In the rapidly evolving landscape of networking technologies, Juniper Networks has emerged as a leader, continually pushing the boundaries of innovation. At the forefront of their cutting-edge solutions is Juniper Mist AI Cloud—a sophisticated platform seamlessly integrating artificial intelligence into wireless LAN environments. This transformative technology optimizes network performance and revolutionizes how organizations manage, troubleshoot, and enhance user experiences within their wireless infrastructures. With Juniper Mist AI Cloud, organizations can deploy a secure and reliable wireless network that is easy to manage and cost-effective.
The platform also features an intuitive graphical user interface, enabling users to quickly access vital operational functions with the click of a button. This simple workflow dramatically simplifies complex network operations, allowing administrators to customize settings based on their needs. Additionally, the platform boasts powerful analytics capabilities, providing real-time insights into performance data and advanced visibility into customer usage trends.
Juniper has a complete client-to-cloud enterprise solution that encompasses the elements shown in the above picture, which ultimately delivers the best IT and user experiences. Juniper’s Experience-First Networking has the following components: AI-driven enterprise, which includes wired and wireless access, and season-smart SD-WAN driven by Juniper Mist AI and automated WAN solutions for linking different offices and data center facilities with reliable connectivity. And the cloud-ready data center for scalable connectivity and simplified underlay-overlay management with assurance. We’ve mentioned Juniper MIST AI here. So, what is Juniper Mist AI? How is it different? How is it better than the competitors? What values is it offering? Let’s begin to get the answers to these questions one by one.
First, a little bit of history. We know that the world has changed. Networks have changed so much over the last 30+ years. They’ve changed drastically, but the access networks have mostly remained unchanged. If we look at the history of wireless technology, wi-fi was standardized in IEEE 802.11. Various standards initially— 82.11A, 82.11B were in around 1997. This was known as the wi-fi first generation or generation 1. At this time, different vendors, with the intel processors, etc., put these wireless adapters into laptops to allow these devices to connect to other access points. Between 2003 and 2007, there was quite a lot of activity, both from a vendor point of view and a standards point of view. There were different standards released throughout these five or so years.
Why is this Juniper Mist AI important? Because if you look at the timeline in the above picture, you’ll see that Cisco, Meraki, Ruckus, Airspace, and Aruba solutions were developed before the things that did happen. So, by nature, they are legacy. But at their core, they are just controllers.
Steve Jobs once said, “You can’t look at the competition and say you’ll do it better. You must look at the competition and say you will do it differently.” With that in mind, MIST was created 2016 by the above people, with funding from Cisco and Google Investments. If we look at Juniper Mist AI compared to Cisco or Aruba, we aren’t looking at faster processing, faster buffers, more controllers being connected, or doing the same things better; instead, we’re looking at doing completely different things. How? Let’s see.
Mist vs. Competitors
From an architectural point of view, the above picture portrays the differences between Juniper Mist AI and other vendors. MIST is a cloud-based microservice solution. What do these words mean? If you look at Assurance, Management, Sensors, Location, RRM, etc., these microservices create the Juniper MIST AI in the cloud. Why does that matter? Because, in conventional solutions, if any of its components are down, the whole system is down. But in Juniper MIST, even if any of these microservices are taken down from the cloud, the solution will remain available 24/7. Because of this architecture, MIST is incredibly agile. MIST can deliver updates, features, and enhancements every week. MIST can keep up with rapid changes.
Let’s precisely compare this to other solutions. There are typically access points, controllers of the access points, which may be standalone or lightweight, and a certain number of controllers based on their specs. They may have proprietary tunneling protocols to and from the APs, where users get locked into different vendors. Then, there may be mobility masters controlling the mobility controllers and some add-ons. So, if you look at these, they need to be unified and thus complicated. But Juniper Mist AI is everything in the same cloud.
MIST can deliver weekly updates without downtime and 100% API support, driven by microservices architecture. Also, AI is the heart of MIST, as it’s in the solution’s core. With AIOps, MIST can deliver MARVIS, an AI-driven system that allows operators and administration teams to provide operations by proactively identifying network events.
Support for Marvis
Marvis is a virtual network assistant that uses MIST to transform how IT teams interact with enterprise networks. With natural language processing (NLP), a Conversational Assistant, prescriptive actions, Self-Driving Network operations, and integrated help desk functions, Marvis streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, and SD-WAN domains. It can deliver up to 90% fewer trouble tickets, uses a natural language interface, allows client-level network view, and serves actionable recommendations. It identifies the root cause of network issues across WLAN, LAN, WAN, and security domains. “Marvis Actions” can manage firmware upgrades, add missing VLANs, identify wrong cables, find negotiation mismatches, ID congested WAN circuits, and get practical recommendations for resolving issues with third-party connected systems.
Juniper Mist AI powers Wi-Fi Assurance, a machine-learning-driven cloud service. In addition to offering a unique insight into user service levels, it substitutes laborious human troubleshooting activities with automated wireless operations, making Wi-Fi predictable, dependable, and quantifiable. Configure and monitor pre- and post-connection parameters or critical wireless criteria, such as throughput, capacity, coverage, and connect time. Anomaly detection creates network information by automatically capturing packets for event correlation and utilizing radio resource management (RRM) at the client level.
Also, what makes it unique is the cloud-based dynamic packet capture. When the system detects a severe problem, such as an authorization failure, it can capture packets from the Juniper Mist AI cloud architecture for debugging purposes. When a significant problem is troubleshooting, such as an authentication failure, access to packet capture from the scalable Juniper Mist Cloud Architecture is good. This skill enables identifying a problem’s core cause quickly and simply. It also removes the need to pay for dispatching professionals with sniffers to the scene.
Juniper Mist Wired Assurance brings cloud management and Mist AI to campus fabrics. Shifting campus deployment towards AI-driven operations raises the bar for network management and enables connected devices to have better experiences. While Mist AI streamlines operations and enhances insight into related device performance, Juniper Mist AI Cloud simplifies campus fabric deployment and administration.
It provides simple switch provisioning, minimizing onboarding errors, saving time, and streamlining efficiencies. And enables the creation of consistent, streamlined configurations and universal templates and profiles from the cloud, quickly building and managing campus fabric architectures with a few clicks based on intent. It also provides 100% open and programmable APIs.
MIST Premium Analytics is a cloud-based subscription service that provides end-to-end network observability and business intelligence to IT networking and line-of-business users. It is the only service to offer long-term data storage for full-stack network and location insights.
Its simple dashboards provide networking teams with client-to-cloud visibility, allowing them to design their IT infrastructure, manage resources, and promptly detect and resolve issues. Experts in vertical sectors, including retail, healthcare, hospitality, and education, can analyze visitor behavior in real time, including visits, dwell times, and zone movements. Facilities managers may get information to manage assets, occupancy, and space optimization.
The Juniper Mist AI User Engagement cloud subscription service uses Virtual BLE (vBLE) array technology and cloud-based machine learning to drive down deployment costs and improve the accuracy of real-time indoor location services, from wayfinding to location-based proximity notifications. The unique vBLE technology now makes implementing and growing indoor location services simple, providing previously unheard-of precision and agility.
With an accuracy of up to 1 meter, real-time wayfinding helps employees, guests, and customers get to where they need to be with turn-by-turn directions and subsecond latency. Also, proximity notifications and alerts let the user greet patients, clients, or customers as they arrive on-site.
Juniper Mist AI can use in every aspect of day 0, day 1, and so on. We can activate various APs and EX Series switches with a single click. APs can be online in a matter of seconds. All we need is a smartphone with its camera on; scan the QR code on the back of the AP, and that’s it. Users can immediately connect to the AP, and the administration can start analyzing the AP. Also, we can set thresholds for different service level expectations, whether wired, wireless, or WAN. We can put actual points and monitor different service level expectations in real-time while providing anomaly detection.