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    Product Information

    Automation and programmability: The QFX5700 supports several network automation features for plug-and-play operations, including zero-touch provisioning (ZTP), Network Configuration Protocol (NETCONF), Juniper Extension Toolkit (JET), Junos telemetry interface, operations and event scripts, automation rollback, and Python scripting.

    Cloud-level scale and performance: The QFX5700 supports best-in-class cloud-scale L2/L3 deployments with a low latency of 630 ns and superior scale and performance. This includes L2 support for 160,000 MAC addresses and Address Resolution Protocol (ARP) learning, which scales up to 64,000 entries at 500 frames per second. It also includes L3 support for 1.24 million longest prefix match (LPM) routes and 160,000 host routes on IPv4. Additionally, the QFX5700 supports 610,000 LPM routes and 80,000 host routes on IPv6, 128-way equal- cost multipath (ECMP) routes, and a filter that supports 80,000 ingress and 18,000 egress exactly match filtering rules. The QFX5700 supports up to 128 link aggregation groups, 4096 VLANs, and Jumbo frames of 9216 bytes. Junos OS Evolved provides configurable options through a CLI, enabling each QFX5700 to be optimized for different deployment scenarios.

    VXLAN overlays: The QFX5700 is capable of both L2 and L3 gateway services. Customers can deploy overlay networks to provide L2 adjacencies for applications over L3 fabrics. The overlay networks use VXLAN in the data plane and EVPN or Open vSwitch Database (OVSDB) for programming the overlays, which can operate without a controller or be orchestrated with an SDN controller.

    IEEE 1588 PTP Boundary Clock with Hardware Timestamping*: IEEE 1588 PTP transparent/boundary clock is supported on QFX5700, enabling accurate and precise sub-microsecond timing information in today’s data center networks. In addition, the QFX5700 supports hardware timestamping; timestamps in Precision Time Protocol (PTP) packets are captured and inserted by an onboard field-programmable gate array (FPGA) on the switch at the physical (PHY) level.

    QFX5700
    QFX5700
    QFX5700

    Data packet timestamping: When the optional data packet timestamping feature is enabled, select packets flowing through the QFX5700 are timestamped with references to the recovered PTP clock. When these packets are received by nodes in the network, the timestamping information can be mirrored onto monitoring tools to identify network bottlenecks that cause latency. This analysis can also be used for legal and compliance purposes in institutions such as financial trading, video streaming, and research establishments.


    RoCEv2: As a switch capable of transporting data as well as storage traffic over Ethernet, the QFX5700 provides an IEEE data center bridging (DCB) converged network between servers with disaggregated flash storage arrays or an NVMe-enabled storage-area network (SAN). The QFX5700 offers a full-featured DCB implementation that provides strong monitoring capabilities on the top- of-rack switch for SAN and LAN administration teams to maintain clear separation of management. The RDMA over Converged Ethernet version 2 (RoCEv2) transit switch functionality, including priority-based flow control (PFC) and Data Center Bridging Capability Exchange (DCBX), are included as part of the default software.

    Junos Evolved features: The QFX5700 switch supports features such as L2/L3 unicast, EVPN-VXLAN, BGP add- path, RoCEv2 and congestion management, multicast, 128- way ECMP, dynamic load balancing capabilities, enhanced firewall capabilities, and monitoring.


    Junos OS Evolved Architecture: Junos OS Evolved is a native Linux operating system that incorporates a modular design of independent functional components and enables individual components to be upgraded independently while the system remains operational. Component failures are localized to the specific component involved and can be corrected by upgrading and restarting that specific component without having to bring down the entire device. The switches control and data plane processes can run in parallel, maximizing CPU utilization, providing support for containerization, and enabling application deployment using LXC or Docker.

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