Mirantis Kubernetes Engine vs. ThingWorx

[Mirantis Cloud Native Suite (Docker Enterprise)] is the most advanced tool till now, which works as a VMs
and separates any single application from the dependencies. Also, this tool is
helping me in the agile development of the processes. It is strongly recommended to
almost all major organizations.

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It is well suited for situations where you require an end-to-end platform for pushing code and managing data and security of the IoT application. However, it is not well suited for the case when you want to scale the app up to many users and this requires more from the part of the product.

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• Containers - Docker is the go-to when using Containers, which are super useful if you need an environment that works both for Windows and Linux
• Efficiency - Docker is very lightweight and doesn't demand too much from your CPU or server
• CI/CD - Docker is excellent for plumbing into your build pipeline. It integrates nicely, is reliable, and has an easy set up.

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• Asset Monitoring - quick and easy to deploy, can connect to the plant floor and get real-time data from devices.
• Analytics - The TWX Analytics extension has a variety of analyses that can be done into any data source input into TWX.
• Alerts notification - you can program alerts to be sent via email/SMS seamlessly.

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• Containers are often opaque - if a container doesn't work out of the box, it's messy to fix.
• Logging is complexified by the multiple containers and logs are often not piped to places you expect them to be.
• Networking is complexified due to internal port mapping between containers, etc.

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• Advanced functionality in control and data visualization often requires additional coding from the user.
• Support and tutorials provided are often lacking in detail or are not readily transferable.
• Mashup development works poorly on small monitors or laptops.

We started more than a year ago and do not plan to replace it

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Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.

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The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.

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Experienced and knowledgeable customer support executives, Thingworx is a very large product and contains a myriad of features which is not easy to remember without enough training or hands-on experience

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We've used XAMPP, PHPmyAdmin and similar local environments (our app is on PHP). Because of how easy you can change the configuration of libraries on PHP and versions (which is SO painful on XAMPP or other friendly LAMP local servers) we are using Docker right now. Also, being sure that the environment is exactly the same makes things easier for developing.

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Well-suited - multiple streams from many data sources, highly scalable application scenarios.Good for a quick test of internet of things (IoT) connectivity and for deploying access via the web. Smooth deployment, easy to couple to devices. Easy cooperation with Splunk, which we use also.

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• Docker has made it possible for us to deploy code faster, increasing the productivity of our development teams.
• Docker has made it possible for us to decentralize our build and release system. This means that teams can deploy on their own schedule and our dev ops team can concentrate on building better tools rather than deploying for the teams
• Docker has allowed us to virtualize our entire development process and made it much simpler to build out new data centers. This, in turn, is significantly increasing our ROI by providing a path forward for internationalization.

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• Good for quick deployment of customer specific control of IoT
• Good for quick test of IoT platform
• Difficult to debug complicate system

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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. More Info