As a network automation platform, NetBrain significantly enhances network observability by providing real-time, actionable insights into the network’s behavior and performance.

NetBrain-powered observability plays a major role in operations that strive to be more proactive and agile, especially when responding to new or changing conditions and requirements.

What Is Network Observability?

Network observability involves fully understanding the internal state of a network based on the data it generates, like metrics, logs, and traces. It goes beyond traditional network monitoring by providing deeper insights into network performance, behavior, and potential issues.

Observability vs. Monitoring: What’s the Difference?

At first glance, one might confuse network monitoring with observability. Monitoring is the process of continuously observing a network’s components, such as devices, traffic, and connections, to ensure proper operation. This oversight is achieved primarily through protocols such as SNMP polls and traps. It focuses on collecting and reporting data related to network performance and availability.

While monitoring can be automated, interpretations, correlations, and analyses of the polled data must be made manually. It’s also usually focused on device health rather than on network health from an end-user perspective.

Effective network observability tools should provide deeper insights into the network’s internal state, focusing on understanding not just what is happening in the network but also why it is happening. Network observability involves a more holistic approach, integrating metrics, logs, traces, and other data sources to offer a complete picture of network behavior.

Combine Automation and GenAI for Enhanced Observability

Enhanced by AI and automation, network observability can maintain network health, optimize performance, and ensure security. It provides a holistic network view, enabling teams to ask complex queries of their networks in natural language and receive actionable insights.

AI leverages natural language to get network information from experts without having to explain how to solve a problem to the handler, leveraging unlimited memory and machine speed.

Weaving together powerful no-code automation, a GenAI natural language co-pilot bot, and human expertise, network observability achieves the power of human intelligence at machine speed based on each organization’s unique hybrid network.

With AI, human intelligence is augmented, turning complex problem-solving into machine-speed operations. This allows for the creation of intelligent agents that guide the automation process, transforming human expertise into automated workflows.

These agents can create maps, answer anything about your network, run a set of steps as part of an action plan for troubleshooting diagnostics, validate configurations against golden baselines, and generate monitoring dashboards for things like slow applications and device status.

How Does Network Automation Work to Drive Network Observability?

NetBrain’s network automation capability combines no-code, intent-based automation with dynamic network mapping to proactively manage and troubleshoot complex, hybrid network environments. The platform leverages a map to give you the optimal data visualization you need to understand systems with vast data.

NetBrain starts by capturing network intent and continuously mapping it so you always have an up-to-date view of the network and traffic paths. This dynamic map helps power network observability.

The platform also triggers diagnostics, proactively verifies health, and centralizes insights for real-time collaboration and seamless knowledge transfer.

NetBrain Network Intents represent how your network should behave to support business services. These intents create a Digital Twin of your infrastructure to enable continuous, automated validation of performance, compliance, and network health.

Unlike traditional monitoring tools that rely on SNMP’s limited capabilities, NetBrain operates directly on the network management plane, collecting actionable telemetry. This data fuels no-code automation, turning intents into repeatable, intelligent diagnostics that provide comprehensive insights into network behavior.

Network Automation Enhances Observability

NetBrain’s intuitive dashboards make observability more actionable by going beyond basic alerts. These dashboards provide extensive contextual insights and on-demand analyses from a unified view.

By continuously collecting, analyzing, and implementing real-time data, network automation gives teams deeper visibility into network behavior, health, and performance without manual effort. This proactive visibility helps detect problems earlier, better understand root causes, and maintain a more resilient network.

Why Pursue Network Observability with NetBrain?

NetBrain’s no-code Network Automation combines the real-time data feeding its Digital Twin technology with ongoing, intent-based network assessments to maintain compliance, enhance performance, and provide security across hybrid and multi-vendor networks.

NetBrain powers key network observability goals:

  • Proactive issue detection: By analyzing metrics, logs, and traffic paths, network teams can diagnose and resolve problems before they affect users.
  • Root cause analysis: When problems arise, NetBrain allows for more effective troubleshooting by providing comprehensive data and automated analysis of what happened and why.
  • Performance optimization: Continuous visibility into the network and intelligent assessments allow you to fine-tune and optimize network performance.
  • Security compliance: NetBrain’s network observability helps detect configuration drift, poor security posture, and open vulnerabilities to security threats.

Experience these advantages with the network intelligence from human expertise, the power of no-code automation, and the ease of GenAI natural language search.

For a smarter, more efficient way to manage your network and reduce manual troubleshooting, explore NetBrain’s Network Observability tools by scheduling a demo today.

Frequently Asked Questions

How can I learn more?

Schedule a personalized demo with our expert team to see NetBrain’s capabilities in action. Our team will walk you through how our solutions can benefit your business’s technology landscape.

If you already have NetBrain and want more training and support, you can access comprehensive courses and certifications with NetBrain University, view our demo videos, or utilize our professional services.

What are the main advantages of network observability?
  • Improved Troubleshooting: Observability provides deeper insights and contextual analysis, making it easier to pinpoint where and why issues occur.
  • Proactive Issue Resolution: Observability helps identify abnormal patterns and behaviors before they become critical issues, allowing teams to address potential problems proactively.
  • Comprehensive Visibility: End-to-end observability allows for cross-layer correlation across different layers (e.g., application, network, and infrastructure), providing a holistic view of how changes or issues in one area might affect others.
  • Cost Efficiency: Observability eliminates waste expenditures through resource optimization and reduced downtime.
  • Support for Modern Architectures: Observability scales with the network even as they become more complex with the adoption of cloud services, microservices, and hybrid architectures.
What NetBrain automation solutions support observability?
  • Dynamic network mapping: Continuously visualize the live network and service paths for enhanced visibility across hybrid environments.
  • Intent-based automation: Verify that the network is behaving as designed by checking against defined intents.
  • Triggered diagnostics: Automatically run root cause analysis when alerts or anomalies are detected for actionable insights.
  • Proactive health checks: Automate pre-, during- and post-event assessments to detect issues before they impact performance or SLAs.
  • Centralized dashboards and incident portals: Consolidate all automation outputs, diagnostics and maps for end-to-end observability during incident response.

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