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What are the newest network monitoring tools to improve performance?

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Network monitoring is essential for telecommunication services, as it helps to ensure the availability, reliability, and performance of network devices and applications. However, with the increasing complexity and diversity of network environments, traditional network monitoring tools may not be enough to cope with the challenges of modern network management. In this article, we will explore some of the newest network monitoring tools that can help you improve your network performance and troubleshoot issues faster and easier.

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Bala Murgan

Sales | Cyber Security | Business Development | AI | APAC | Director | SaaS | Cloud | Telecoms | 5G | Consulting |…
Ghyas Alam

Commercial Manager Airlift Systems (Royal Australian Airforce)
Seshagirirao Lekkala

Engineering at Cisco Systems | IP Networking | SD WAN | Fellow BCS | IEEE Senior

1 AI-based network monitoring

One of the newest trends in network monitoring is the use of artificial intelligence (AI) to analyze network data and provide insights and recommendations. AI-based network monitoring tools can leverage machine learning, deep learning, and natural language processing to automate tasks such as anomaly detection, root cause analysis, and remediation. For example, some AI-based network monitoring tools can identify network patterns and behaviors, predict future issues, and suggest optimal configurations and policies. AI-based network monitoring tools can also provide natural language interfaces and chatbots that can help you interact with your network and get answers to your queries.

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Ghyas Alam

Commercial Manager Airlift Systems (Royal Australian Airforce)
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Tools such as SolarWinds Network Performance Monitor (NPM) and PRTG Network Monitor offer robust solutions with real-time monitoring, customizable dashboards, and extensive sensor options. Wireshark, a widely-used packet analyzer, enables in-depth network analysis for issue identification and troubleshooting. Additionally, Nagios, Dynatrace, Datadog, Grafana, and Zabbix provide diverse options, ranging from open-source solutions to AI-powered tools.

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Seshagirirao Lekkala

Engineering at Cisco Systems | IP Networking | SD WAN | Fellow BCS | IEEE Senior
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ThousandEyes is a Digital Experience Monitoring (DEM) tool that integrates application performance monitoring into a broader network monitoring platform. It offers several features such as monitoring the performance of applications, providing detailed visibility into every network path, and supporting the monitoring of SaaS applications and hybrid systems.

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Axel Hoehnke

Cybersecurity & Compliance Advisor, CISO, Vanta MSP, NIS2, CRA, CIO
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AR ?? Augmented Reality is revolutionizing network monitoring and management in many ways. AR lets us see network device statuses and performance metrics overlaid in the real world using AR glasses or smartphones. Interactive troubleshooting is made possible through 3D network representations, enabling technicians to inspect and configure devices virtually. AR also enhances remote collaboration, allowing experts to guide field technicians in real-time with visual annotations. Additionally, AR provides a simulated environment for training new technicians, offering practice on virtual network setups without affecting live environments. This is making IT practices more interactive and efficient. ???????

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?? Eric RACINEUX

????RSI -Responsable des Systèmes d'information ?? - Machines EMR ?? - Plateforme d'essais in situ ?? 324,0 ppm
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Effectivement, de nombreux outils de surveillance réseau, tels que Dynatrace, exploitent déjà ou sont en train d'exploiter pleinement le potentiel de l'intelligence artificielle (IA) et des algorithmes avancés. Ces outils utilisent l'IA pour améliorer la détection des problèmes, automatiser la résolution des incidents, fournir des analyses plus approfondies et permettre une gestion proactive et intelligente des performances réseau. En intégrant ces capacités d'IA, ces outils offrent une surveillance et une optimisation réseau plus efficaces, contribuant ainsi à une gestion plus robuste et proactive des infrastructures informatiques.

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2 Cloud-native network monitoring

Another new trend in network monitoring is the adoption of cloud-native technologies and architectures. Cloud-native network monitoring tools are designed to run on cloud platforms and use cloud services, such as containers, microservices, serverless functions, and APIs. Cloud-native network monitoring tools can offer benefits such as scalability, agility, and cost-efficiency, as they can adapt to changing network demands and optimize resource utilization. For example, some cloud-native network monitoring tools can use containers to deploy monitoring agents across different network segments and locations, and use serverless functions to execute monitoring tasks on demand.

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?? Eric RACINEUX

????RSI -Responsable des Systèmes d'information ?? - Machines EMR ?? - Plateforme d'essais in situ ?? 324,0 ppm
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Le cloud computing représente une application idéale pour l'intelligence artificielle (IA), car il répond aux normes strictes et intègre pleinement l'IA dans toutes ses offres (IaaS, PaaS, SaaS). Les services cloud, grace à leur infrastructure évolutive, offrent une instrumentation complète (comme Kubernetes pour le PaaS), favorisant l'exploitation d'algorithmes d'IA pour optimiser les performances, automatiser la gestion des données, et améliorer l'expérience utilisateur. Ainsi, le mariage entre le cloud et l'IA offre des solutions informatiques plus intelligentes, agiles, et conformes aux standards de sécurité.

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3 Network observability

Network observability is a concept that goes beyond network monitoring, as it aims to provide a comprehensive and holistic view of the network state and performance. Network observability tools can collect and correlate data from multiple sources and layers, such as logs, metrics, traces, events, and flows. Network observability tools can also use visualization and analytics techniques to present the data in a meaningful and actionable way. For example, some network observability tools can use dashboards, graphs, maps, and timelines to show the network topology, dependencies, performance, and health. Network observability tools can also use alerts, reports, and notifications to inform you of any network issues or changes.

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4 Network automation

Network automation is another new development in network monitoring, as it can help you reduce manual work and human errors, and improve network efficiency and consistency. Network automation tools can use scripts, workflows, and policies to automate network tasks, such as configuration, provisioning, testing, and troubleshooting. Network automation tools can also integrate with other network monitoring tools, such as AI-based and cloud-native tools, to enable self-healing and self-optimizing networks. For example, some network automation tools can use AI to detect network anomalies and trigger automated actions, such as adjusting network parameters or applying patches.

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Bala Murgan

Sales | Cyber Security | Business Development | AI | APAC | Director | SaaS | Cloud | Telecoms | 5G | Consulting | Software | IoT | Enterprise | B2B | B2B2C | Partnership | Alliances | B2G2C |
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Qualcomm Edgewise Suite is a robust RAN service automation, management, and orchestration (SMO) platform that sets new standards for mobile network operators, OEMs, system integrators, and other industry stakeholders. The platform expedites intuitive and intelligence-driven deployment of cloud-based cellular infrastructures including both public and private 5G networks. The platform delivers the intelligence needed to help ensure superior network performance: A. Horizontal Platform enabling multi-vendor ecosystem B. Programmability that enables an application marketplace C. Flexible platform supporting traditional RAN, vRAN, and Open RAN D. Accelerated public and private network deployments E. Field-proven performance

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5 Network security

Network security is not a new aspect of network monitoring, but it is still a critical one, especially in the face of increasing cyber threats and regulations. Network security tools can help you monitor and protect your network from attacks, breaches, and vulnerabilities. Network security tools can use techniques such as encryption, authentication, firewall, antivirus, and intrusion detection and prevention to secure your network data and devices. Network security tools can also use compliance and audit features to ensure your network meets the standards and requirements of your industry and region.

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6 Network performance testing

Network performance testing is another important component of network monitoring, as it can help you measure and evaluate your network performance and quality. Network performance testing tools can use methods such as ping, traceroute, bandwidth, latency, jitter, and packet loss to test your network connectivity and speed. Network performance testing tools can also use scenarios, simulations, and benchmarks to test your network under different conditions and loads. For example, some network performance testing tools can use synthetic or real user data to test your network performance from different locations and devices.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the newest network monitoring tools to improve performance?

1

2

3

4

5

6

7

1 AI-based network monitoring

2 Cloud-native network monitoring

3 Network observability

4 Network automation

5 Network security

6 Network performance testing

7 Here’s what else to consider

Telecommunication Services

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What are the newest network monitoring tools to improve performance?

1

2

3

4

5

6

7

1 AI-based network monitoring

2 Cloud-native network monitoring

3 Network observability

4 Network automation

5 Network security

6 Network performance testing

7 Here’s what else to consider

Telecommunication Services

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