The Moein monitoring platform is an IT infrastructure and service monitoring software that also provides network monitoring capabilities. This platform comprehensively monitors everything from lower layers, including network and security devices, to service and system layers. In this article, we will discuss the key metrics that Moein monitors and analyzes as a network monitoring software.
If you are not familiar with the importance of network monitoring and the necessity of using a network monitoring software, we recommend reading the article "What is Network Monitoring?"
A network monitoring software must be capable of monitoring network devices, security equipment, and network traffic. In the following sections, we will explore how Moein monitors these components.
In the realm of network devices, a network monitoring software must be able to track the health and performance of devices such as switches, routers, and SAN switches. The Moein platform examines metrics such as CPU usage, memory utilization percentage, flash memory usage, fan health, power supply health, and the temperature of routers and switches to ensure the overall health of network devices.
Moein also supports receiving and displaying Syslogs, as well as receiving, displaying, and defining events on Traps. Currently, Moein is compatible with brands such as Cisco, Huawei, Juniper, 3COM, D-Link, MikroTik, Dell, and ZTE.
To see the monitorable metrics of SAN switches, click on "SAN Switch Monitoring". Additionally, Moein uses the SNMP protocol to read these metrics. The image below shows a monitoring dashboard of a Cisco switch in the Moein platform. Furthermore, Moein enables network traffic monitoring on network devices, which will be covered in the following sections.
Currently, the Moein monitoring software supports monitoring Sophos XG Firewall, FortiWEB, FortiGate (Firewall), F5 Big-IP, and Cisco-ASA security devices. Each of these security devices has a variety of metrics that affect their health and performance. The research and development team at Behpaya IT Company has analyzed each of these devices, extracted their key metrics, and integrated them into the Moein platform for monitoring and analysis.
Below is a dashboard displaying the monitored metrics of F5 Big-IP in Moein. Additionally, Moein provides network traffic monitoring on security devices, which will be discussed in the next section.
To view the list of monitorable metrics for each device, click on its name in the text above.
One of the critical aspects of network monitoring is traffic monitoring and analysis for both network and security devices. A network monitoring software must be capable of collecting and analyzing data packets in transit across devices such as routers, switches, SAN switches, firewalls, and servers.
For an in-depth understanding of network traffic monitoring and its importance, we recommend reading the article "What is Network Traffic Monitoring?". This article covers monitoring network interfaces and analyzing traffic flows using the Moein platform.
Additionally, in the article "Network Performance Monitoring," we discuss key monitoring parameters such as availability metrics, network interface traffic, chassis health indicators, CPU and memory utilization, packet loss percentage, traffic flow analysis, trap collection, syslog collection, and the mapping capabilities of the Moein platform. This article serves as a complementary read, and we highly recommend it.
Moein is the first Iranian IT infrastructure and service monitoring software with an AFTA certification, ensuring comprehensive and integrated monitoring for organizations.
When different departments within an organization use separate monitoring tools, data fragmentation occurs, making it difficult to accurately and promptly diagnose the root causes of IT service disruptions. Using Moein for network monitoring, alongside monitoring other layers and components, helps system administrators avoid solely attributing disruptions to network and connectivity issues. Instead, they can monitor all applied technologies across systems and infrastructure, enabling them to pinpoint and resolve the root cause of issues more accurately and efficiently.