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Understanding Cloud Analytics Engine and Network Director


Juniper Networks Cloud Analytics Engine uses network data analysis to improve the performance and availability of mission-critical applications.

By conducting coordinated, end-to-end data collection, analysis, correlation, and visualization operations, Cloud Analytics Engine helps network teams understand how workloads and applications behave across physical and virtual infrastructures. A single, integrated analytics solution designed for Juniper-based networks, Cloud Analytics Engine provides visibility into all devices within a network’s physical and virtual layers.

A Cloud Analytics Engine agent resides on end hosts, which may be either physical devices or virtual machines. The agent collects end-to-end network and application performance data, correlating it between physical and virtual layers to deliver a single, integrated view. This application-centric insight simplifies troubleshooting by providing the context needed to determine whether a problem originates from an application or the network.

The data also helps quickly identify and isolate congestion hot spots, detect micro-bursts, and clarify which physical and virtual paths are being used to migrate workloads. In short, the Cloud Analytics Engine offers critical visibility and insight into network operations, reducing costs associated with resource utilization and network downtime.

Based on Juniper Networks Junos operating system and available as a Junos OS functionality, the Cloud Analytics Engine is an open solution that supports RESTful APIs for third-party integration with any standards-based database used to process real-time network performance data. The Cloud Analytics Engine is also designed to support third-party network devices.

Network Director uses Cloud Analytics Engine to support the following features:

  • Data Correlation—The Cloud Analytics Engine gathers and correlates data from multiple sources, including physical and virtual endpoints, providing visibility for troubleshooting, application deployment, and capacity planning.

  • Application Perspective—By offering visibility into how the network is performing from an application perspective, the Cloud Analytics Engine makes it easier to triage performance problems and determine whether they originated in the network or an application.

  • End-to-End Aggregated View—Providing end-to-end visibility into both the network and applications, the Cloud Analytics Engine aggregates views to help IT staff quickly identify the root cause of problems.

  • Simplified Operations and Troubleshooting—The Cloud Analytics Engine enables IT staff to be more productive and proactive by helping them quickly perform root cause analysis when network or application problems occur.

  • Flexible and Open—The Cloud Analytics Engine partner ecosystem is continuously evolving, providing support for third-party tools and other devices through plug-ins and APIs.

  • Reduced Costs—By helping detect, identify, and isolate network faults, the Cloud Analytics Engine reduces the amount of time and money spent troubleshooting and fixing network or application problems.