Multi-cloud management, MSP

NETSCOUT Extends Packet-Level Observability into Kubernetes and Multi-Cloud Environments

Only a few observability tools can tell when and why something breaks. NETSCOUT’s new Omnis KlearSight Sensor for Kubernetes now delivers packet-level visibility across encrypted, containerized environments where traditional monitoring often falls short.

As organizations scale out Kubernetes across hybrid and multi-cloud architectures, visibility has become one of the most persistent operational challenges. Metrics and logs only go so far when the underlying traffic is encrypted or distributed across multiple clusters. Troubleshooting often feels like trying to reconstruct a puzzle with missing pieces - and that’s where NETSCOUT believes KlearSight can redefine what’s possible in observability.

Closing the Visibility Gap in Kubernetes

Eileen Haggerty, Area Vice President, Product and Solutions Marketing at NETSCOUT told ChannelE2E, "There has been dramatic market growth in container orchestration and Kubernetes adoption. While Kubernetes provides powerful automation and scaling capabilities, it’s also difficult to understand troubleshooting, security, and AIOps issues without in-depth details. This makes observability crucial in Kubernetes.”

That complexity has created a clear need for packet-based visibility that extends across on-premises, hybrid, and multi-cloud environments. Haggerty explained that this is exactly where the Omnis KlearSight Sensor steps in: “Until recently, hybrid and multi-cloud Kubernetes environments were a blind spot for many organizations. By extending visibility into Kubernetes containers with the Omnis KlearSight Sensor, NETSCOUT is delivering a new standard in cloud observability - what we call Visibility Without Borders - that helps IT teams pinpoint the true root cause of issues across the entire communications path.”

In practice, KlearSight acts like a virtual TAP inside the Kubernetes environment. It monitors traffic to and from any containerized network function or node interface and automatically adapts to topology changes as they occur. The sensor merges captured packet data with context-aware metadata, feeding NETSCOUT’s nGeniusONE platform with rich, real-time insights for deeper analysis. By capturing packets and SSL messages already decrypted by the Linux kernel and converting them into standard IT traffic, KlearSight allows visibility into application-level communications, without touching encryption keys.

For teams that have long struggled to see inside Kubernetes clusters, this kind of visibility is a turning point. It bridges the data gap between microservices and the infrastructure they depend on, giving NetOps, SecOps, and AIOps teams a shared foundation for understanding not just what happened, but why it did.

From Enterprise Control to Managed Observability

While the Omnis KlearSight Sensor was built primarily for enterprises, Haggerty noted that its design also benefits partners and managed service providers. “Although not specifically designed for managed observability, KlearSight can be deployed across both enterprise and service provider environments,” she said. “For enterprises, it helps developers detect regressions or misconfigurations early, assists DevOps teams with performance tuning and SLA assurance, and gives NetOps visibility to quickly resolve issues. For service providers, where scale and multi-tenancy introduce added complexity, it allows them to monitor per-tenant traffic patterns, isolate faults, and enforce policies dynamically.”

That adaptability matters as MSPs and enterprise teams face increasing demand for service-level transparency. KlearSight’s packet-level data provides a reliable source of truth across distributed systems, whether used to detect application regressions, optimize workloads, or maintain compliance with performance and security SLAs.

As organizations continue to move toward AI-driven operations, NETSCOUT sees KlearSight’s role expanding even further. “The Omnis KlearSight Sensor monitors traffic to and from any containerized function and forwards that data to our InfiniStreamNG, vSTREAMs, or Omnis AI Sensor,” Haggerty explained. “From there, NETSCOUT’s ASI technology converts raw packets into Smart Data for insights and visualization in nGeniusONE and Omnis AI Insights. This strengthens automation, accelerates root-cause analysis, and enables AIOps use cases that depend on reliable, packet-based visibility.”

By embedding packet intelligence into AIOps workflows, KlearSight brings much-needed precision to automation, allowing IT and SecOps teams to move beyond symptom chasing and toward proactive, evidence-based responses.

Suparna Chawla Bhasin

Suparna is the Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E. She manages content development, sharpens editorial workflows, and ensures storytelling is tightly aligned with audience needs. With a background in technology, media, and education, she combines strategic insight with creative execution.

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