Paragon Automation Datasheet

Paragon Automation provides a Day 1 and 2 orchestration design application that centers on intent—making intentions reality. During device onboarding, the operator can rely on Paragon Automation to automate the process. The intent model for device onboarding orchestration design makes the process elegantly simple and efficient. By reducing the number of steps required and providing intuitive guidance through the process, automation simplifies onboarding new devices and future updates.

Field technicians initiate secure, automated device onboarding after the intents are designed and configuration templates are created. The technician signs on to the field technician application to trigger Paragon Automation specifically for that device. Paragon Automation images the latest software, performs secure zero touch configuration and provisioning, checks device health and network performance, and updates inventory so that devices are fully ready for service in minutes.

Meanwhile, at the backend, network operation center (NOC) engineers have full oversight on every onboarding activity happening across the network. Thanks to Paragon Automation, engineering and operation teams are in sync with the network state in real time. After the field technician completes the work order, the network is ready for Day 1 and 2 operations.

Intent-based service orchestration enables accelerated, error-free definition, deployment, and management of the network services that run on customer-managed transport networks by leveraging best practice model-based designs and automated intent-based service provisioning and orchestration. Paragon Automation includes a purpose-built orchestration engine for this purpose. 

Each category of service is provided in the form of a standardized and user-configurable model, including placement and transformation rules. The user only needs to define the Customer Service Intent, and Paragon automates the entire service creation process from there with a shared workflow engine. This includes defining the network service instance(s), identifying/assigning network resources, committing and verifying device configurations, and creating service monitoring dashboards that process the data plane and device telemetry as needed to visualize performance and trigger remediations to maintain the stated intent.

Alongside the standard service categories that come with the solution, Paragon Automation is designed to simplify the creation of custom service models by leveraging widely used templating and modeling languages (YANG modeling language, JINJA templating language, JQ/JSON based placement and transformation rules).

Paragon Automation enables automated, consistent, and reliable network trust and compliance by continuously verifying, confirming, and quantifying the trust status of your network, providing prioritized recommendations to enhance your network’s trustworthiness (for example, with software updates or reconfigurations). It measures the risk of integrity impairment and overall trust posture by automatically evaluating hardware and software component integrity versus vulnerabilities identified in SIRT advisories. It assesses compliance against standards and specifications defined by the NIST.

Paragon Automation provides an intuitive user interface with easy-to-use dashboards, alarms, and notifications on actionable integrity impairments; a network trust score; trust score graphs; and more. This information helps maintain your network integrity end-to-end. Key features and functionality are:

• Trust score calculation based on prerequisite, variable, and reputational factors
• Integration with compliance standards, vulnerability assessments, and more
• Comparative analysis and benchmarking of devices based on trust scores
• Visual representation of trust and compliance scores using graphs and indicators

With a network trust score, you gain a quantifiable measurement that indicates the level of compliance with rules defined in a benchmark document applied to your network.

Network engineers rely on the comprehensive observability dashboard from Juniper Paragon Automation to visualize network health over time across multiple dimensions, including hardware, OS, interfaces, and routing. Combined with AI/ML-driven detection of KPI anomalies and complex events such as blackholes and aggregated health scores, this provides the operator with the ability to quickly detect, prioritize, and investigate issues.

By providing the most relevant, highest priority information first, Juniper Paragon Automation simplifies day-to-day visualization and troubleshooting, avoiding the need to sift through a high volume of events and alerts.

Intuitive, interactive dashboards enable the user to quickly drill down from the aggregate view down to the individual KPI while providing simple to understand information about ongoing issues and how to resolve them.

Paragon Automation’s Active assurance use case works by measuring what matters directly: end-to-end service quality. It does this by automating software-based test agents deployed throughout the network to actively send and receive synthetic L2 through L7 traffic on the data plane to simulate an end user. With active assurance, you can continuously measure one-way delay and jitter on the end-to-end customer service and within each of the network segments supporting a service. This allows you to pinpoint potential issues in the service delivery. Network operators can then continually and automatically validate performance against objectives. They can detect when customer services do not meet guaranteed performance levels, better locate problems, troubleshoot them, and take corrective actions before experience is impacted.

Active assurance accurately measures the delivery of user intent. So, in combination with the intent-based service orchestration engine and network observability, it provides detailed, actionable insights that empower operators to implement informed preventative and remedial actions.

Intent-Based Network Optimization enables the repeatable provisioning of network connections according to user-defined criteria, as well as closed-loop automation by recalculating and reallocating network paths (LSPs) in response to triggers (such as elapsed time, KPI threshold crossings, or external events). The use case allows the separation of highly skilled connectivity design tasks from day-to-day network operations, with engineers designing network intent profiles and maintaining version control, and operations teams provisioning and managing instances of those profiles (allocated to specific services) in-life.

Intent-Based Network Optimization with Juniper Paragon Automation consists of two distinct categories of functionality: profile design and instance management.

Profile design provides the capabilities required to design specific intent and optimization profiles. These profiles specify the criteria and constraints to which the intent should conform and the conditions when the network paths supporting services should be recalculated. Alongside intent profiles and optimization profiles, the user can assign devices in the network to groups (for example, aligned to their roles or to the customers they support).

Operators can leverage their existing LLM investments to enable chat-based investigation and troubleshooting. Juniper Paragon Automation provides function calls with detailed descriptions that customers’ LLMs can run when responding to user prompts. Combining these function calls with a huge corpus of publicly available networking documentation lets users quickly investigate ongoing network and service issues, along with possible root causes and recommendations for further investigation, mitigation, and resolution.

LLM Connector provides the flexibility to leverage a range of well-established LLMs that can be self-hosted. It aligns with customers’ data security and privacy policies, ensuring that no data leaves their environment.

With a single carefully crafted prompt, users can trigger multiple function calls as part of a single response, automating a complex multi-step analysis in a matter of seconds.

Please contact your Juniper Networks sales representative for ordering information.

Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-Native Networking Platform is built from the ground up to leverage AI to deliver the best and most secure user experiences from the edge to the data center and cloud. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn, and Facebook.

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