How 7SIGNAL enhances AIOps with WLAN data

Beyond Ping and SNMP: Rethinking Network Observability for the AI Era For decades, two simple tools defined the way we monitored networks: Ping and SNMP. They told us if a device was reachable and how it was performing. They were the heartbeat and pulse check of enterprise IT. But in 2025, that heartbeat is no longer enough. Today’s networks span hybrid clouds, APIs, and edge devices. They power distributed workforces, global applications, and AI-driven operations. Yet many organisations still depend on the same basic tools that were designed for static, on-premise systems. The result is blind spots, delayed alerts, and an endless cycle of firefighting instead of foresight. Modern observability is not about more dashboards or alerts. It is about intelligence. It is about connecting the dots across metrics, logs, and traces to understand not only what failed, but why it happened and when it might happen again. At NetGain Systems, we built Astra AI with this mission in mind. It transforms IT operations from reactive monitoring to predictive insight. Astra AI learns behavioural patterns, correlates telemetry across applications and networks, and forecasts anomalies before they disrupt users or revenue. Here is what it truly means to go beyond Ping and SNMP: ✅ Autonomous anomaly detection that continuously learns what “normal” looks like across thousands of network metrics. ✅ Contextual correlation that connects infrastructure, applications, and user experience into a single source of truth. ✅ Predictive forecasting that helps IT teams anticipate capacity, bandwidth, and performance issues before they escalate. ✅ Explainable insights that make AI recommendations transparent and actionable. These capabilities define what I call AI-ready observability. It provides the situational awareness enterprises need to move from monitoring to understanding. When your systems can recognise intent and adapt in real time, IT becomes not just reliable but intelligent. For years, network engineers were measured by how quickly they could respond to incidents. In the AI era, the true measure is how effectively they can prevent them. That is where Astra AI comes in. It acts as a digital co-pilot for operations, enhancing human decision-making and reducing mean time to resolution. If your organisation still relies on Ping and SNMP as your first line of defence, it is time to modernise. AI is not replacing your engineers; it is amplifying their ability to see patterns, act faster, and ensure the business never stops. The future of observability is not about more data, but smarter interpretation. With Astra AI, we are helping enterprises turn signals into foresight and complexity into clarity. 🔗 Read the full NetworkWorld article: https://lnkd.in/gENHykNG #AstraAI #NetGainSystems #Observability #AIOps #NetworkMonitoring #DigitalTransformation

Simplify, Automate, Secure: The Arista Modern Operating Model Are you still managing your network with multiple OS versions, siloed tools, and complex, error-prone processes? It's time to upgrade your Operating Model, not just your hardware. Arista's core advantage is a modern, cloud-inspired approach built on simplicity and consistency across your entire network—from Data Center to Campus and WAN. The Three Pillars of the Modern Operating Model: 1. ONE Operating System (EOS): A single, consistent EOS runs across all Arista platforms. This dramatically simplifies training, troubleshooting, and operations—eliminating the need to manage multiple OS versions. 2. ONE Automation & Management System: CloudVision serves as your true single pane of glass. It drives Automation-led Operations for zero-defect change controls, compliance, and automated deployments. 3. ONE State & AI Data-Driven Model: We build a Common Network Data Lake (NetDL) from real-time telemetry. This foundation is crucial for enabling end-to-end observability and AI-driven analysis to predict and prevent issues. The Result? Reliability & Security Built-In: - Zero Trust by Design: Our ONE Security Model integrates solutions like AGNI (Network Identity), Macro Segmentation Services (MSS), and Arista NDR to deliver a unified Zero Trust posture. - Quality First: Features like hitless smart software upgrades (ISSU) ensure your network is always available and always evolving. We move organizations to an operating model that is easier, faster, and more reliable. Let's discuss how Arista can transform your operations today! Reach out to me directly to see a personalized demo. #AristaNetworks #ModernOperatingModel #AIOps #CloudVision #ZeroTrust #NetworkAutomation #DigitalTransformation

“When you get to the point where traditional networks are constraining innovation, that’s when SDN comes in.”   One of our biggest enterprise projects, however, was a different story:   With multiple data centers, complicated routing policies, and manual configurations in place, performance and security holes were being dragged along. Scaling or enforcing policies across sites was slow and error-prone — precisely the sort of problem traditional architectures can’t address efficiently anymore.   The solution? Comprehensive Software-Defined Networking (SDN) that encompasses big data analytics, AI-based visualization and orchestration driven by machine learning, with support for cloud-native control planes.   We refactored the entire fabric to support centralized management, intent-based networking and real-time visibility on-premises as well as in hybrid environments.   The result:   45% faster policy deployment   Security: Better Application Segmentation and Zero-Trust Enforcement   Streamlined troubleshooting with AI-assisted telemetry   This project made me remember that the future of networking is programmable, automated and intelligent: not just connected.   Are you using SDN in your data center? What was the most difficult thing you had to do? Let’s discuss below.   #SDN #NetworkAutomation #DataCenter #AIinNetworking #CloudSecurity #NetworkArchitecture #smenode #smenodelabs #smenodeacademy

Legacy systems and manual processes are slowing operators down. The shift to Customer-Defined Applications (CDAs) changes the game, bringing automation, flexibility, and vendor-agnostic control. Key takeaways: - Zero-touch + AI/ML = smarter, self-optimizing networks - CDAs remove vendor lock-in and speed up innovation - Security & interoperability are critical as automation deepens Read more here: https://lnkd.in/dQj-w6ap

Data centers are entering a new era of resilience and modernization. A new Futurum Research and Nokia study reveals where IT leaders are investing next: AI-driven automation tools, rapid recovery and incident response, and comprehensive infrastructure upgrades. Enterprises are betting on automation to reduce human error, modern tech to eliminate legacy bottlenecks, and training to ensure teams can manage increasingly autonomous systems. Together, these priorities form a roadmap for the “always-on” data center of the future. Explore how top organizations are funding reliability and building smarter, self-healing infrastructure: https://buff.ly/BLlwNWM #DataCenters #AI #Resilience #Infrastructure #FuturumResearch #Nokia

💡 New insights on #networkobservability covered in SDxCentral! 💡 Tap the link to learn more. “Too many teams are still firefighting with fragmented, reactive tools,” Paul Gray, BlueCat’s SVP of engineering for its LiveNX, LiveAction, and LiveAssurance platforms, explained. “Automation and AI are no longer optional. Achieving secure, high-performing networks requires that NetOps teams retool with intelligent and automated solutions that help them more effectively move from problem to solution or avoid issues altogether.” https://lnkd.in/gR2_iMbK

Guardalis Pro — The AI-Driven, Mobile-First Command Infrastructure Built in Seattle. Engineered for the world’s most demanding operations. Guardalis Pro is a next-generation, cloud-native platform that fuses field operations, fleet intelligence, and digital command into one continuous operational network—accessible anywhere, on any device. Designed mobile-first for real-time decision-making in the field, Guardalis delivers the same performance and encryption standards on phone, tablet, and desktop. A globally distributed CDN architecture and redundant multi-region cloud clusters sustain 99.99 % uptime, ensuring every alert, map update, and data stream remains instant and resilient. Behind it all, a rigorous DevOps + SecOps pipeline powers continuous deployment, automated testing, and zero-trust security hardening—giving agencies a platform that evolves without downtime. Core Technologies • Proximity Intelligence™ — AI-driven spatial analytics predicting risk and optimizing coordination. • DriveChip™ + FleetIQ™ — Edge-connected telemetry with live diagnostics and predictive maintenance. • RedBeam™ + 911 Integration — Low-latency alert fabric linking field, command, and emergency networks. • ShiftSync™ — Machine-learning scheduling and accountability engine. • Compliance Core — Federated audit trail, SOC 2 readiness, and zero-trust identity orchestration. Guardalis Pro is infrastructure-as-intelligence—a mobile-first SaaS architecture built to safeguard people, fleets, and data while operating with near-perfect uptime and uncompromised security. www.guardalis.io @Guardalis Pro Guardalis Pro. Now Live. Command • Control • Protect

🚀 𝟱𝗚 𝗶𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀, 𝗯𝘂𝘁 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗶𝘁 𝗶𝘀 𝗻𝗼 𝘀𝗺𝗮𝗹𝗹 𝗳𝗲𝗮𝘁. Massive data, network slicing, multi-vendor stacks… operators face complexity at every turn. 𝗔𝗜 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝘀𝗹𝗶𝗰𝗲-𝗮𝘄𝗮𝗿𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 can turn this complexity into actionable insights, reducing MTTR, optimizing resources, and ensuring seamless experiences for users. 📖 𝗗𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗴𝘂𝗶𝗱𝗲: https://lnkd.in/ddW-A55q #5G #NetworkObservability #AIOps #TelecomInnovation #DigitalTransformation

The conventional model of shared wide area networking ignores techniques that combine storage and computation with data transmission to improve the quality of many network-constrained applications. Many such latency hiding techniques avoid the technically challenging problem of minimizing end-to-end transmission delay. Latency hiding is the principle that originally motivated the emerging field of data logistics. In the absence of the shared public infrastructure that supports data logistics, alternative approaches have been pursued. Private content delivery network infrastructure, in the form of backbone networks and distributed datacenters, are not constrained by cost and engineering difficulty. They serve only paying customers in the most developed components of the global Internet. At the same time, telecommunication operators are trying to segment the public Internet into “lanes,” segregating traffic (such as L4S) requiring the lowest possible latency (for example, teleconferencing) from traffic that is less sensitive to delay (such as file transfer). https://lnkd.in/eTfb6-dW