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The support quality needs improvement, particularly in terms of reachability and response time after the merger.
Tutorials are available so I can manage any issue with PRTG Network Monitor easily.
The setup process is well-documented, making it easy to deploy.
I would rate scalability at nine out of ten.
In terms of scalability, Mist AI and Cloud is scalable.
PRTG Network Monitor has the ability to scale and add new devices.
On a scale of one to ten, scalability is rated as 9.5.
For less than one hundred devices, it is stable.
Mist AI and Cloud is stable, and I would rate its stability as eight out of ten.
Since the merger or integration between Mist AI and Cloud and HP, it has affected service quality negatively.
From a Juniper perspective, there is a need for further improvements in the SRX and the given solution area.
PRTG Network Monitor can sometimes be too detailed and cluttered at the beginning, making it heavy to use.
PRTG Network Monitor should provide syslog monitoring since it is not available at this time.
They need to improve application performance monitoring, error tracing mechanisms, and log management.
Compared with other solutions, Mist AI and Cloud is not that expensive and is considered moderate in pricing.
It's not too high, nor too low, but it's reasonable.
The prices are very high for PRTG Network Monitor.
Pricing is by the number of devices, not by sensor.
The AI-driven automation, like Mist, assists the network manager and operation manager in troubleshooting the wireless network by identifying signal issues and offering timely assistance.
Mist AI and Cloud's orchestration is beneficial for troubleshooting and proactive analysis, offering proactive solutions before issues arise.
PRTG Network Monitor already provided me with 100 free sensors, which is enough for my network monitoring.
It is advantageous because it can be deployed on-premises.
PRTG Network Monitor is easy to set up. Within a few minutes, it is operational.
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains.
Data is ingested from numerous sources, including Juniper Mist Access Points, Switches, Session Smart Routers, and Firewalls for end-to-end insight into user experiences. These devices work in concert with Mist AI to optimize user experiences from client-to-cloud, including automated event correlation, root cause identification, Self-Driving Network™ operations, network assurance, proactive anomaly detection, and more.
Juniper also leverages Mist AI for next-generation customer support. It is the foundational element behind Marvis, the industry’s first AI-driven Virtual Network Assistant, which provides extensive insight and guidance to IT staff via a natural language conversational interface.
With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
PRTG Network Monitor runs on a Windows machine within your network, collecting various statistics from the machines, software, and devices which you designate. PRTG comes with an easy-to-use web interface with point-and-click configuration. You can easily share data from it with non-technical colleagues and customers, including via live graphs and custom reports. This will let you plan for network expansion, see what applications are using most of your connection, and make sure that no one is hogging the entire network just to torrent videos.
To monitor a large IT environment, it's important to be able to scale PRTG up. Paessler PRTG Enterprise Monitor includes all the proven capabilities of PRTG Network Monitor, which are enhanced by exclusive ITOps Board for a service-oriented, central overview of multiple PRTG servers.
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