Making the case
Deep Observability is widely adopted by organizations for two main reasons. Firstly, it enhances overall network visibility by eliminating blind spots. Secondly, it optimizes network efficiency by selectively directing specific packets to appropriate security inspection or visibility tools.
Unlike traditional observability methods that primarily rely on metrics, events, logs, and traces (MELT), Deep Observability captures comprehensive data, offering a more robust approach. Network-derived intelligence, according to IDC, provides an unalterable truth that significantly strengthens security posture and practices, especially when combined with log-based tools.
By incorporating real-time network intelligence from packets, flows, and application metadata, Deep Observability amplifies the effectiveness of cloud, security, and observability tools. This comprehensive coverage across hybrid and multi-cloud IT infrastructures ensures in-depth defense and thorough performance management.
The system’s proactive approach in security allows for quick identification of threats and anomalies, reducing risk exposure and speeding up troubleshooting. Enhanced troubleshooting and root cause analysis not only shorten the mean time to resolution (MTTR) but also facilitate proactive maintenance. This leads to improved reliability, stability, and system performance.
