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Server Availability Monitoring and Metrics

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Added on  2023-02-01

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This research report compares and evaluates different server availability monitoring tools and their metrics. It discusses the importance of monitoring server availability and suggests using VPN and service auditing as solutions. The report also highlights the benefits of failure prediction and concludes with the recommendation of Nagios and Zabbix as the best tools for server monitoring.

Server Availability Monitoring and Metrics

   Added on 2023-02-01

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Surname 1
Server Availability Monitoring and Metrics
Student Name
Student Number
Professor’s Name
Institution
Location of Institution
Date
Table of Contents
1 Introduction..............................................................................................................................................3
2 Comparison..........................................................................................................................................of 3
2.1 Disk Usage.........................................................................................................................................3
2.2 CPU Monitoring.................................................................................................................................4
Server Availability Monitoring and Metrics_1
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2.3 Process Monitoring...........................................................................................................................5
2.4 Bandwidth Monitoring......................................................................................................................6
2.5 Resource Measuring..........................................................................................................................7
2.6 Overall Availability.............................................................................................................................8
3.1 Nagios................................................................................................................................................9
3.2 Zabbix..............................................................................................................................................10
4 Solution proposal....................................................................................................................................10
4.1 VPN and the Private Networking.....................................................................................................10
4.2 Service Auditing...............................................................................................................................10
5 Failure Prediction Impact........................................................................................................................11
6 Conclusion..............................................................................................................................................11
References.................................................................................................................................................12
Server Availability Monitoring and Metrics_2
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1 Introduction
Security is one of the factors to be considered in every organization. In all the operations, data
management is purely done in the server side and this calls for the management and the overall
monitoring of the working of the overall system [1]. Since most of the operations run on a full-time
basis, no one can be able to see all corners of the organization at an ago.
To evade from system server failure, there is a need to have some tools that guarantee proper
monitoring. In this research report, we are going to compare the performance and the utility of some of
the server availability monitoring tools including but not limited to; Nagios Core, Ganglia, CollectD,
Spiceworks, Cacti, Zabbix, Icinga, OpenNMS and WhatsUp Gold with respect to the metrics we will
consider in the next section.
2 Comparison
2.1 Disk Usage
Nagios Core Ganglia CollectD Spiceworks Cacti
This uses the disk
well in terms of
the size unlike
percentage, this
tool uses the
least space
possible
Uses each of the nodes
within the disk cluster
to either multicast the
state of the host or the
XML transmission over
the connection.
It uses RRD files to
store the metrics
systematically which
can be retrieved
periodically ate the
specified time.
Uses most of the
disk storage
while it can as
well be installed
on a virtual
machine for
other resource
performance.
Uses the RRD tools
for all its data
storage. Storage is
based on a compact
mode where no
extension is allowing
to expand over a
given time.
Zabbix Icinga OpenNMS WhatsUp Gold
XML based storage. It
uses this configuration
for optimum
Uses little storage
space, unlike other
Just like a website, it
uses a small storage
space. The Up and
Requires external disk
storage hence it can
exhaust the whole disk
Server Availability Monitoring and Metrics_3
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consumption of the
disk
management tools. Down devices allow for
a small disk space to be
used.
space
2.2 CPU Monitoring
Nagios Core Ganglia CollectD Spiceworks Cacti
It provides a
well-utilized CPU
utilization
Ganglia does not
guarantee CPU
speed in maximum
performance
Shares the
information
collected for the
performance in
the form of the
auxiliary
functions.
Allows addition of
the memory and
the CPU to the list
of the monitored
resources.
With the
intervals in the
resultant data,
the graph
series of time
allows proper
data traffic.
Zabbix Icinga OpenNMS WhatsUp Gold
Uses an agent to
monitor the host and
the related operations.
Monitors both the
remote and the local
resources.
Uses SNMP for
optimum monitoring
which needs to be
configured first before
being deployed.
Displays usage in a
form of graph and is
always on a minimal
scale.no much straining
in the usage.
2.3 Process Monitoring
Nagios Core Ganglia CollectD Spiceworks Cacti
Server Availability Monitoring and Metrics_4

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