New eBPF-powered sensor delivers packet-level visibility and AI-ready insights across complex multi-cloud environments
The News
NETSCOUT Systems, Inc. (NASDAQ: NTCT) has introduced Omnis KlearSight Sensor for Kubernetes, a tool designed to eliminate visibility gaps across complex, encrypted, multi-cluster Kubernetes environments. The new solution provides deep, actionable, and real-time insights into system performance, health, and cost drivers, helping enterprises move beyond basic monitoring toward understanding why performance issues occur.
KlearSight uses extended Berkeley Packet Filter (eBPF) technology to extract packets directly from the Linux kernel’s networking stack after decryption, converting the data into standard IT traffic for analysis without requiring encryption keys. This allows organizations to observe communications between microservices with low overhead and no compromise to data security.
By bridging visibility across private and public clouds, KlearSight aims to strengthen performance management and accelerate incident resolution, supporting enterprise modernization and AI-enabled observability initiatives.
Closing the Kubernetes Visibility Gap
Kubernetes has become the de facto platform for cloud-native application orchestration, but with this ubiquity comes complexity. As deployments span clusters, clouds, and regions, enterprises often lose the ability to see into encrypted workloads or identify interservice dependencies in real time. NETSCOUT’s KlearSight Sensor directly addresses this gap by embedding observability into the network layer itself.
By capturing decrypted packets from the kernel level, the solution restores access to the “ultimate source of truth”: the packets themselves. Unlike traditional telemetry that relies solely on metrics, logs, and traces, KlearSight enables causal analysis, empowering teams to pinpoint root causes rather than symptoms.
This approach reflects a broader industry shift toward packet-based observability, where real traffic data augments or validates telemetry streams. According to ECI Research, 67% of enterprises are expanding observability investments to reduce MTTR and improve AI correlation accuracy across multi-cloud environments. NETSCOUT’s network-first heritage gives it a natural advantage here, especially as encrypted traffic becomes the new norm in distributed architectures.
eBPF as a Force Multiplier for Observability
The adoption of eBPF marks a turning point in the evolution of monitoring technology. By operating inside the Linux kernel, eBPF allows NETSCOUT to capture packets without intrusive agents or heavy instrumentation, providing near-real-time insight into system behavior. This enables low-overhead observability, a critical advantage for organizations managing hundreds or thousands of microservices at scale.
KlearSight’s architecture demonstrates how eBPF-based data extraction can be used not only for diagnostics but also as a foundation for AI-driven performance analytics. By feeding packet-level data into existing AIOps frameworks, enterprises can train models to identify anomaly patterns faster and automate resolution actions. This convergence of eBPF observability and AI governance aligns with trends identified in ECI Research’s Application Modernization Index, which found that 73% of enterprises plan to use AI-enhanced observability to support DevOps and SRE workflows by 2026.
From Monitoring to Meaning
KlearSight reflects a shift from traditional “what happened” monitoring to “why it happened” observability. This distinction matters: modern architectures require more than dashboards. They need contextual intelligence capable of diagnosing cause and effect in complex systems. NETSCOUT’s decades of experience in deep packet inspection and network analytics provides a unique advantage in extending this level of intelligence into Kubernetes.
The company’s approach contrasts with the metric-centric focus of many observability platforms, offering customers a holistic, packet-informed view that complements existing tools like Datadog, Dynatrace, or OpenTelemetry-based pipelines. This hybrid approach helps organizations achieve faster root cause analysis, reduced downtime, and optimized infrastructure spending—critical outcomes as budgets tighten and environments scale.
Building Resilience Through Packet Intelligence
NETSCOUT’s broader mission (to keep the connected world running) aligns closely with enterprise modernization trends emphasizing resilience, performance, and security convergence. By enabling consistent visibility across private, public, and hybrid clouds, KlearSight helps organizations mitigate the operational risks associated with distributed workloads.
Moreover, NETSCOUT’s growing recognition, including leadership placement in the QKS SPARK Matrix for Network Observability and CRN Tech Innovator Award for application performance, reinforces the company’s influence in shaping next-generation observability architectures. The addition of KlearSight to its portfolio strengthens NETSCOUT’s role as a strategic observability partner in the age of AI-driven automation.
Looking Ahead
The introduction of Omnis KlearSight signals a notable advancement in cloud-native observability. As enterprises pursue end-to-end visibility across distributed environments, NETSCOUT’s packet-level intelligence bridges a critical divide between infrastructure monitoring and application insight.
In the coming years, expect the company to integrate KlearSight more deeply into its Omnis and nGenius platforms, embedding eBPF telemetry into AI workflows that automatically identify, predict, and remediate anomalies. This evolution aligns with the broader market shift toward agentic observability, where autonomous systems continuously optimize performance with minimal human intervention.
By combining deep packet visibility, AI-driven diagnostics, and Kubernetes-native integration, NETSCOUT is redefining what it means to see and understand modern cloud performance at scale.
Key Takeaways
- KlearSight redefines Kubernetes observability. The eBPF-powered sensor provides decrypted, real-time insight into interservice communications.
- Packet data delivers root cause clarity. NETSCOUT moves observability from “what” to “why,” enabling faster and more accurate diagnostics.
- AI-ready foundation for modern AIOps. Packet-level telemetry enhances AI training and event correlation accuracy across environments.
- Low-overhead deployment. eBPF enables deep visibility without compromising performance or requiring encryption keys.
- Enterprise resilience through visibility. Unified observability supports reliability and compliance across private and public clouds.
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