Identify the Problem: Suspected issue related to DHCP latency while troubleshooting a wireless client.

Understanding SLEs:

Capacity: Related to the number of clients and bandwidth.

Time to Connect: Measures the time taken for clients to connect, including DHCP latency.

Throughput: Measures the data transfer rate.

Coverage: Measures the signal strength and coverage area.

Selecting the Appropriate SLE:

Time to Connect is the relevant SLE as it includes metrics on DHCP latency, which affects the connection time.

Review the SLE:

Analyze the Time to Connect SLE to identify any latency issues with DHCP.

References:

Mist Documentation on SLEs: Mist Documentation

Claim Codes: Claim codes are unique to each AP and can be used to claim only one AP at a time. This ensures each device is correctly registered and managed individually within the Mist system.

Activation Codes: Activation codes can be used to claim multiple APs at once, facilitating bulk onboarding and simplifying the setup process for large deployments.

References:

Juniper Mist Claim and Activation Codes

Mist Setup Guide

For capacity, coverage, and throughput Service Level Expectations (SLEs) in Mist AI, throughput is measured in Mbps. This unit measures the rate at which data is successfully delivered over the wireless network, providing a clear indication of network performance and user experience. Mist AI tracks these metrics to ensure the network meets the required performance standards.

References:

Wireless Throughput SLE

Service Level Expectations (SLE)

Mist Administrative Logins: Mist administrative logins can utilize Single Sign-On (SSO), allowing administrators to log in using their corporate credentials, enhancing security and ease of access.

Guest User Access: Guest user access cannot use SSO, as SSO is intended for internal users and administrators rather than external guest users who access the network.

References:

Mist SSO Configuration Guide

SSO Integration Overview

Real-time Assessment: Juniper Mist's Radio Resource Management (RRM) builds the channel plan based on real-time network assessments. It dynamically adjusts to changing conditions in the RF environment, ensuring optimal performance by continuously monitoring factors such as interference, client distribution, and usage patterns.

Automatic Tuning: RRM tuning happens automatically. Mist AI leverages reinforcement learning to continually optimize RF settings without manual intervention, adjusting channels, power levels, and other parameters in real-time to maintain optimal network performance.

References:

Understanding Radio Resource Management | Juniper Networks

Radio Management | Mist | Juniper Networks

Coverage Hole: Marvis Actions can identify coverage holes where the wireless signal is weak or absent, indicating potential areas that need additional access points or adjustments.

Health Check Failed: This action indicates that the health check, which monitors the performance and connectivity of an access point, has failed, suggesting issues that need to be addressed.

References:

Juniper Networks Documentation

When creating a label to be applied to a WLAN template in Mist AI, you should create the label at thesite level. This is because WLAN templates are designed to be associated with specific sites or site groups, allowing you to customize WLAN configurations per site. Creating labels at the site level ensures that these configurations are applied appropriately within the desired site context.

References:

Mist AI Documentation

Juniper Networks Site Groups