Deep Observability Pipeline

Network observability is the ability to analyze network traffic in real time using network-derived telemetry across hybrid and multi-cloud environments. It provides visibility into east-west, north-south, and encrypted traffic, helping security and operations teams detect threats, troubleshoot issues, and optimize performance.

Deep observability extends traditional observability by delivering network-derived telemetry, including packets, flows, and application metadata, to security, observability, and monitoring tools. This adds the network context needed to detect hidden threats, resolve performance issues, validate compliance, and reduce the cost and complexity of securing and managing hybrid cloud infrastructure.

Zero Trust depends on continuous verification of all users, devices, and communications. Logs and endpoint data alone cannot fully capture how systems communicate across the network. Network-derived telemetry provides the visibility and context needed to enforce Zero Trust policies, detect lateral movement, and identify threats in real time.

The Gigamon Deep Observability Pipeline enables organizations to:

• Gain comprehensive network visibility across hybrid cloud environments, including east-west, north-south, and encrypted traffic
• Deliver network-derived telemetry that adds context to security and observability tools for faster threat detection and issue resolution
• Extend consistent security and compliance across on-premises and cloud infrastructure
• Improve tool efficiency by filtering and optimizing traffic to reduce noise, cost, and complexity
• Provide high-quality data to support advanced analytics and AI-driven security operations

Yes. Request a demo to see how the Gigamon Deep Observability Pipeline delivers network-derived telemetry for real-time visibility across hybrid environments, helping detect threats, optimize performance, and reduce cost and complexity.

The Gigamon Deep Observability Pipeline improves cybersecurity by efficiently delivering network-derived telemetry across hybrid and multi-cloud environments, providing visibility into east-west, north-south, and encrypted traffic. This added network context enables security tools to detect hidden threats, including lateral movement and encrypted attacks, that logs alone can miss. By enriching security and observability platforms with network context, it strengthens threat detection, investigation, and response.

Yes. The Gigamon Deep Observability Pipeline provides continuous visibility into network traffic during cloud migrations, delivering network-derived telemetry that helps teams detect threats, validate configurations, and optimize performance in real time. This reduces disruption and enables faster, more controlled migrations across hybrid cloud environments.

Gigamon supports infrastructure monitoring by delivering high-fidelity, network-derived telemetry from across hybrid cloud infrastructure. The Gigamon Deep Observability Pipeline helps infrastructure, cloud, and operations teams understand service availability, traffic behavior, latency, packet loss, connection health, and application communication patterns. This complements traditional host-, metric-, and log-based monitoring tools by giving teams a more complete view of what is happening across the network.

Yes. The Gigamon Deep Observability Pipeline helps to reduce tool costs by filtering and optimizing network traffic before it reaches security and observability tools. By delivering only relevant network-derived telemetry, it lowers data ingestion, storage, and processing costs while improving overall tool performance and efficiency.

The Gigamon Deep Observability Pipeline delivers real-time network-derived telemetry and enriched metadata that help organizations improve AI-driven analysis, identify AI-related traffic patterns, strengthen security, and optimize hybrid cloud operations.

Network-derived telemetry provides real-time visibility into traffic in motion across hybrid cloud infrastructure. It complements metric, event, log, and trace data with network-level context that improves threat detection, performance analysis, compliance validation, and operational efficiency.