NF Virtualization Monitoring – per device

Overview

NFV monitoring in Trace9® involves monitoring the virtualized network functions in the same way as physical network functions, but with additional focus on the virtualization layer. This includes monitoring the resource usage of the virtualized infrastructure, such as CPU, memory, storage, and network I/O. It also involves monitoring the performance of the virtualized network functions themselves, such as network throughput, packet loss, and latency.

To monitor NFV in Trace9®, the monitoring solution needs to be able to access the virtualized network functions and the underlying infrastructure. This can be achieved through APIs provided by the virtualization platform, such as OpenStack’s Ceilometer API, or by deploying agents within the virtual machines that run the virtualized network functions.

Features

Here are some of the key features of Trace9® NFV monitoring in infrastructure monitoring solutions:

Virtual Function Monitoring

Trace9® NFV monitoring provides real-time monitoring of virtual network functions (VNFs), such as firewalls, routers, and load balancers. It enables IT teams to detect and troubleshoot issues quickly and efficiently, ensuring the availability and performance of VNFs.

Resource Monitoring

Trace9® NFV monitoring monitors the resources that VNFs use, such as CPU, memory, and storage. This helps IT teams to identify performance bottlenecks and allocate resources appropriately to optimize VNF performance.

Performance Monitoring

Trace9® NFV monitoring provides detailed performance metrics for VNFs, such as latency, packet loss, and throughput. These metrics help IT teams to ensure that VNFs are meeting service level agreements (SLAs) and are delivering the expected levels of performance.

Traffic Analysis

Trace9® NFV monitoring provides detailed traffic analysis for VNFs, including protocol and application-level analysis. This enables IT teams to identify security threats, performance issues, and other anomalies that can affect VNF performance and availability.

Fault Management

Trace9® NFV monitoring provides automated fault management capabilities, including fault detection, isolation, and remediation. This ensures that IT teams can quickly identify and fix issues before they affect VNF performance and availability.

Benefits

The benefits of NFV monitoring within Trace9® monitoring solution includes the ability to correlate performance issues between virtualized and physical network functions, as well as the ability to identify issues that may be specific to the virtualization layer. It also enables network administrators to monitor the performance of virtualized network functions in the context of the broader network infrastructure, providing a more complete picture of network performance.

Monitoring of virtual machines

Trace9® solution monitors the performance of virtual machines running NFV applications.

Real-time monitoring

Trace9® solution provides real-time monitoring of network resources and virtualized network functions.

Customizable dashboards

Trace9® solution provides customizable dashboards that enable users to monitor specific aspects of their NFV infrastructure.

Automated alerts

Trace9® solution sends automated alerts via email, SMS, or other notification channels when a threshold is exceeded.

Historical data analysis

Trace9® solution can store historical data, enabling users to analyze trends and make informed decisions about their NFV infrastructure.

Flexible notifications

Trace9® solution offers flexible notification settings, allowing users to choose when and how they receive alerts.

Graphical representation of data

Trace9® solution presents data in a graphical format, making it easy for users to interpret and analyze.

Centralized management

Trace9® solution enables centralized management of multiple NFV infrastructure deployments from a single console.

Technology Supported Protocols And Devices

1. Technologies

Virtualization platforms

Trace9® NFV monitoring often requires access to the virtualization platform that hosts the virtualized network functions. This can include platforms such as OpenStack, VMware, and KVM.

Container platforms

With the growing popularity of containerization, Trace9® NFV monitoring also need to support container platforms such as Kubernetes and Docker.

2. Protocols

OpenStack Ceilometer

Ceilometer is a telemetry service in OpenStack that collects and stores data on the usage of virtual resources in an OpenStack deployment, including virtualized network functions.

NETCONF/YANG

It is used to configure and monitor network devices, including virtualized network functions.

SNMP

Simple Network Management Protocol (SNMP) is a widely used protocol for monitoring and managing network devices, including both physical and virtualized network functions.

3. Devices

Virtual machines

Virtualized network functions are often deployed on virtual machines, so monitoring solutions need to be able to access and monitor these machines.

Virtual switches

These switches are used to connect virtual machines and virtualized network functions within the virtualized infrastructure and can be monitored for performance and connectivity issues.

Virtual routers and firewalls

These virtualized network functions are critical components of the virtualized network infrastructure and need to be monitored for performance and security issues.

Module Dependency

Trace9® NFV (Network Function Virtualization) monitoring depends on several factors, including the virtualization platform being used, the network function s being monitored, and the monitoring solution being deployed.

Virtualization platform dependency

Trace9® NFV monitoring requires access to the virtualization platform APIs to collect performance metrics from virtualized network functions. Different virtualization platforms may have different APIs and data formats, which can impact the ability of monitoring solutions to collect and analyze data from virtualized network functions.

Network function dependency

AThe performance metrics that need to be collected and analyzed will vary depending on the specific virtualized network functions being monitored. For example, monitoring a virtual firewall may require different metrics than monitoring a virtual load balancer.

Performance

Scalable Trace9® OS monitoring module is capable of handling the increased performance demands placed on them as the number of systems being monitored grows. This can include the ability to handle increased network traffic, handle large amounts of data, and process and analyze data in real-time.

Monitoring solution dependency

Trace9® NFV monitoring has different requirements and capabilities, such as the ability to collect data in real-time or the ability to correlate data from virtualized and physical network functions.

Scalability

Scalability is an important consideration in Trace9® NFV (Network Function Virtualization) monitoring, as the number of virtualized network functions in a deployment can grow rapidly and require additional resources to monitor effectively.

Distributed monitoring architecture

Trace9® has distributed monitoring architecture, where multiple monitoring nodes are deployed across the virtualized infrastructure. This allows the monitoring solution to scale horizontally, with additional nodes added as needed to handle additional virtualized network functions.

Data aggregation

Rather than collecting data from every individual virtualized network function, Trace9® monitoring solutions can aggregate data from multiple functions into a single data stream. This can reduce the amount of data that needs to be processed and stored, while still providing a comprehensive view of overall performance.

Granularity control

Another approach is to provide granular control over the level of monitoring detail for each virtualized network function. Trace9® NFV monitoring allows network administrators to adjust the level of monitoring based on the importance and criticality of each function, reducing the overall resource requirements of the monitoring solution.

Cloud-based monitoring

Trace9® NFV monitoring leveraging cloud resources to handle large amounts of data and processing power. This can also provide flexibility in scaling up or down as the number of virtualized network functions changes over time.

Automation

Automation can help to reduce the burden on network administrators by automating common monitoring tasks such as data collection, analysis, and alerting. This can also help to ensure consistency in monitoring practices across large deployments.

Trace9® editions difference table

This edition difference table Provides a comparison between different editions of Trace9® Monitoring Solution. It outlines the features, content, or specifications that distinguish one edition from another. The edition table helps customers make informed decisions about which edition best suits their needs or preferences.

Trace9® Modules	Trace9® Standard	Trace9® Professional	Trace9® Advanced	Service Provider
Legend	x = Supported - NS= Not Supported "Version upgrade will require"
Trace9® Satellite Node
Network Performance Monitor (NPM)
NPM IOT Monitor
Desktop & Application Monitor
Server & Application Monitor
Virtualization Monitor
Database Monitor
Cloud Monitoring
HCI Monitor	NS
Advanced Virtualization Monitor	NS
Log Management	NS
Software License Monitoring	NS
ITSM Integration	NS
Network xFlow	NS
NF Virtualization Monitor	NS	NS
SD-WAN Performance Monitor	NS
Trace9® Special Integration Packs-Telco	NS	NS	NS	NS