Managing Global Settings

7.4.4Deleting a Polling Group

Sheer DNA Manage enables the user to delete polling groups.

To delete a polling group

1.Select the Global Settings branch in the Sheer DNA Manage window’s Tree pane and choose the Polling Groups sub-branch. The Polling Groups are displayed in Polling Groups table in the Workspace.

2.Right-click on the required polling group in the Polling Group table in the Workspace to display the shortcut menu, and select Delete. A warning message is displayed.

3.Click Yes. A confirmation message is displayed.

4.Click OK. The polling group is deleted from the Polling Group table. Note: You cannot delete a Polling Group being used by another VNE.

7.4.5Adaptive Polling

VNEs implement adaptive polling ensuring that the element is not overloaded in addition to defined polling intervals. Checking the device CPU usage, may defer specific polls in order to avoid an additional load on the managed element.

When a VNE exceeds the maximum CPU usage threshold value an alarm is sent and the VNE is automatically transferred to a slow polling interval, namely, the VNE is polled less regularly.

When the CPU usage threshold values for the VNE fall below the clear threshold value then an alarm is sent and the VNE returns to normal polling.

The values for any VNE can be customized through the system registry, for example, the minimum and maximum CPU usage threshold values. When the defined values are reached an alarm is sent. A clear value can also be defined so that when the CPU usage threshold value drops below the maximum value or rises above the minimum value a message is sent clearing the original alarm. These values are defined in the Registry.

Cisco Systems, Inc.

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Cisco Systems 3.5 manual Deleting a Polling Group, Adaptive Polling, To delete a polling group

3.5 specifications

Cisco Systems 3.5 is an advanced version of Cisco's renowned networking and security solutions. This iteration showcases significant enhancements in performance, scalability, and security, making it a preferred choice for enterprises aiming to optimize their network operations and bolster their cybersecurity posture.

One of the main features of Cisco Systems 3.5 is its enhanced network automation capabilities. Automation streamlines network management, allowing organizations to apply consistent policies across their infrastructure while minimizing human error. This version employs advanced algorithms and machine learning to predict and rectify network issues proactively. With automation tools, network administrators can configure, monitor, and troubleshoot their networks with unprecedented efficiency.

Another notable characteristic of Cisco Systems 3.5 is its integration of artificial intelligence and machine learning into networking processes. The incorporation of AI enhances decision-making by analyzing vast amounts of network data, identifying patterns, and offering insights that help ensure optimal performance. This predictive analytics capability allows organizations to predict potential disruptions before they impact operations.

Security is a major focus in Cisco Systems 3.5. The platform introduces advanced threat detection and response systems that utilize deep learning to identify and mitigate emerging threats in real-time. Enhanced encryption protocols ensure that data transmitted over the network remains secure, protecting sensitive information from cyber threats. The integrated security features ensure compliance with various regulatory standards, a crucial requirement for businesses across multiple sectors.

The platforms' support for Software-Defined Networking (SDN) allows for dynamic resource allocation and traffic management. This flexibility enables organizations to adjust their network resources quickly in response to changing demands, leading to improved efficiency and reduced operational costs. Cisco Systems 3.5 also supports multicloud environments, facilitating seamless integration with cloud services such as AWS, Google Cloud, and Microsoft Azure.

Moreover, Cisco Systems 3.5 offers robust telemetry features, providing detailed real-time insights into network performance and health. This data-driven approach allows organizations to make informed decisions regarding capacity planning and resource optimization.

In summary, Cisco Systems 3.5 combines cutting-edge technologies such as AI, machine learning, and SDN to deliver a comprehensive networking solution. With its focus on automation, enhanced security, and multicloud support, this version is well-suited for modern enterprises looking to enhance their network infrastructure and security measures. As organizations continue to evolve in a digital-centric world, Cisco Systems 3.5 stands out as a critical tool to achieve connectivity and security goals effectively.