GigaVUE 6.0, the software powering Gigamon Hawk, democratizes security delivery across networking, security, and cloud operations teams while dramatically reducing cross-platform cost and complexity.
Gigamon Hawk helps IT teams scale up and scale out with confidence, eliminate security and performance blind spots across cloud traffic and unmanaged hosts, and gain application transparency to secure against threats-in-motion across distributed hybrid and multi-cloud infrastructure.
Gigamon Hawk amplifies the power of observability by accessing network traffic at the source, whether virtual, container, or physical, and efficiently aggregates, optimizes and enriches it while serving actionable, network-level intelligence to any tooling, anywhere.
Changing Requirements in a Cloud-First World
According to Flexera, 92 percent of large organizations have embraced a multi-cloud infrastructure strategy. In addition, according to market research firm EMA, 96 percent of large organizations expect to integrate network packet and observability intelligence, with 77 percent planning to use network-level intelligence to fortify hybrid cloud security. Consequently, 81 percent of organizations have experienced a cloud-related security incident in the past year.
A New Frontier: Deep Observability
Today’s release introduces a series of major advancements including:
- Next-Gen Container Network Visibility – GigaVUE now enables the acquisition of container traffic, delivering the industry’s first universal container tap (UCT) solution deployable with any container network interface (CNI) and any container orchestration, powered by the enhanced Berkeley Packet Filter (eBPF) for network-level observability with minimal overhead. Deep observability for security and performance can now follow the workload no matter the ephemerality or scale of container-based micro-services.
- Cloud-Scale Network Telemetry Processing – The new GigaVUE-HC1 Plus visibility appliance, an underlying component of Gigamon Hawk, delivers twice the pipeline processing performance in half the physical footprint and power requirements, compared to the previous generation. This purpose-built appliance can efficiently and economically process network telemetry by aggregating telemetry from physical, virtual, and/or container workloads, including telemetry from public cloud workloads.