Best Network Monitoring Tools for 2026: Enterprise, Cloud, MSP & Open-Source Options
Modern network monitoring in 2026 is about much more than device up/down status. The best tools combine infrastructure metrics, traffic analytics, cloud telemetry, path visibility, synthetic testing, and AI-assisted investigation so NetOps teams can move faster from symptom to explanation.
This guide focuses on enterprise and upper-midmarket tools that show up repeatedly in real buying conversations. Niche packet analyzers, single-purpose utilities, and very narrow point tools are outside the scope unless they are widely used in network monitoring evaluations.
For a foundational overview of the category, see What Is Network Monitoring? Tools, Telemetry & Trends (2026). For a deeper buying framework, see How to Evaluate Network Monitoring Tools.
Top Network Monitoring Tools for 2026: A Shortlist
The best network monitoring tools in 2026 include Kentik, SolarWinds Network Performance Monitor (NPM), LogicMonitor, Datadog, ThousandEyes, Paessler PRTG, and Zabbix. These tools span traditional SNMP-based monitoring, cloud-native observability platforms, and modern network intelligence solutions, giving teams options for everything from device health to end-to-end performance visibility across hybrid and multicloud environments.
The right choice depends on what you need to see and control. Traditional platforms like SolarWinds and PRTG focus on infrastructure and device monitoring, while platforms like Datadog and LogicMonitor unify metrics, logs, and application context. Network intelligence platforms like Kentik go further by combining traffic analysis, routing visibility, and performance monitoring to help teams understand not just what is happening, but why.
For a 2026 network monitoring shortlist, these are the tools that stand out by use case:
- Kentik for AI-powered network intelligence across hybrid, multicloud, WAN, and internet-connected environments, with AI Advisor and Cause Analysis helping teams move faster from alert to explanation
- LogicMonitor for broad SaaS-based hybrid infrastructure monitoring
- Datadog for cloud-native teams that want network monitoring inside a broader observability platform
- Dynatrace for enterprises prioritizing full-stack observability and AI-driven correlation
- Cisco ThousandEyes for digital experience monitoring, SaaS assurance, and internet path visibility
- SolarWinds NPM and ManageEngine OpManager for traditional, self-hosted network performance monitoring
- Auvik for MSPs and distributed networks
- PRTG and WhatsUp Gold for approachable all-in-one monitoring
- Zabbix and OpenNMS for open-source flexibility
At-a-Glance Comparison
| Tool | Best For | Deployment | AI/Investigation | Standout Strength | Main Trade-off |
|---|---|---|---|---|---|
| Kentik | Large enterprises, service providers, hybrid and multicloud networks | SaaS | AI Advisor, Cause Analysis, custom network context, runbooks, AI-generated summaries | Network intelligence across flow, metrics, cloud, internet, and synthetics | Best fit when network-first visibility and AI-guided investigation matter more than a generic all-in-one IT ops suite |
| LogicMonitor | Broad hybrid infrastructure monitoring | SaaS | AIOps-style alerting, anomaly detection, event correlation | Strong device coverage plus broad hybrid monitoring | Can feel broad and complex if you want a more network-specialized tool |
| Datadog | Cloud-native teams and DevOps-led orgs | SaaS | ML-based anomaly detection and correlation across infrastructure and services | Tight integration across infra, logs, traces, and cloud networking | Costs can rise with scale and usage |
| Dynatrace | Full-stack observability with business context | SaaS / hybrid | Strong AI-driven correlation and root cause workflows | Excellent dependency awareness across applications and infrastructure | Premium pricing and an opinionated platform model |
| Cisco ThousandEyes | DEM, SaaS assurance, and internet path visibility | SaaS | Guided path analysis and synthetic-driven investigation | Outside-in visibility into internet, cloud, and SaaS dependencies | Often complements rather than fully replaces core NPM/NMS tooling |
| SolarWinds NPM | Large on-prem and device-centric environments | On-prem / hybrid | Limited AI relative to newer platforms | Mature traditional NPM with broad device coverage | Operational overhead and platform complexity at scale |
| ManageEngine OpManager | Self-hosted teams wanting broad network management | On-prem | Limited AI relative to observability-first platforms | Strong discovery, topology, and multi-protocol coverage | More infrastructure to manage and a more traditional operating model |
| Auvik | MSPs, distributed enterprises, and lean IT teams | SaaS | Moderate automation and alerting assistance | Fast deployment, real-time mapping, multi-tenant operations | Less depth for specialized traffic and routing investigations |
| PRTG Network Monitor | Departments, SMBs, and teams that value fast onboarding | On-prem / hosted | Basic analytics and alerting | Sensor-based model and approachable workflows | Not usually the first choice for very large or very complex estates |
| WhatsUp Gold | Mid-market teams wanting centralized visibility | On-prem | Minimal AI | Straightforward dashboards, discovery, and mapping | Less advanced analytics than newer SaaS-first platforms |
| Zabbix | Open-source teams wanting broad, flexible monitoring | Self-hosted | Trigger logic, baselining, and automation rather than modern AI agents | Templates, agent/agentless coverage, strong alerting | Requires skilled in-house ownership |
| OpenNMS | Open-source users with large or distributed networks | Self-hosted | Automation and extensibility, but limited modern AI workflows | Scalable fault, performance, and traffic monitoring | Steeper learning curve than commercial SaaS tools |
How we Evaluated these Tools
We looked at the criteria that matter most to enterprise buyers in 2026:
- Telemetry breadth: SNMP and streaming telemetry, flow data, cloud telemetry, logs, and synthetics
- Hybrid and multicloud visibility: On-prem, WAN, branch, public cloud, SaaS, and internet path coverage
- Investigation speed: Correlation, root cause workflows, AI assistance, and usable context
- AI investigation quality: We favored tools whose AI features do something concrete, such as guided triage, anomaly explanation, natural-language investigation, evidence-backed summaries, or workflow automation
- Deployment model: SaaS versus self-hosted, plus the operational burden that comes with each
- Scalability: Whether the platform remains usable as telemetry volume, retention, and environment sprawl grow
- Fit by team: NetOps, platform engineering, SRE, MSP, service provider, or mixed infrastructure teams
- Total cost of ownership: Not just licensing, but also servers, tuning, upgrades, and NetOps team member time
For a more detailed framework, see How to Evaluate Network Monitoring Tools.
Why this list includes observability and DEM tools
Not every product in this list belongs to the same technology category. Modern enterprise buyers no longer compare only classic NPM tools. In real evaluations, four categories often overlap:
- Traditional NPM/NMS tools built around device polling, alerting, and dashboards
- Full-stack observability platforms built around infrastructure, applications, logs, traces, and services
- Digital experience monitoring (DEM) platforms focused on user journeys, internet paths, and SaaS performance
- Network intelligence platforms built to unify network telemetry and apply AI-guided reasoning to explain what changed, why it changed, and what to investigate next
This modern category overlap is real, so this list reflects it instead of pretending every tool is a direct one-to-one replacement.
The Best Network Monitoring Tools for 2026
1. Kentik
Best for: Mid-to-large enterprises, service providers, and cloud-heavy organizations that need AI-powered, network-first visibility across hybrid infrastructure
Kentik is a network intelligence platform for modern infrastructure teams. It pairs unified network telemetry with AI-guided investigation so NetOps teams can ask better questions, troubleshoot faster, and standardize how they respond to incidents.
Kentik AI Advisor acts as a network-aware AI agent for NetOps. Engineers can ask questions in natural language, and AI Advisor can interpret intent, plan multi-step investigations, query relevant data sources, and return evidence-backed answers. Kentik also supports custom network context and runbooks, so teams can encode their own architecture, naming conventions, troubleshooting workflows, and operational practices directly into the investigation experience.
Alongside AI Advisor, Cause Analysis helps teams automatically isolate and explain traffic spikes and drops by comparing time periods and surfacing the dimensions that changed most. Together, these capabilities help teams move more quickly from “something looks wrong” to “here’s what changed, why it matters, and what to do next.”
Kentik is especially effective when your most difficult questions involve traffic, routing, cloud paths, SaaS dependencies, internet performance, or service-provider-style scale. It combines traffic analysis, network and device metrics, routing context, cloud telemetry, and synthetic testing in one platform, making it well suited to environments where the performance and reliability of the network itself is a high priority.
Why it stands out
- Advanced AI features: AI Advisor for natural-language, multi-step network investigation, Cause Analysis for instant triage of traffic spikes and drops, custom network context and runbooks for more consistent, organization-specific AI reasoning
- Network-first visibility across flow, routing, cloud, metrics, internet paths, and synthetics
- Strong fit for multicloud, WAN, internet, peering, and service provider use cases
- SaaS delivery that avoids managing a large, self-hosted monitoring stack
Trade-offs
- Organizations that require every part of monitoring to stay self-hosted may prefer traditional on-prem tools or open-source platforms
- Teams seeking a pure application observability suite may still pair Kentik with APM or log-focused platforms
2. LogicMonitor
Best for: Enterprises that want broad hybrid infrastructure monitoring in a SaaS model
LogicMonitor is often shortlisted by teams that want one hosted platform to monitor network devices, cloud resources, and infrastructure services across mixed environments. Its strength is breadth: automated discovery, dynamic topology, wide device support, and AI-assisted workflows that help reduce alert noise.
Why it stands out
- Broad coverage across network, cloud, and infrastructure monitoring
- SaaS delivery with less operational overhead than self-hosted platforms
- Strong discovery and topology workflows for hybrid estates
Trade-offs
- Less network-specialized than Kentik for deep traffic, routing, or internet-path investigations
- Feature breadth can make the product feel heavier than point solutions
3. Datadog
Best for: Cloud-native teams that want network monitoring inside a broader observability platform
Datadog is a strong choice when network monitoring is part of a wider observability strategy that already includes infrastructure, logs, traces, security, and cloud services. It is especially compelling for teams running modern cloud applications and microservices that want to correlate network behavior with application and infrastructure signals in one place.
Why it stands out
- Tight correlation across application, infrastructure, and network telemetry
- Strong fit for cloud-native and containerized environments
- Useful for teams already standardized on Datadog
Trade-offs
- Usage-based pricing can become material at scale
- Not as network-first as platforms built primarily around traffic, routing, and path intelligence
4. Dynatrace
Best for: Enterprises pursuing full-stack observability with strong AI-driven correlation
Dynatrace is built for organizations that want a unified observability platform with powerful automation and AI-driven analysis across applications, infrastructure, and digital experience. It is a strong fit when business impact and service dependency mapping matter as much as pure network troubleshooting.
Why it stands out
- Strong full-stack correlation and dependency awareness
- Mature AI layer for anomaly detection and root cause workflows
- Good fit for teams aligning NetOps with platform, app, and digital experience teams
Trade-offs
- Premium enterprise platform with corresponding cost and complexity
- Best fit when full-stack observability is the goal, rather than a network-first operating model
5. Cisco ThousandEyes
Best for: Digital experience monitoring, SaaS assurance, and internet path visibility
ThousandEyes earns a place on this list because many modern “network” issues are really internet, SaaS, DNS, BGP, or third-party path problems. It is particularly valuable when you need outside-in visibility into user journeys and internet-connected dependencies, especially for remote work, branch connectivity, and business-critical SaaS applications.
Why it stands out
- Strong digital experience monitoring and synthetic testing
- Visibility into internet, cloud, and SaaS dependencies
- Good fit for teams that need to validate user experience beyond internal infrastructure alone
Trade-offs
- Often complements a broader NPM or network observability platform rather than replacing it
- Less centered on internal network device monitoring than classic NPM tools
6. SolarWinds Network Performance Monitor
Best for: Large, mostly on-prem environments that want mature device-centric network monitoring
SolarWinds NPM remains one of the best-known network monitoring platforms and is still a common benchmark in enterprise evaluations. It is strongest when teams need traditional device and interface monitoring, alerting, dashboards, and reporting across a large installed base of routers, switches, firewalls, and related infrastructure.
Why it stands out
- Mature, proven NPM workflows
- Broad device coverage and familiarity inside many IT teams
- Strong fit for organizations already invested in the SolarWinds ecosystem
Trade-offs
- Scaling larger deployments can introduce additional servers, polling engines, and database overhead
- Less naturally aligned with cloud-first, internet-path, and AI-guided network intelligence use cases than newer SaaS platforms
7. ManageEngine OpManager
Best for: Teams that prefer self-hosted monitoring with broad device and topology coverage
OpManager is a practical choice for organizations that want a feature-rich, on-prem network monitoring platform with strong discovery, mapping, reporting, and multi-protocol monitoring. It is often attractive to teams that want wide device coverage and a more traditional ownership model.
Why it stands out
- Strong discovery, topology mapping, and device monitoring breadth
- Good fit for networks with diverse infrastructure and self-hosting requirements
- Often attractive from a price-to-feature standpoint
Trade-offs
- Self-hosted operational overhead is part of the package
- Less specialized for deep cloud-network and internet performance investigations
8. Auvik
Best for: MSPs, distributed enterprises, and lean IT teams that want fast time-to-value
Auvik has become a go-to choice for teams that need quick deployment, live mapping, and simple day-to-day operations across many networks or sites. Its cloud delivery and multi-tenant design make it especially appealing for MSPs and internal teams managing many branches or remote locations.
Why it stands out
- Fast deployment and intuitive ongoing operations
- Real-time mapping and configuration visibility
- Strong fit for multi-tenant and distributed-site use cases
Trade-offs
- Typically not the deepest option for advanced traffic analytics or large service-provider-style use cases
- Less customizable than some self-hosted platforms
9. Paessler PRTG Network Monitor
Best for: Teams that want an approachable all-in-one monitoring platform
PRTG remains popular because it is relatively easy to understand, easy to deploy, and flexible enough to cover a lot of common monitoring needs in one product. Its sensor-based model is familiar to many buyers and works well for environments where simplicity matters as much as depth.
Why it stands out
- Approachable setup and broad protocol support
- Useful dashboards, maps, and auto-discovery workflows
- Good fit for departmental, SMB, and mid-market deployments
Trade-offs
- Large or very complex environments may outgrow its sweet spot
- Less specialized for modern internet-path and multicloud network intelligence use cases
10. Progress WhatsUp Gold
Best for: Mid-market teams that want straightforward, centralized visibility
WhatsUp Gold appeals to buyers who want discovery, mapping, dashboards, and reporting in a relatively direct package without taking on the breadth or complexity of a larger IT operations suite. It is a practical choice for organizations that care about usability and classic monitoring workflows.
Why it stands out
- Strong discovery and layer 2/3 mapping
- Unified dashboards and reports for day-to-day operations
- Good choice for centralized visibility without excessive complexity
Trade-offs
- Less advanced in AI, analytics, and cloud-era observability than newer SaaS-first platforms
- Best fit for mid-market and traditional infrastructure teams
11. Zabbix
Best for: Open-source teams that want a broad monitoring platform with strong flexibility
Zabbix remains one of the most capable open-source platforms for monitoring networks, servers, virtual infrastructure, and applications in a single environment. It is a solid choice for organizations that have the skills, time, and resources to run and tune their own platform and want to avoid commercial licensing.
Why it stands out
- Flexible open-source platform with wide coverage
- Strong template model and alerting workflows
- Good fit for organizations comfortable owning their monitoring stack
Trade-offs
- Requires skilled administration and planning
- User experience and day-to-day ergonomics are more utilitarian than modern SaaS products
12. OpenNMS
Best for: Open-source users with large or distributed networks
OpenNMS is particularly appealing when scale and extensibility matter more than polished SaaS ergonomics. It offers a strong mix of fault, performance, and traffic monitoring and is frequently considered by teams that want enterprise-grade open-source monitoring for large environments.
Why it stands out
- Scales well for larger, distributed networks
- Strong open-source option for fault, performance, and traffic monitoring
- Extensible platform with serious enterprise potential
Trade-offs
- Steeper learning curve than most commercial SaaS tools
- Best fit for technically confident teams with time to invest in ownership
Why Kentik Stands Out for Modern Network Operations
Many comparison pages lump all monitoring tools into one bucket. In practice, there is a meaningful difference between:
- Traditional NPM/NMS tools built primarily around device polling and alerting
- Full-stack observability platforms built primarily around applications, services, logs, and traces
- Digital experience monitoring platforms built for user journeys and internet/SaaS visibility
- Network intelligence platforms built to explain how traffic, routing, cloud paths, internet dependencies, device health, and synthetic tests fit together, then apply AI-guided reasoning to help teams investigate and act
Kentik stands out because it sits most clearly in that last category.
For teams operating hybrid networks at real scale, the hard questions are usually not “is the router up?” They are questions like:
- What changed?
- Where did it change?
- Who or what is affected?
- Is the problem in our infrastructure, in the cloud, on the internet, or at a provider boundary?
- What should we investigate next?
In this short video, three Kentik service provider customers share how Kentik AI Advisor helps them move faster, troubleshoot smarter, and put network data in more hands across the team. Hear from Everett Sinclair (Conway Corporation), Michael Leclaire (MetroNet), and John Lubeck (Midco) on why they chose Kentik to unify flow analytics, baselining, and anomaly detection in one platform, and how Kentik AI features make it easier to explore, explain, and act on what’s happening in their networks:
Kentik is built for that style of investigation. It combines traffic analysis, network infrastructure metrics, and synthetic testing in one platform, then layers AI Advisor, Cause Analysis, AI-generated summaries, runbooks, and custom network context on top.
That makes it especially strong for:
- Multicloud and hybrid network visibility
- Internet and SaaS path troubleshooting
- Capacity planning and traffic engineering
- DDoS detection and security-relevant anomaly investigation
- Service provider and backbone visibility
- Faster NetOps triage without hopping across disconnected tools
- Standardizing investigations across teams with AI-guided workflows
Teams that mostly need classic on-prem device monitoring can absolutely choose a traditional NPM suite. But teams with cloud, WAN, internet, and performance complexity often want a platform that explains behavior, not just status.
How to Choose the Right Network Monitoring Tool
The right choice depends less on feature checklists and more on your operating model.
Choose Kentik if…
- Your most difficult incidents involve traffic, routing, cloud paths, SaaS dependencies, or internet performance
- You want AI-assisted network engineering features that reduce investigation time and make NetOps more consistent
- You need network-first visibility across on-prem, WAN, multicloud, and the public internet
- You want unified flow, metrics, cloud telemetry, and synthetic testing
Choose LogicMonitor if…
- You want broad, SaaS-based infrastructure monitoring across hybrid environments
- You value discovery, topology, and hosted operations more than deep network-specialist analytics
Choose Datadog or Dynatrace if…
- Your organization already thinks in full-stack observability terms
- You want network data tightly connected to application, infrastructure, and developer workflows
Choose ThousandEyes if…
- User experience depends heavily on SaaS, internet, branch, or third-party network paths
- You need outside-in testing and internet intelligence more than classic device-centric monitoring
Choose legacy NPM solutions such as SolarWinds, ManageEngine, PRTG, or WhatsUp Gold if…
- You prefer self-hosted or traditional monitoring models
- Your environment is still more device-centric than cloud-path-centric
Choose Auvik if…
- You manage many branches, customers, or distributed networks
- Fast deployment and day-to-day simplicity are essential
Choose Zabbix or OpenNMS if…
- You want open-source flexibility
- Your team is willing to own deployment, scaling, and ongoing platform engineering
Frequently asked questions
What are network monitoring tools?
Network monitoring tools are software platforms that collect and analyze telemetry from network devices, traffic, paths, cloud environments, and connected services to track health, availability, and performance. Modern network monitoring tools often combine real-time analytics, cloud visibility, synthetic testing, and AI-assisted investigation so teams can detect issues faster and understand what changed.
What features should a modern network monitoring tool include?
At minimum, a modern network monitoring tool should include:
- Real-time performance monitoring
- Availability and alerting
- Traffic and bandwidth analysis
- Device and interface health
- Topology and dependency visibility
- Cloud and hybrid infrastructure monitoring
- Synthetic or active testing
- Historical data for trend and capacity analysis
- Useful dashboards and integrations
- Investigation workflows that reduce manual triage, ideally with AI assistance
What is network intelligence?
Network intelligence goes beyond dashboards and alerting. It combines unified network telemetry with AI-guided analysis so teams can ask questions in natural language, run multi-step investigations, standardize troubleshooting with runbooks and custom network context, and get evidence-backed explanations plus suggested next actions.
What is the difference between network monitoring, network observability, network intelligence, and DEM?
Network monitoring focuses on health, availability, performance, and alerts across devices, links, traffic, and paths. Network observability goes further by correlating multiple telemetry sources to explain why behavior changed. Network intelligence adds AI-guided investigation, network-specific context, and actionable workflows that help teams move from detection to explanation and next steps faster. Digital experience monitoring (DEM) focuses on what users actually experience across SaaS applications, internet paths, cloud services, and synthetic or endpoint perspectives.
What are the best network monitoring tools for enterprises in 2026?
For large enterprises, the shortlist usually includes Kentik, LogicMonitor, Datadog, Dynatrace, SolarWinds NPM, and ManageEngine OpManager. The best choice depends on whether you need network intelligence, broad hybrid infrastructure monitoring, full-stack observability, or traditional self-hosted NPM.
What is the best network monitoring tool for hybrid and multicloud environments?
Kentik, LogicMonitor, Datadog, and ThousandEyes are strong options for hybrid and multicloud environments. Kentik is especially strong when the network itself is the investigative center of gravity and when AI-guided investigation is a priority, while Datadog and Dynatrace are stronger when the organization is already standardized on a broader observability platform.
What is the best network monitoring tool for service providers?
Kentik is one of the strongest fits for service providers because it is built for high-volume traffic analysis, routing context, path visibility, and AI-assisted operational visibility across complex, distributed environments. See also: Kentik for Service Providers
What is the best network monitoring tool for MSPs?
Auvik is one of the strongest MSP-oriented options because of its cloud delivery, real-time mapping, and multi-tenant operating model.
What are the best open-source network monitoring tools in 2026?
Zabbix and OpenNMS are two of the strongest open-source options for 2026. Zabbix is broad and flexible for general infrastructure monitoring, while OpenNMS is especially attractive for larger or more distributed network environments.
What about Nagios as a network monitoring tool?
Nagios remains a well-known open-source name, especially in legacy or plugin-heavy environments. In 2026, many buyers evaluating open-source options also compare Zabbix and OpenNMS because they provide a more contemporary all-in-one experience out of the box.
What is the best SolarWinds alternative for modern networks?
That depends on what you are trying to improve. For cloud, internet, path, and traffic visibility plus AI-guided investigation, Kentik is one of the strongest modern alternatives. For broad SaaS-based hybrid monitoring, LogicMonitor is another common shortlist entry. If you prefer to stay self-hosted, ManageEngine OpManager and open-source platforms like Zabbix may also be worth evaluating. For a deeper breakdown, see SolarWinds Alternatives: Modern Network Monitoring (NPM and NTA) Tools for Enterprises and Service Providers.
Are AI features actually important in network monitoring tools?
They matter when they reduce investigation time, standardize triage, and show their work. The most useful capabilities are not generic chat interfaces, but features like guided multi-step investigations, automated “what changed?” analysis, runbook-driven troubleshooting, and evidence-backed summaries. See also: Kentik AI
Can one tool replace network monitoring, observability, and DEM?
Sometimes, but not always. Some organizations standardize on a broad observability platform and fill network gaps with specialist tools. Others use a network intelligence platform as the core for traffic, routing, cloud, and path visibility, then integrate it with APM, logging, or DEM tooling. The best answer depends on how your teams are organized and which kinds of incidents cause the most pain.
Final Takeaway
The best network monitoring tools for 2026 don’t all solve the same problem.
If you want an AI-powered network intelligence platform for hybrid, multicloud, and internet-connected environments, Kentik is one of the strongest choices on the market. Its combination of unified network telemetry, AI Advisor, Cause Analysis, synthetic testing, and network metrics is especially compelling for teams that need to move quickly from alert to explanation.
If you want broad hybrid infrastructure monitoring, LogicMonitor is a strong contender. If you want full-stack observability, look closely at Datadog and Dynatrace. If you need digital experience monitoring and visibility into SaaS or internet paths, ThousandEyes deserves serious consideration (along with Kentik Synthetics). For more traditional, self-hosted network monitoring, SolarWinds, ManageEngine, PRTG, and WhatsUp Gold remain relevant. For open-source flexibility, Zabbix and OpenNMS continue to stand out.
The key to choosing the best network monitoring solution isn’t to ask which tool has the longest feature list. It’ss to ask which tool best matches the types of network questions your team needs to answer every day, and how quickly that tool helps your team get to an answer.
Learn how AI-powered insights help you predict issues, optimize performance, reduce costs, and enhance security.
Related Reading about Network Monitoring Tools
- What Is Network Monitoring? Tools, Telemetry & Trends (2026)
- How to Evaluate Network Monitoring Tools
- Network Monitoring Architecture: Three Pillars of Modern Network Monitoring
- Network Performance Monitoring (NPM)
- SolarWinds Alternatives: Modern Network Monitoring (NPM and NTA) Tools for Enterprises and Service Providers
- Kentik AI
