Managing Global Settings

Maximum threshold value

Minimum threshold value

When the VNE is using slow polling and CPU usage drops to a regular level (or below the minimum value), Sheer DNA waits for the VNE to drop below the maximum CPU usage threshold value twice (default) and only then does the VNE return to normal polling.

In the example below CPU usage is polled 5 times and it is above the maximum value, so the VNE moves to slow polling. The CPU usage then drops to a regular level (or below the minimum value). The CPU usage is the polled again twice and it is below the maximum value, so the VNE returns to normal polling.

1.CPU usage is polled 5 times (and above the max. value)

Normal polling

2. VNE moves to slow polling

4. VNE returns to normal polling

3. CPU usage is polled twice (and below the max. value)

If CPU usage is high and a slow polling interval is used and the AVM goes down and is then restarted the AVM remembers its previous polling interval and when the AVM is restarted the AVM will make use of the same polling interval that it was using before it went down.

7.5Managing Protection Groups

By default all the Sheer DNA Units in the Sheer DNA Fabric belong to one big cluster, namely, the default-pgprotection group. The administrator can change the default setup of the Sheer DNA Units by customizing protection groups (clusters) and then assigning Sheer DNA Units to these groups.

For more information, refer to the Cisco Active Network Abstraction High Availability User’s Guide.

Sheer DNA Manage enables the user to create new protection groups. The new protection groups that are created can then be used when defining a Sheer DNA Unit. For more information, refer to page 71.

Cisco Systems, Inc.

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Cisco Systems 3.5 manual Managing Protection Groups

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.