The DOCA Flow Inspector runs inside its own Kubernetes pod on BlueField and is designed to receive mirrored packets for analysis. These packets are parsed and sent in a predefined structure to a telemetry collector, which manages the telemetry aspects. The Flow Inspector operates on top of the Data Plan Development Kit (DPDK) to acquire Layer 4 (L4) data. The packets are filtered based on the ports configured in the JSON input file. The non-filtered packets are parsed into a predefined structure and forwarded to the telemetry collector using Inter-Process Communication (IPC).

Features

• Real-time Data Monitoring: The service monitors real-time data and extracts telemetry components, which can be utilized by various services for security, big data, and other telemetry-based services.
• Kubernetes Integration: The DOCA Flow Inspector runs inside a Kubernetes pod on BlueField, ensuring seamless integration within Kubernetes environments.
• Packet Filtering: The service filters packets based on the ports configured in the JSON input file, ensuring that only relevant data is processed.
• Telemetry Collection: Parsed packets are forwarded to a telemetry collector using IPC, which manages the telemetry aspects.
• DPDK Integration: Utilizes the Data Plan Development Kit (DPDK) for acquiring L4 data, enhancing the efficiency of data processing.

Benefits

• Enhanced Security: Provides detailed telemetry data for security analysis, helping organizations to identify and mitigate potential threats.
• Scalability: Easily scalable within Kubernetes environments, allowing organizations to expand their monitoring capabilities as needed.
• Efficiency: Efficiently filters and processes network packets, ensuring that only relevant data is analyzed.
• Integration: Seamlessly integrates with existing telemetry systems, providing a comprehensive solution for data monitoring and analysis.