the alerts you generated from Site 24x7 and Nagios. The emails contain information about the systems,alert state, etc. The alerts from Nagios should have been significantly more detailed than Site 24x7. Do you thinkthe extra detail is necessary to be properly informed of issues? Why or why not? If you would make changes to thealerts what changes would you make and why?8. During the external monitoring lab, we deployed agents to some of our servers. Agents have a number of pros andcons for system monitoring. Describe a scenario when you would want to use an agent for monitoring anddescribe a scenario where you wouldn't use an agent for monitoring.9. During the application monitoring lab, we looked at templates for monitoring applications in your environment.There were a number of advantages to creating templates for monitoring. Describe a scenario where templatemonitoring provides little to no value. What might you do to make a monitoring template in an environment likethis?10. During the external monitoring lab, we created a point of reference from outside our network to evaluateperformance and outage data. When you looked at the CPU utilization during this lab you used the agent basedmonitoring. What value does external monitoring have? What systems should you always monitor externally? Whatdifferences in metrics and data might you expect on an external system vs. internal monitoring system?

“Since you have posted multiple questions, we will provide the solution only to the first Three…

1. When testing with jMeter we primarily used the thread count to increase load on the system. What other factors could we use to increase load? Is one factor more important than another? Why or why not? 2. During the system testing with Hammer DB we could evaluate multiple user running the same queries at the same time. This would give us the transactions per minute. During the testing you may have noticed that the TPM did not scale uniformly as you added more users. Why might this occur? Is the test run by HammerDB a realistic test of your application or of the database server capabilities? Explain your answer. 3. Review the CPU graphs captured as screenshots for all your labs. In most of your labs you run the same jMeter test each lab. However, you may notice differences in the graphs during the testing time. If the tests are run with the same test plan on the same systems why might you see differences? If you don't see any differences at all, why do you think there was no change?

1. When testing with jMeter we primarily used the thread count to increase load on the system. What other factors could we use to increase load? Is one factor more important than another? Why or why not? 2. During the system testing with Hammer DB we could evaluate multiple user running the same queries at the same time. This would give us the transactions per minute. During the testing you may have noticed that the TPM did not scale uniformly as you added more users. Why might this occur? Is the test run by HammerDB a realistic test of your application or of the database server capabilities? Explain your answer. 3. Review the CPU graphs captured as screenshots for all your labs. In most of your labs you run the same jMeter test each lab. However, you may notice differences in the graphs during the testing time. If the tests are run with the same test plan on the same systems why might you see differences? If you don't see any differences at all, why do you think there was no change?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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