Jupyter Notebook vs. LogicMonitor

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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For environments that mostly use VMs and baremetal devices, LogicMonitor is a fantastic choice. It lends itself especially well to situations where you want individual teams to be able to manage the monitoring and observability of their own domains, and if you take the time to customize it to your environment in the frontend, you can get to the point where your LogicMonitor platform administrators are very rarely needed.

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• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

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• It shows us system issues right away so we can fix them fast.
• It finds new devices on its own, so we do not miss anything.
• It alerts us only when something really unusual happens.
• Its dashboards make it easy for everyone to see system health.
• It helps us see trends so we are ready for busy times.

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• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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• Segmentation at an instance level not just the resource when clients are sharing the same device but shouldn't see each other's relevant data
• ARM CPU support for collectors to allow for a lighter weight appliance deployment
• WMI collection with a Linux collector so a windows collector would not be needed or a virtual appliance template that can be used to deploy collectors

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This product has met virtually all of our needs. It was easy to implement and has been simple to support. Customization has been intuitive with many options available. They keep adding features and expanding available options. The future of LogicMonitor looks even better than it is today which is very promising. The management and support teams at LogicMonitor are always helpful

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Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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Set up is super easy. Just stand up a small Linux or Windows server to act as a collector. There are no agents to install on monitored devices and all you need is SNMP or WMI access. When creating dashboards, all you have to do is find the widget on the device you want to show up and choose the menu option to add it.

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I haven't had a need to contact support. However, all required help is out there in public forums.

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The sales team support we received was top notch. They worked hand in hand to make sure the product met all expectations. So far we have not really had to work with support that much; we have worked with setup team after purchase to deploy product fully. No issues so far and we are four weeks in.

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Add good training

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The training is good but room to improve

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The implementation experience was awesome for me, as the LogicMonitor team was really helpful to us. They installed everything on our primary server and provided clear, intelligible explanations. They even trained our non-tech team on it as well. Therefore, my team and I had a very simple and pleasurable implementation experience.

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With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

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Our business used the trial period they provided on one of our systems and conducted sessions with all of this software. Our team tested all of these software options before deciding on LogicMonitor, as our business is expanding daily and we needed a system that could accommodate our growing workforce and automatically add systems to our network, which LogicMonitor alone provided.

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Invited by TrustRadius (TR) on Vendor's Behalf

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Pricing seems to be getting more and more aggressive, I worry that it's going to turn into ServiceNow or SAP and everything minor feature will be an extreme cost that prices out us and our customers

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Haven't really used it but our initial onboarding PS was disappointing. Felt like we were being told what we needed to cover as opposed to what we wanted to cover. In addition, we were pushed into using the PS in tight time frames and we were not ready to do so.

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• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

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• We Eliminated an on-prem monitoring tool which was in excess of 25 servers
• A decrease in time to response from our Network Operations Center resulted in a more consistent client experience
• Dynamic alert thresholds helped reduce alerting by about 10 to 15% as soon as we turned it on for volatile metrics like CPU and memory

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Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info