Open Networking Enterprise Suite (ONES)
✨ Introduction & Overview
🌐 Open Networking Enterprise Suite (ONES) is a comprehensive Network Orchestration, Visibility, and Assurance platform designed for multi-vendor, multi-NOS network infrastructures.
ONES empowers enterprises with a single, unified solution that delivers:
🔍 End-to-end visibility into datacenter networks
🕒 24x7 SONiC support to ensure reliability and uptime
📊 A powerful analytics engine that proactively identifies issues, accelerates troubleshooting, and minimizes disruptions
With ONES, organizations can: 🚀 Streamline operations 🛡️ Enhance network resilience ⚡ Achieve faster time-to-resolution for anomalies
Transforming complex network management into a simplified, intelligent experience. 🌟
🚀 Smarter Device Onboarding & Real-time Insights with ONES
ONES simplifies network management with seamless device onboarding and continuous telemetry collection:
🔎 Auto-Discovery for SONiC devices
📑 YAML / CSV-based templates for adding non-SONiC devices
Once onboarded, ONES continuously streams telemetry data to deliver actionable insights into:
🗂️ Data Center Inventory
🌐 Network State
⚙️ Platform & System Health
📈 Control & Data Plane Utilization
🚦 Traffic Utilization
✅ Software Compliance
🤖 AI Fabric Intelligence
🔀 Underlay & Overlay Protocols View
🏢 Spectrum-X Multitenancy Orchestration
With real-time monitoring of critical control and data plane metrics, ONES empowers enterprises to optimize performance, reduce downtime, and simplify operations. ✨
⚡ Rule Engine – Proactive Monitoring & Smart Alerts
The ONES v4.0 Rule Engine empowers data center teams with intelligent, real-time notifications to stay ahead of potential issues.
🛠️ Custom Thresholds: Define your own rules for key metrics.
🚨 Proactive Alerts: Get notified the moment a threshold is breached.
💬 Multi-Channel Notifications:
🔔 Slack App Alerts – instant team collaboration
🎫 Zendesk Support – seamless issue tracking
📝 ServiceNow Ticketing – streamlined incident management
By automating rule-based monitoring, ONES ensures critical components and services are always under watch, enabling faster response times and preventing downtime before it impacts business.
Below are the different types of rule engine metrics for specific Entity/features in a data centre environment
CPU and Memory Utilisation
Fan and PSU LED status
Traffic Bandwidth
ASIC Routes
Health Services
Traffic Errors and Discard Counters
BGP Neighbours flapping notification
Device down status
Link flap status
Device SSD Memory Utilization, Health and Temperature
ROCE Counters
🤖 ONES Orchestration – Simplifying Network Automation
The ONES Orchestration Engine empowers network admins to automate fabric configuration with ease using ready-to-use configuration templates. Whether deploying at scale or fine-tuning critical services, ONES makes complex network setups simple, reliable, and efficient. 🚀
🌐 Key Capabilities:
⚙️ Fabric Automation: Build IP-CLOS fabrics with BGP & BGP-unnumbered
🔗 Advanced Routing: Symmetric/Asymmetric IRB, BGP Peering with PO
🖧 High Availability: L2/L3 MC-LAG, EVPN Multi-Homing
🏗️ Flexible Topologies: Leaf-Spine (L2/L3 Mode), Rack-to-Rack deployments
🔄 Smart BGP Options: Peering over MC-LAG PeerLink, separate MC-LAG links
📊 Telemetry Ready: sFlow, NTP, SNMP, Syslog
🛡️ Data Center Essentials: DHCP Relay, RoCE Config, AI Fabric Config, SAG/SVI
🔄 Operational Efficiency: Incremental updates for L2VNI/L3VNI
💾 Reliability Built-in: Enhanced backup & restore via UI
🌍 API Driven: Seamless Config Replace and enhanced API support
✨ With ONES Orchestration, enterprises can reduce manual effort, minimize errors, and accelerate deployments—all while ensuring high performance, scalability, and automation-first operations.
ONES Orchestration not only automates fabric configuration but also ensures that your network fabric is fully operational by verifying configurations at every stage ✅.
With its intelligent orchestration engine, ONES eliminates manual errors, speeds up deployments, and guarantees reliable fabric operations.
🔗 ONES also provides northbound API access, enabling seamless integration with external orchestration tools for end-to-end automation across your network ecosystem.
👉 The result? Faster rollouts, simplified operations, and complete confidence that your network is always configured right the first time.
🌐 Spectrum-X Visibility & Orchestration with ONES
The NVIDIA Spectrum-X Compute Network Fabric, combined with NVIDIA HGX H100 systems, represents the next-generation AI Cloud architecture—purpose-built to deliver the massive compute performance required for advanced AI workloads in cloud environments. ⚡🤖
With ONES, you get more than just automation: ✅ Deep Telemetry Visibility – Real-time insights into Spectrum-X fabric performance and health. ✅ End-to-End Orchestration – Seamlessly orchestrate the complete fabric based on NVIDIA’s standard design models (SU1, SU2, and beyond). ✅ AI-Ready Fabric – Optimized for scalability, resilience, and performance in large-scale AI deployments.
💡 Together, ONES + NVIDIA Spectrum-X empower enterprises to build and operate AI-driven cloud fabrics with confidence, efficiency, and precision.
Data Lake
A data lake is a centralized repository that allows you to store vast amounts of structured, semi-structured, and unstructured data in its raw format. Unlike traditional data warehouses where data is stored in a structured manner, a data lake retains the data in its native format until it's needed for analysis or processing. ONES provide the capability to store the RAW data of all the Metrics to Cloud and then user will be able to use that RAW data for any deployment or any other use cases.
Here are key components and characteristics of a ONE DL.
Storage of Diverse Data Types: A data lake can store various types of data, including structured data (like relational databases), semi-structured data (like JSON, XML), and unstructured data (like documents, images, videos). This flexibility allows organizations to ingest and store data from different sources without the need for extensive preprocessing.
Scalable and Cost-Effective Storage: Data lakes are typically built on scalable storage systems, such as cloud-based object storage (e.g., Amazon S3, Azure Data Lake Storage) or Splunk . These systems can efficiently handle large volumes of data and offer cost-effective storage solutions.
Schema-on-Read Approach: In contrast to traditional data warehouses that use a schema-on-write approach (where data must be structured and conform to a predefined schema before storage), data lakes adopt a schema-on-read approach. This means that data is stored in its original form, and the schema is applied at the time of data retrieval or analysis. This flexibility allows users to apply different schemas and interpretations to the same dataset based on their analytical needs.
Support for Big Data Processing and Analytics: Data lakes serve as a foundational component for big data analytics and processing. Users can perform various analytics tasks, including exploratory data analysis, data mining, machine learning, and real-time analytics, directly on the data lake. Tools like Apache Spark, Apache Hive, and Presto are commonly used for querying and processing data stored in data lakes.
Support for Data Discovery and Self-Service Analytics: Data lakes enable data discovery and self-service analytics, empowering users to explore and analyze data without extensive dependencies on IT teams. Data scientists, analysts, and business users can access relevant data directly from the data lake, speeding up insights generation and decision-making processes.
In summary, ONE DL provides a flexible and scalable platform for storing, managing, and analyzing diverse data types at scale. By leveraging a schema-on-read approach and supporting various analytics tools, ONE DL facilitate advanced data analytics and enable organizations to derive valuable insights from their data assets. However, proper governance, security, and metadata management are crucial to ensure the usability, reliability, and integrity of data lakes.
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