Contrail Insights Description

Contrail Insights provides operators with the means to manage and visualize the utilization of infrastructure resources by workloads while facilitating capacity planning to maintain application performance. By leveraging Contrail Insights, operators in software-defined data centers gain access to a comprehensive set of tools that enhance visibility into both operational performance and infrastructure resources. In the context of extensive multicloud networks, it is essential for operations teams to have both real-time and historical insights into their infrastructure to guarantee service reliability and reduce operational expenses. Typically, cloud infrastructure is structured in multiple abstraction layers, and as automation in operations grows, performance monitoring becomes the primary activity, replacing manual interventions. Nevertheless, as the volume of telemetry data expands and abstraction layers are systematically analyzed to troubleshoot network infrastructure, the complexity of monitoring simultaneously escalates, creating new challenges for operators. This shift necessitates a more sophisticated approach to data analysis to manage the intricate ecosystem of cloud resources effectively.

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Company Details

Company:
Juniper Networks
Year Founded:
1996
Headquarters:
United States
Website:
www.juniper.net/documentation/product/us/en/contrail-insights/

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Product Details

Platforms
Web-Based
Types of Training
Not Offered
Customer Support
Online Support

Contrail Insights Features and Options

Cloud Management Software

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Container Management Software

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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