wan monitoring

WAN Monitoring

 

 

WAN Monitoring

In today’s interconnected world, businesses heavily rely on their Wide Area Networks (WANs) to connect remote offices, facilitate communication, and enable seamless data transfer. However, maintaining the efficiency and reliability of a WAN can be a challenging task. This is where WAN monitoring comes into play, providing valuable insights into network performance and ensuring optimal operation.

WAN monitoring involves the continuous surveillance and analysis of network traffic, bandwidth utilization, latency, packet loss, and other relevant metrics. By monitoring these factors, businesses gain real-time visibility into their WAN infrastructure, allowing them to identify bottlenecks, troubleshoot issues, and optimize network resources.

 

Highlights: WAN Monitoring

  • A Secure Network Environment

Wide Area Network WAN monitoring is essential for maintaining a healthy and secure network environment. There are several WAN monitoring tools that you can use regularly to ensure that the WAN remains safe and efficient. In addition, WAN monitoring helps detect unauthorized access, problems with equipment and software, and potential security threats.

  • WAN Monitoring Tools

WAN monitoring tools can track performance metrics such as network latency, throughput, and packet loss. These metrics are essential for understanding how the network is being used and what can be done to improve performance. These WAN monitoring tools can detect malicious traffic, unauthorized access attempts, and potential hardware failures.

  • Application Performance

By examining performance parameters, SD-WAN can classify, select, and switch traffic paths across your WAN. Now, we have reactive rerouting and load balancing that will help improve network availability and performance. But to gain the benefits, one needs to consider operationalizing SD-WAN visibility and whether or not to incorporate WAN monitoring tools for performance monitoring. We must consider overlay (application visibility), underlay, and security visibility for SD-WAN monitoring. For readers new to SD-WAN monitoring, consider first reading the SD-WAN tutorial.

 

Related: For additional pre-information, you may find the following posts helpful:

  1. Network Visibility
  2. SD WAN Security 
  3. WAN Virtualization
  4. DMVPN

 



WAN Monitoring Tools

Key WAN Monitoring Discussion points:


  • Monitoring the SD WAN overlay and underlay.

  • Challenges to traditional WAN and the need for performance-based monitoring.

  • The need for SD WAN visibility.

  • How to perform SD WAN monitoring.

  • The challenges with encrypted traffic.

 

Back to basics with WAN Monitoring

WAN Monitoring

Main WAN Monitoring Components

WAN Monitoring 

  • Monitor the network's health and performance to ensure it runs at its best.

  • Identify potential problems before they become more significant problems.

  • Monitor the performance of routers, switches, firewalls, and other WAN components.

  • Generate reports on network performance.

Understanding WAN monitoring tools

A WAN monitoring tool is essential for businesses that rely on wide area networks. It allows network administrators to monitor their network’s health and performance to ensure it runs at its best. A WAN monitoring tool can detect problems such as slow performance, latency, packet loss, and other network issues. It can also provide data on network usage, bandwidth, traffic patterns, and more.

The WAN monitoring tool can be used to identify potential problems before they become more significant problems. It can also help prioritize maintenance tasks and determine if additional bandwidth is needed. It can also be used to identify potential security threats and identify any malicious activity.

The WAN monitoring tool can monitor the performance of routers, switches, firewalls, and other WAN components. In addition, it can also monitor the performance of applications and services running on the WAN. This helps ensure that the applications and services are performing optimally.

The WAN monitoring tool can be used to generate reports on network performance. This can help identify any areas that need improvement or optimization. It can also be used to create reports that can be used as part of a network audit.

Wide Area Network

WAN Monitoring

Benefits

  • Proactive Issue Identification

  • Performance Optimization

  • Capacity Planning

Wide Area Network

WAN Monitoring 

implementation

  • Choosing the Right Tools

  • Setting Key Performance Indicators

  • Automation and Analytics

Benefits of WAN Monitoring

a) Proactive Issue Identification: With WAN monitoring, businesses can proactively identify and address network issues before they impact critical operations. By tracking key performance indicators, IT teams can quickly detect anomalies, pinpoint their root causes, and take corrective actions to ensure uninterrupted connectivity.

b) Performance Optimization: WAN monitoring enables businesses to optimize their network resources by identifying underutilized or overburdened links. By balancing traffic and adjusting bandwidth allocation, organizations can enhance network performance, reduce latency, and improve overall user experience.

c) Capacity Planning: By analyzing historical data and trends, WAN monitoring helps businesses effectively plan for future capacity requirements. This allows organizations to allocate resources strategically, scale their network infrastructure, and accommodate growing bandwidth demands without compromising performance.

Implementing Effective WAN Monitoring Solutions

a) Choosing the Right Tools: To effectively monitor a WAN, businesses must invest in robust monitoring tools that provide comprehensive visibility and actionable insights. These tools should support real-time monitoring, alerting mechanisms, and detailed reporting capabilities.

b) Setting Key Performance Indicators: Establishing measurable metrics and goals is crucial for effective WAN monitoring. Businesses should define KPIs aligned with network requirements, such as bandwidth utilization, latency thresholds, or packet loss percentages.

c) Automation and Analytics: Leveraging automation and advanced analytics in WAN monitoring can significantly enhance efficiency. Automated alerting and remediation workflows enable IT teams to respond promptly to network issues, while analytics-driven insights help identify trends and optimize network performance.

Best Practices for WAN Monitoring

a) Regular Performance Assessments: Conduct periodic network performance assessments to identify improvement areas and track progress. This ensures that the WAN remains optimized and aligned with business objectives.

b) Collaboration between IT and Network Teams: To leverage their combined expertise for effective WAN monitoring and foster collaboration between IT and network teams. This collaboration can help align monitoring strategies with business goals and implement corrective actions when needed.

Understanding WAN use cases

Many further use cases demand changes to the way WANs are handled today. Some are as easy as businesses wanting bandwidth aggregation. This is the capability to use both public and private transport together at the same time. However, we also need new features such as application pinning. Pinning or forcing an application to take a specific transport can also be enforced via policy.

Similarly, application-ware or SLA-compliant routing is achieved by implementing a policy that looks for particular traffic characteristics such as jitter, loss, and delay to determine the path the application should take over the available transports.

 

Lab guide for DMVPN over the WAN.

The following lab guide shows DMVPN operating over the WAN and using GRE as the overlay protocol. To monitor the overlay tunnels at a basic level, you can use GRE keepalives or routing protocol times. At a more advanced level, the Dynamic Multipoint VPN Tunnel Health Monitoring and Recovery feature enhances the ability of the system to monitor and report Dynamic Multipoint VPN (DMVPN) events.

It includes support for Simple Network Management Protocol (SNMP), Next Hop Resolution Protocol (NHRP) notifications for critical DMVPN events, and DMVPN Syslog messages. It also enables the system to control the state of the tunnel interface based on the health of the DMVPN tunnels.

Note:

With the command: Show IP nhrp on R31, a spoke in the DMVPN design, you can see that we have dynamically registered with the Hub, R11. For registration, we use the Next Hop Resolution Protocol. The multicast keyword in the other command snippet is needed to allow EIGRP multicast Hellos over the DMVPN tunnel. The lab below has been upgraded from DMVPN Phase 1 to DMVPN Phase 3 with multipoint GRE on the spokes.

 

DMVPN configuration
Diagram: DMVPN configuration.

 

WAN Monitoring: WAN Monitoring Tools

    • Stage1: Application SD-WAN Visibility

For SD-WAN to make the correct provisioning and routing control, visibility into application performance is required. Therefore, SD-WAN enforces the right QoS policy based on how an application is tagged. To determine what prioritization they need within QoS policies, you need monitoring tools to deliver insights on various parameters, such as application response times, network saturation, and bandwidth usage. You control the SD WAN overlay.

    • Stage2: Underlay SD-WAN Visibility

Then it would help if you considered underlay visibility. I have found a gap in visibility between the tunnels riding over the network and the underlying transport network. SD-WAN monitoring leans heavily on the virtual overlay. For WAN underlay monitoring, we must consider the network is a hardware-dependent physical network responsible for delivering packets. The underlay network can be the Internet, MPLS, satellite, Ethernet, broadband, or any transport mode. A service provider controls the underlay.

    • Stage3: Security SD-WAN Visibility

Finally, and more importantly, security visibility and implementing network security. Here, we need to cover the underlay and overlay of the SD-WAN network, considering devices, domains, IPs, users, and connections throughout the network. Often, malicious traffic can hide in encrypted packets and appear like regular traffic—for example, crypto mining. The traditional deep packet inspection (DPI) engines have proven to fall short here.

We must look at deep packet dynamics (DPD) and encrypted traffic analysis (ETA). Combined with artificial intelligence (AI), it can fingerprint the metadata of the packet and use behavioral heuristics to see through encrypted traffic for threats without the negative aspects of decryption.

SD WAN monitoring
Diagram: SD WAN monitoring.

 

The traditional WAN

So, within your data center topology, the old approach to the WAN did not scale very well. First, there is cost, complexity, and the length of installation times. The network is built on expensive proprietary equipment that is difficult to manage, and then we have expensive transport costs that lack agility.

Not to mention the complexity of segmentation with complex BGP configurations and tagging mechanisms used to control traffic over the WAN. There are also limitations to forwarding routing protocols with convergence routing. It’s not that they redesigned it severely; it’s just a different solution needed over the WAN.

Distributed control plane

There was also a distributed control plane where every node had to be considered and managed. And if you had multi-vendor equipment at the WAN edge, different teams could have handled this in other locations. 

No WAN control

You could look at 8 – 12 weeks as soon as you want to upgrade. With the legacy network, all the change control is with the service provider. I have found this to be a significant challenge. There was also a major architectural change where a continuous flow of applications moved to the cloud. Therefore, routing via the primary data center where the security stack was located was not as important. Instead, it was much better to route the application directly into the cloud in the first cloud world. 

 

WAN monitoring tools
Diagram: The traditional WAN.

 

WAN Modernization

The need for new WAN monitoring tools

The initial use case of SD-WAN and other routing control platforms was to increase the use of Internet-based links and reduce the high costs of MPLS. However, when you start deploying SD-WAN, many immediately see the benefits. As you deploy SD-WAN, you are getting 5 x 9’s with dual Internal links, and MPLS at the WAN edge of the network was something you could move away from, especially for remote branches.

There was also the need for transport independence and to avoid the associated long lead times from deploying a new MPLS circuit. With SD-WAN, you create SD-WAN overlay tunnels over the top of whatever ISP and mix and match how you see fit.

Security and performance consistency

With SD-WAN, we now have an SD-WAN controller in a central location. And this brings with it a lot of consistency to security and performance. In addition, we have a consistent policy pushed through the network regardless of network locations.

SD-WAN monitoring and performance-based application delivery

SD-WAN monitoring is application-focused; we now have performance-based application delivery and routing. This type of design was possible with traditional WANs but was hard and complex to manage daily. It’s a better use of capital and business outcomes.

So we can use the less expensive connection without dropping any packets. There is no longer leverage in having something as a backup. With SD-WAN monitoring, you can find several virtual paths and routes around all failures. While enabling dropped packet test.

Now, applications can be routed intelligently and using performance. Optimal Layer 3 forwarding as a critical driver can make WAN monitoring more complete, and it’s not just about making a decision based on up or down. The WAN monitoring tools must understand the concept of brownouts, maybe high latency or high jitter. That circuit is not down, but the application will route around the issue with intelligent WAN segmentation.

Performance-based application delivery

WAN monitoring tools: Troubleshoot brownouts

Detecting brownouts

Traditional monitoring solutions focus on device health and cannot detect complex network service issues like brownouts. Therefore, it is critical to evaluate solutions that are easy to deploy and use to simulate end-user behavior from the right locations for the relevant network services.

Most of the reported brownouts caused causes to require active monitoring to detect. Five of the top six reasons brownouts occur can only be detected with active monitoring: congestion, buffer full drops, missing or misconfigured QoS, problematic in-line devices, external network issues, and poor planning or design of Wi-Fi.

WAN monitoring tools. Understanding geo policy and tunnel performance

Troubleshooting a brownout is difficult, especially when understanding geo policy and tunnel performance. What applications and users are affected, and how do you tie back to the SD-WAN tunnels? Brownouts are different from blackouts as application performance is affected.

 

SD-WAN Monitoring

So, we have clear advantages to introducing SD-WAN; managers and engineers must consider how they operationalize this new technology. Designing and installing is one aspect, but how will SD-WAN be monitored and maintained? Where do SD-WAN monitoring and security fit into the picture?

While most SD-WAN solutions provide native network and application performance visibility, this isn’t enough. I recommend supplementing native SD-WAN visibility with third-party monitoring tools. SD-WAN vendors are not monitoring or observability experts. So, it is like a networking vendor jumping into the security space.

The issues of encrypted traffic and DPI

Traditionally, we are looking for anomalies against unencrypted traffic, and you can inspect the payload and use deep packet inspection (DPI). Nowadays, there is more than a simple UDP scan. Still, bad actors appear in encrypted traffic and can mask and hide activity in regular traffic. This means some DPI vendors are ineffective and can’t see the payloads. Without appropriate visibility, the appliance will send a lot of alerts that are false positives.

Deep packet inspection technology

Deep packet inspection technology has been around for decades. It utilizes traffic mirroring to analyze the payload of each packet passing through a mirrored sensor or core device and is the traditional approach to network detection and response (NDR). Most modern cyberattacks heavily utilize encryption in their attack routines, including ransomware, lateral movement, and Advanced Persistent Threats (APT). However, this limitation can create a security gap since DPI was not built to analyze encrypted traffic.

Deep packet inspection technology
Diagram: Deep packet inspection technology.

 

So, the legacy visibility solutions only work for unencrypted or clear text protocols such as HTTP. In addition, DPI requires a decryption proxy, or middlebox, to be deployed for encrypted traffic. Middleboxes can be costly, introduce performance bottlenecks, and create additional security concerns.

Previously, security practitioners would apply DPI techniques to unencrypted HTTP traffic to identify critical session details such as browser user agent, presence of a network cookie, or parameters of an HTTP POST. However, as web traffic moves from HTTP to encrypted HTTPS, network defenders are losing visibility into those details.

 

WAN Monitoring tools: Good Visibility and Security Posture

Introducing telemetry

We need to effectively leverage your network monitoring infrastructure for better security and application performance monitoring to be more effective, especially in the world of SD-WAN. However, this comes with challenges with collecting and storing standard telemetry and the ability to view encrypted traffic.

The network teams spend a lot of time on security incidents, and sometimes, the security team has to look after network issues. So, both of these teams work together. For example, packet analysis needs to be leveraged by both teams, as flow control and other telemetry data need to be analyzed by the two groups.

The role of a common platform

So, it’s good that other network and security teams can work off a common platform and standard telemetry. This is where a network monitoring system can be used while plugging into your SD-WAN controller to help you operationalize your SD-WAN environments and gain better SD-WAN monitoring and SD-WAN visibility. There are a lot of application performance problems arising from security issues. So, you need to know your applications and examine encrypted traffic without decrypting.

WAN Monitoring tools for network performance monitoring and diagnostics

We have Flow, SNMP, and API for network performance monitoring and diagnostics. We have encrypted traffic analysis and machine learning (ML) for threat and risk identification for security teams. This will help you reduce complexity and will increase efficiency and emerge. So we have many things, such as secure access service edge (SASE) SD-WAN, and the network and security teams are under pressure to respond better.

WAN monitoring tools
Diagram: Network performance monitoring.

 

Merging of network and security

The market is moving towards the merging of network and security teams. We see this with cloud, SD-WAN, and SASE Definition with Zero Trust SASE. With the cloud, for example, we have a lot of security built into the fabric. With VPC, we have security group policies built into the fabric. SD-WAN, we have end-to-end segmentation commonly based on an overlay technology. That can also be terminal on a virtual private cloud (VPC).  

We need to improve monitoring, investigation capabilities, and detection. This is where the zero trust architecture and technologies such as single packet authorization can help you monitor and enhance detection with the deduction and response solutions. In addition, we must look at network logging and encrypted traffic analyses to improve investigation capabilities.

Regarding investment, we have traditionally looked at packets and logs but have SNMP, NetFlow, and API. There are a lot of telemetries that can be used for security, viewed initially as performance monitoring. Now, it has been managed as security and cybersecurity use cases.

 

SD-WAN Monitoring: The Need for a Baseline

For effective SD-WAN monitoring, you must first understand and perform baseline engineering on the current network to have smooth SD-WAN rollouts regarding policy. It is no longer just a primary backup link and a backup design. Now, we have intelligence application profiling. Everything is based on performance parameters such as loss, latency, and jitter. So, before you start any of this, you must have good visibility and observability.

You need to understand your network and get a baseline for policy creation, and getting the proper visibility is the first step in planning the SD-WAN rollout process. For this, a good understanding of new practices such as Observability and the ability to detect unknown problems that traditional monitoring cannot detect: Observability vs Monitoring.

WAN monitoring tools and a network monitoring platform

For traditional networks, they will be SNMP, Flow data, and a lot of multi-vendor equipment. So, you need to monitor and understand how applications are used across the environment, and not everyone uses the same vendor for everything.

For this, you need a network monitoring platform that can easily be scaled to perform baseline, complete reporting, and take into all multi-vendor networks. To deploy SD-WAN, you need network monitoring tools that need to be able to collect multiple telemetries, be multi-vendor, and have the ability to scale. 

Variety of telemetry

Consuming packets, decoding this to IPFIX, and bringing API-based data is critical. You need to be able to consume all of this data. When you are rolling out SD-WAN, monitoring is critical. First, we need to baseline to see what is expected. This will let you know if SD-WAN will make a difference and what type of difference it will make at each site. With SD-WAN, you can deploy application-aware policies that are site-specific or region-specific, but you first need a baseline to tell you what policies you need at each site.

QoS visibility

With a network monitoring platform, you can get visibility into QoS. This can be done by using advanced flow technologies to see the marking. For example, in the case of VOIP, the traffic should be marked as expedited forwarding (EF). Also, we need to be visible in the queueing, and shaping is also critical. You can assume that the user phones automatically market the traffic as EF.

Still, a misconfiguration at one of the switches in the data path could be remarking this to best efforts. Once you have all this data, you must collect and store it. The monitoring platform needs to be able to scale, especially for global customers, and to be able to collect information for large environments. Flow can be challenging. What if you have 100,000 flow records per second? 

 

SD-WAN Monitoring: WAN Capacity Planning

When you have a baseline, you need to understand WAN capacity planning for each service provider. This will allow you to re-evaluate your service provider’s needs. In the long run, this will save costs. In addition, we can use WAN capacity planning to let you know each site is reaching its limit. WAN capacity planning is not just about reports.

We are looking extensively at the data to draw value. Here, we can see the introduction of artificial intelligence for IT operations (AIOps) and machine learning to help predict WAN capacity and future problems. This will give you a long-term predicate when deciding WAN bandwidth and service provider needs.

Get to know your sites and POC.

For SD-WAN monitoring, you also need to know the sites. A network monitoring platform will allow you to look at sites and understand bandwidth usage across your service providers. This will enable you to identify what your critical sites are. You will want various sites and a cross-section of other sites on satellite connection or LTE, especially with retail. So look for varying sites, and learn about problematic sites where your users have problems with applications that are good candidates for proof of concepts. 

Mix all site types of a POC.

Your network performance management software will give you visibility into what sites to include in your proof of concept. So, this platform will tell you what sites are critical and which are problematic in terms of performance and would be a good mix for a proof of concept. When you get problematic sites in the mix, you will immediately see the return on investment (ROI) for SD-WAN. So uptime will increase, and you will see this immediately. But for this to be in effect, you first need a baseline.

 

Identity your applications:

Everything is port 80

So, we have latency, jitter, and loss. Understanding when loss happens is apparent. But with specific applications, with 1 – 5 % packet loss, there may not be a failover, which can negatively affect the applications. Also, many don’t know what applications are running. What about people connecting to the VPN with no split tunnel and then streaming movies? 

We have IP and ports to identity applications running on your network, but everything is port 80 now. You need to be able to consume different types of telemetry from the network to understand your applications fully.

The issues with deep packet inspection

What about the homegrown applications that a DPI engine might not know about? Many DPI vendors will have trouble identifying these. It would help if you had the network monitoring platform to categorize and identify applications based on several parameters that DPI can’t.  A DPI engine can classify many applications but can’t do everything. A network monitoring platform can create a custom application, let’s say, based on an IP address, port number, URL, and URI.  

 

Connecting to the SD-WAN Controller

The traditional approach is to talk to each device individually. However, in the SDN world, we need the network monitoring platform to connect the controller instead of each device. If you can connect to the controller, we have a single point of truth; this is where all the information can be gleaned. So here, it can form API connections to the SD-WAN controller to form a holistic view of all devices at the WAN edge. We need to collect different types of information from the SD-WAN controller for SD-WAN monitoring. 

SD-WAN API connectivity 

For example, some SD-WAN vendors give metrics via SNMP, Netflow, and API. So it would help if you collected all different types of telemetry data. This will allow you to identify network semantics, where the sites are, the WAN interface, service provider transports, and logical constructs such as the IP address allocations.

Multi-telemetry will help you drive workflows, geo-location mappings, performance visibility, and detailed reporting. And all of this can be brought together in one platform. We are bringing in all information about the environment, which is impossible with a Netflow v5 packet.

 

Requirements for WAN monitoring tools

SDWAN Monitoring
Diagram: Network monitoring platform.

 

Know application routing

The network monitoring platform needs to know the application policy and routing. It needs to know when there are error threshold events as applications are routed based on intelligence policy. Once the policy is understood, you must see how the overlay application is routed. With SD-WAN, we have per segment per topology to do this based on VRF or service VPN.

We can have full mesh or regions with hub and spoke. Per segment, topology verification is also needed to know that things are running correctly. So, to understand the application policy, what the traffic looks like, and to be able to verify brownouts. 

SD-WAN multi-vendor

Due to mergers or acquisitions, you may have an environment with multiple vendors affecting SD-WAN monitoring. Each vendor has its secret source, too. So, the network monitoring platform needs to bridge the gap and monitor both sides.

There may even be different business units. How do you leverage common infrastructure to achieve this? We first need to leverage telemetry for monitoring and analysts. This is important as if you are putting in info packet analysis; this should be leveraged by both security and network teams, reducing tool sprawl.

Overcome the common telemetry challenges.

Trying standard telemetry has challenges, and every type has its own challenges. Firstly, Big Data: This is a lot of volume in terms of storage size—the speed and planning of where you will do all the packet analysis. Next, we have the collection and performance side of things. How do we collect all of this data? From a Flow perspective, you can get flow from different devices. How do you collect from all the edge devices and bring them into a central location?

Finally, we have cost and complexity challenges. You may have different products for different solutions. We have an NPM for network performance monitoring, an NDR, and packet captures. The various products work on the same telemetry. Some often start with packet capture and move to an NPM or NDR solution.

 

Encrypted Traffic and SD-WAN Monitoring

SD-WAN visibility with SD-WAN encryption

With SD-WAN, everything is encrypted across public transport. So, most SD-WAN vendors can use meter traffic on the LAN side before they enter the SD-WAN tunnels, but many applications are encrypted end to end. You need to identify even keystrokes through encrypted sessions. How can you get the SD-WAN visibility that is fully encrypted? By 2025, all traffic will be encrypted. Here, we can use a network monitoring platform to identify and analyze threats among encrypted traffic.

Deep packet dynamics

So you should be able to track and classify with what’s known as deep packet dynamic and could include, for example, byte distributions, sequence of packets, time, jitter, RTT, and interflow stats. Now, we can push this into machine learning to identify applications and any anomalies associated with encryption. This can identify threats in encrypted traffic without decrypting the traffic.

 

  • “No impediment to latency or violation of privacy.”

Deep packet dynamics improve encrypted traffic visibility while remaining scalable and causing no impediment to latency or violation of privacy. Now, we have a malware detection method and cryptographic assessment of secured network sessions, which does not rely on decryption. This can be done without having the keys or decrypting the traffic. Managing the session key for decryption is complex and can be costly computationally. And often incomplete. They only often support session key forwarding on Windows or Linux or not on macOS, never mind the world of IoT.

sd wan visibility
Diagram: Encrypted traffic analytics.

 

Encrypted traffic analytics

Cisco’s Encrypted Traffic Analytics (ETA) uses the software Stealthwatch to compare the metadata of benign and malicious network packets to identify malicious traffic, even if it’s encrypted, providing insight into threats in encrypted traffic without decryption. In addition, recent work on Cisco’s TLS fingerprinting can provide fine-grained details about the enterprise network’s applications, operating systems, and processes.

The issue with packet analysis is that everything is encrypted, especially with TLS1.3. The monitoring of the traffic and the WAN edge is encrypted. How do you encrypt all of this, and how do you store all of this? How do you encrypt traffic analysis? Decrypting traffic can create an exploit and potential attack surface, and you also don’t want to decrypt everything.

 

Summary: WAN Monitoring

WAN monitoring involves constantly surveilling and analyzing network traffic, devices, and performance metrics within a wide area network. It utilizes specialized tools and software to monitor bandwidth utilization, latency, packet loss, and other key indicators that affect network performance.

Benefits of WAN Monitoring

a) Proactive Issue Detection: WAN monitoring allows businesses to identify potential network issues before they escalate, enabling proactive troubleshooting and minimizing downtime.

b) Performance Optimization: By monitoring various performance metrics, businesses can identify bottlenecks, optimize bandwidth allocation, and ensure efficient utilization of network resources.

c) Enhanced Security: WAN monitoring helps detect and mitigate security threats, such as unauthorized access attempts, malware infections, or data breaches, safeguarding critical business information.

Key Features of Effective WAN Monitoring Tools

a) Real-time Monitoring: Monitoring network performance in real-time is crucial for promptly identifying and resolving issues.

b) Customized Alerts and Notifications: Effective monitoring tools offer customizable alerts and notifications, allowing IT teams to stay informed about critical events or performance anomalies.

c) Traffic Analysis and Reporting: Comprehensive traffic analysis and reporting capabilities enable businesses to gain insights into network usage patterns, troubleshoot network congestion, and plan for future capacity requirements.

Conclusion:

In conclusion, WAN monitoring is vital in maintaining optimal network performance and reliability. Businesses can ensure uninterrupted connectivity and productivity across their wide area networks by proactively detecting issues, optimizing performance, and enhancing security. Implementing robust WAN monitoring tools and practices is essential for businesses of all sizes, enabling them to effectively manage their network infrastructure and adapt to evolving technological demands.

sd wan monitoring

Matt Conran: The Visual Age
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