Impact of failure prediction on server monitoring

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Reference no: EM132282072

Server Availability Monitoring and Metrics.

Purpose of the assessment (with ULO Mapping) The purpose of the assignment is to compare free (open source) server monitoring tools based on the basic metrics of checking availability.

Students will be able to complete the following ULOs:
1. Analyse and compare various server management systems
2. Compare emerging tools and techniques for system management

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" [1]. 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.

Verified Expert

The work is in 1800 words where the focus is on handling your work in order for you the best work is to be for the network and monitoring of server. It includes the details about including a booking and a company to handle monitoring of network infrastructure

Reference no: EM132282072

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Impact of failure prediction on server monitoring : MN506 - System Management - Melbourne Institute of Technology - Server Availability Monitoring and Metrics - Discuss and evaluate in detail the server
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Reviews

len2282072

4/13/2019 2:37:10 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.

len2282072

4/13/2019 2:37:04 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

len2282072

4/13/2019 2:37:00 AM

Outline of the report ( in 3-4 sentences) 4 Report layout, style and language 5 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

len2282072

4/13/2019 2:36:38 AM

Submission Guidelines • All work must be submitted on Moodle by the due date along with a completed Assignment Cover Page. • The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font and 2 cm margins on all four sides of your page with appropriate section headings. • Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using IEEE referencing style.

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