Network Observability: Bridging the Gap between Complexity and Control in IT Networks
Organizations must comprehend the internal status of the IT network in order to control the overall reliability and performance of the infrastructure and application due to the intricate and ongoing changes in network traffic pattern and configuration. Finding anomalies that impair the functionality of the IT infrastructure network is made more challenging by the growing complexity of network topologies and the constant state change of the network. Using a network observability platform, organizations may handle this complexity in a modern network. Numerous tools, including telemetry, data analysis platforms, AI/ML, and AIOps, can be included in network observability. The act of collecting data from dispersed, multi-layered hybrid cloud settings and centralizing it on a single dashboard is standardized by telemetry. Network telemetry is made up of logs, metrics, and traces, with the data coming from routing tables, application delay, flow logs, and performance testing data. Through ...