Manual scripts and static runbooks were built for a slower era of networking. In that environment, teams had more time to spot issues, decide on a fix, and implement change. Today, the primary challenge in network operations is decision latency across distributed, hybrid networks. With networks
Traditional monitoring was built for a world of static hosts, predictable traffic, and tidy fault trees. That world is gone. Cloud-native networks spin up and down in seconds. East-west traffic explodes inside clusters and across regions. Service-to-service dependencies change with every deploy.
Enterprise Network Operations Centers no longer struggle with a lack of data. The challenge is signal overload: too many alerts, logs, and performance metrics, and not enough time to interpret them. As enterprise networks shift from appliance-heavy stacks to cloud-managed and software-defined
Dashboards did not fail. The operating model did. The modern network is too fast, too distributed, and too interdependent for humans to remain the primary control loop. What began as AIOps is maturing into something more decisive : autonomous operations. Systems observe, predict, and remediate
The days of purpose-built networking hardware are numbered. For decades, building or scaling a network meant racking and stacking physical boxes for every function: routers, firewalls, and load balancers. This model is rigid, expensive, and slow. Network Functions Virtualization (NFV) directly
While many organizations are still working to extract full value from their 5G investments, the conversation is already shifting to 6G. But it is often the wrong conversation. The focus on theoretical speeds of one terabit per second misses the point entirely. Framing 6G as just a faster version of
