1. Garland’s high density passive SelectTAP^TM provides 100% packet capture, allowing multiple tapped links to flow from the TAPs to Garland’s PacketMAX^TM Advanced Aggregator.

2. The PacketMAX then aggregates, load balance, filter, and distrib ute the tapped traffic.

3. The aggregated traffic enters the ExtraHop Reveal(x) stream proce ssor, which performs out-ofband decryption at line rate, protocol decoding, and full-stream reassembly at up to 100Gbps of throughput.

Integration Benefits

When extracting and analyzing data from an ethernet storage center, obtaining deep, granular network visibility is crucial to reduce risk, reduce cost, and optimize performance. Virtana’s Virtual Wisdom Appliance provides ethernet storage environments to support transaction processing needs. Feeding data at 40g through Garland Technology’s purpose-built passive TAPs for complete packet capture, a copy of the network traffic is delivered to the Advanced Feature sequentially load balancing and filtering the data to the Virtana NAS Probe.

 Virtana, a company focused on providing customers with the industry’s most robust AI-powered hybrid IT infrastructure management platforms for mission-critical workloads. Underscoring this commitment to helping enterprises manage their complex multi-cloud environments, today Virtana introduced CloudWisdom, a SaaS-based cloud cost optimization and monitoring platform. CloudWisdom helps customers plan, analyze and optimize their cloud workloads, services and resources. The company has advanced its business model to include self-service SaaS and downloadable trial versions of its solutions. For more information, please visit: Virtana

Key Capabilities

• Proactive manage insights and metrics via personalized dashboards for each level of the organization.
• Improve collaboration with unified, full-stack and visibility - Break down silos and collaborate across teams with deep visibility across all network, application layers and infrastructures.
• Full visibility across on-premise data centers, private, public (AWS, Azure, Google), or multi-cloud environments.
• Reduce network downtime, improve reliability, reduce costs and gain better device utilization by spreading the load data across multiple tools.
• Native scale and proactively optimize an infrastructure with monitoring data to forecast storage port capacity, detect multipathing issues and provide depth setting for the host.
• Capacity management to align applications dynamically and optimize workload behavior and network performance.
• Enable automated recommendations to leverage workload balancing, simplify problem remediation, and maintain smooth operations.
• Leverage powerful AI-based analytics for deeper and more real-time data to drive better decision-making.