With in-service software upgrades (ISSU), network operators can update software on a live system without a network-impacting system reboot. The advanced high-availability features of SR OS enable resilient IP network architectures. These capabilities ensure that routing and related protocols are not affected if the control plane fails. Its real-time, modular and fault-tolerant design provides clear separation of the control and forwarding planes as well as non-stop routing capabilities. We built SR OS to meet the reliability demands of a highly-available IP/MPLS environment. It can also jeopardize critical infrastructure operations, causing interruptions that could drive up costs or put people’s lives at risk.

When network connections and traffic flows run at multi-gigabit speeds, a small disruption can impact thousands of end users and lead to customer dissatisfaction and contractual penalties.

Reliability is critical in high-performance IP networks. SDN control applications such as the Nokia Network Services Platform (NSP) can use this intelligence for network flow optimization, defense and troubleshooting.

Big data analytics applications such as Nokia Deepfield can convert this information into actionable intelligence. Our SR OS-based IP routing platforms use advanced push-based telemetry models to stream flow-level data and insights in near-real time. SR OS supports standards-based carrier SDN controllers and orchestration software through open APIs and protocols such as OpenFlow, Border Gateway Protocol - Link State (BGP-LS) and Path Computation Element Communications Protocol (PCEP). The Network Configuration Protocol (NETCONF) interface, gRPC Network Management Interface (gNMI) and model-driven command line interface (MD-CLI) leverage the YANG models to provide a set of model-driven management interfaces with a common human- and machine-readable configuration syntax.

Our SR OS YANG models address this need with a comprehensive set of configuration and state data models designed for automation. Evolution towards open software systems is driving the need for model-based programmability and automation.

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