Latest posts
-
Anatomy of an AI Agent for Cisco SD-WAN: 20+ Knowledge Assessment Questions & Answers
Anatomy of an AI Agent for Cisco SD-WAN: Knowledge Assessment for Network Engineers 1. Introduction AI agents are becoming increasingly relevant to network operations. For Cisco SD-WAN engineers, concepts such as planning, RAG, tool calling, ReAct, memory, context windows, Human-in-the-Loop, and multi-agent orchestration can be connected directly to real-world network troubleshooting. Imagine receiving an alert:…
-
Anatomy of an AI Agent for Cisco ACI: 20+ Knowledge Assessment Questions & Answers
Anatomy of an AI Agent for Cisco ACI: Knowledge Assessment for Network Engineers 1. Introduction Artificial Intelligence is becoming increasingly relevant to network operations. For Cisco ACI engineers, concepts such as AI agents, RAG, tool calling, ReAct, memory, planning, and Human-in-the-Loop can be applied to practical troubleshooting and automation scenarios. This assessment converts the…
-
Multi-Agent AI Systems Explained for Cisco SD-WAN Engineers: Supervisor, Peer-to-Peer, and Hierarchical Patterns

Multi-Agent AI Systems Explained for Cisco SD-WAN Engineers: Supervisor, Peer-to-Peer, and Hierarchical Patterns One AI agent can only be so good at everything. Ask it to inventory branches in a region, check tunnel health, correlate an SLA breach, and draft a fix — and you’re asking one generalist to do the job of four specialists.…
-
Multi-Agent AI Systems Explained for Cisco ACI Engineers: Supervisor, Peer-to-Peer, and Hierarchical Patterns

Multi-Agent AI Systems Explained for Cisco ACI Engineers: Supervisor, Peer-to-Peer, and Hierarchical Patterns One AI agent can only be so good at everything. Ask it to inventory devices in a Pod, check health scores, correlate a traffic anomaly, and draft a fix — and you’re asking one generalist to do the job of four…
-
The Agent Loop in Cisco SD-WAN: How AI Can Automate Network Troubleshooting
Artificial intelligence is changing the way network engineers approach monitoring, troubleshooting, and automation. Traditionally, a network engineer might receive an alert, log in to the Cisco SD-WAN management platform, check device health, investigate WAN links, examine tunnel status, review application performance, and then decide what action should be taken. Now imagine an AI agent performing…
-
The Agent Loop in Cisco ACI: How AI Agents Can Troubleshoot, Automate and Safely Operate Networks
Artificial intelligence is changing the way network engineers approach monitoring, troubleshooting, and automation. Traditionally, a network engineer might receive an alert, log in to Cisco APIC, check faults, inspect endpoint information, verify contracts or routing, perform troubleshooting commands, and then decide what action should be taken. Now imagine an AI agent that can perform many…
-
(No Title)
Overall, the service was efficient and convenient. Everything worked as expected, and the organized process made the experience simple and stress-free.
-
How AI Memory Can Transform Cisco SD-WAN Operations: Working Memory, Long-Term Memory & RAG Explained with Real Examples
Enterprise WAN networks are becoming increasingly complex. A modern Cisco SD-WAN deployment may include hundreds of branch locations, multiple transport circuits, cloud connectivity, SaaS applications, and centralized policy management. While Cisco SD-WAN simplifies operations through centralized control, troubleshooting issues across multiple sites can still consume significant time. Imagine receiving alerts that twenty branch offices have…
-
How AI Memory Can Revolutionize Cisco ACI Operations
Cisco ACI has transformed data center networking by introducing policy-based automation, centralized management, and application-centric networking. However, as enterprise fabrics grow, troubleshooting becomes increasingly challenging. Imagine receiving multiple faults from different leaf switches after a maintenance window. Instead of manually checking APIC health, interface counters, contracts, endpoint learning, and event logs one by one, an…
-
(No Title)
The service was easy to use and highly effective. I appreciated the clean interface and the logical flow of each step in the process.