Data center monitoring continues to get more complex with more infrastructure abstractions, services, and software that are stacked up to construct cloud-native applications. Juniper’s Contrail Insights, which is the newest addition of Contrail Enterprise Multicloud solution cuts through layers of infrastructure to improve operational speed, experience, and reliability by providing historical and real-time visibility. The company aims to make data center monitoring easier.
Software-defined networking solution
In addition to this, with its single pane of glass integrating analytics, a seamless user experience with deep insight and visibility into data center network overlay-underlay correlation and multi-tenant resource usage are available.
Juniper Networks states the New Contrail Insights features and benefits as real-time and chronological visibility, troubleshooting analysis and overlay and underlay correlation. According to the release of Juniper Networks, the details of new Contrail Insights are below:
- Real-Time and Chronological Visibility: Powered by machine learning-fed historical data and real-time streaming telemetry, Contrail Insights offers service-level and fine-grained observability for data center infrastructure. From overlay and underlay networks to physical and virtual servers and their workloads. The new data center topology heatmap is intuitive, configurable, and allows operators to see the entire data center and then drill in to easily inspect localized issues.
- Troubleshooting Analysis: To find issues like hotspots, microbursts, monopolized resources, and noisy neighbors in a multi-tenant or shared private cloud environment, Contrail Insights has a new top-N or “top talkers” query engine with tabular and chart views. Coupled with drill-down query filtering and a tie-in to topological pathfinding, these Contrail Insights diagnostics enable engineers to mitigate issues like network congestion and resource contention proactively.
- Overlay and Underlay Correlation: The overlay-underlay correlation and pathfinding features allow operators to uncover root cause by mapping virtual infrastructure for workloads and network abstractions down upon the physical infrastructure and network. In data center underlay physical networks, where overlay traffic is typically load-balanced across the fabric, Contrail Insights pathfinding features illuminate the topology heatmap to pinpoint problems during troubleshooting and solve formerly elusive issues quickly.
Bikash Koley, Chief Technology Officer, Juniper Networks:
We are excited to offer customers a comprehensive Contrail solution with the addition of Contrail Insights. Cloud frameworks within data centers have provided tremendous infrastructure automation, but also bring about added operational complexity. We have designed Contrail Insights to bring visibility to troubleshooting and analytics issues faced today with powerful tools for discovery and analysis through all layers of the network.
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