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Discuss the impact of failure prediction

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Reference no: EM132284002

Server Availability Monitoring and Metrics.

Assignment Description

Monitoring availability of servers and services is one of the core issues that companies face in their day to day operations. However, there are always some challenges such as at what metrics the availability of hardware, services and applications may be considered. Additionally, it is important to understand that what resources are being used by the servers and services while being up and running.

For further reading, could refer to the article "IT Infrastructure-Monitoring Tools". The article is available on the IEEE Explore, which could be easily accessed.

The assessment requires students to compare server availability monitoring tools Including (1) Nagios Core, (2) Ganglia, (3) CollectD, (4) Spiceworks, (5) Cacti, (6) Zabbix, (7) Icinga, (8) OpenNMS, and (9) WhatsUp Gold, in terms of the metrics given in the following. The students are required to submit a report, which includes:

1. Comparison of the above server availability monitoring tools to check their performance in terms of:

a) Disk usage
b) CPU monitoring
c) Process Monitoring
d) Bandwidth Monitoring
e) Resource Measuring
f) Overall availability

2. Discuss and evaluate in detail the server availability monitoring architecture.

3. Propose a solution to avoid data vulnerability in server availability monitoring tools.

4. Discuss the impact of failure prediction on server availability monitoring.

References

J. Hernantes, G. Gallardo and N. Serrano, "IT Infrastructure-Monitoring Tools" in IEEE Software, vol. 32, no. 04, pp. 88-93, 2015.doi: 10.1109/MS.2015.96

Verified Expert

The it management software provides monitoring solution for various business organization. In this assignment the researcher will going to analyse different types of tools used in the IT management system for checking the business performance, network, server and security of the organization including their relatives architecture.

Reference no: EM132284002

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Reviews

len2284002

4/15/2019 5:53:34 AM

Comparison /18 Finding is clearly linked and well justified Evaluation /7 Exceptional evaluation of server availability monitoring Identification and Analysis /6 Identified the security and privacy issues and provided excellent justification Propose /4 Exceptional proposal of avoiding data vulnerability Conclusion /3 Logic is clear and easy to follow with strong arguments Reference style /3 Clear styles with excellent source of references.

len2284002

4/15/2019 5:53:26 AM

Grade Mark HD 40 – 50 Excellent Introduction /4 All topics are pertinent and covered in depth. Ability to think critically and source material is demonstrated Report Layout /5 Exceptional report layout, style and language used

len2284002

4/15/2019 5:53:21 AM

Evaluation Discuss and evaluate in detail the server availability monitoring architecture. 7 Identification and Analysis Discuss in detail and draw Server availability monitoring architecture. 6 Propose Propose and evaluate a solution to avoid data vulnerability in server availability monitoring tools 4 Conclusion Write summary of the report 3 Reference style Follow IEEE reference style 3 Total 50

len2284002

4/15/2019 5:53:14 AM

Section to be included in the report Description of the section Marks Introduction Outline of the report ( in 3-4 sentences) 4 Report Layout Report layout, style and language 5 Comparison To compare server availability monitoring tools such as (1) Nagios Core, (2) Ganglia, (3) CollectD, (4) Spiceworks, (5) Cacti, (6) Zabbix, (7) Icinga, (8) OpenNMS, and (9) WhatsUp Gold, in terms of: a. Disk usage b. CPU monitoring c. Process Monitoring d. Bandwidth Monitoring e. Resource Measuring f. Overall availability 18

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