Kubernetes vs. SurveyMonkey

K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.

Incentivized

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SurveyMonkey is well suited for external, professional, client-facing forms and complex question types. I've tried generating forms on HubSpot, and it's not nearly as intuitive or clean-looking, and not all question types are supported (e.g. Likert scales). For quick, internal forms that don't need to be as pretty or professional, I find that Google Forms is the quickest and easiest to pull together, especially since it has a single, universal respondent link. If I wanted to embed a link in a mass email, SurveyMonkey doesn't allow multiple respondents to use the same link on my plan.

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• Complex cluster management can be done with simple commands with strong authentication and authorization schemes
• Exhaustive documentation and open community smoothens the learning process
• As a user a few concepts like pod, deployment and service are sufficient to go a long way

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• Keeps identifiable information anonymous.
• Being able to close the survey at a set time without having to remember to do so.
• Takes the guess work out of response collecting.
• Makes it easy to categorize responses within the same survey. Being able to add tags to open-ended questions makes it easy for us to identify patterns in responses.
• An array of survey options and questions.
• An all around great product that meets multiple needs.
• Can have multiple collectors for the same survey to included manual input.

• Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
• The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
• Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.

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• I would like to have more customizable options for branding it to our hospital colors. Some survey options allow you to enter html color codes. SurveyMonkey allows you to change colors and you have to pick from selected options.
• Embedding the surveys into a webpage, like WordPress is not as seamless as other services.

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The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.

Compared to other competitors in the market (including a few I've used internally), if you're looking for a survey application, this one does the job and it's quite inexpensive too. Considering the fact that it comes with a handy mobile application too (on iOS and Android), you also get flexibility thrown in the deal too.

It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself

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It does everything a survey software should do, and it does it very well. I can't speak for how well it would work for a business that was surveying tens of thousands of people - but for a small business of 50 employees with a couple of thousand clients, it does everything it needs to do.

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still to many limitations for more complex surveys --skips, filtered questions, etc.

I've never had to contact the SurveyMonkey customer care team directly, but they have a pretty good library of help articles on their website. Everything from designing and executing your survey to account and billing questions. I never had a need for further support from Survey Monkey.

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Implementation not required.

Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.

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SurveyMonkey is easier to customize and provides much more in depth analytics. SurveyMonkey also provides better templates providing us with a better presentation to our employees. SurveyMonkey also comes with a more trustworthy platform that ensures confidentiality, which is incredibly important to our employees and means we're getting more reliable results from the surveys.

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• Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
• Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.

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• The speed at which we can develop, program, execute and generate actual usable results provides significant value, particularly when we need fresh numbers to illustrate a point.
• The fact that we can execute a research project so quickly means that new research is always a primary option when we're developing campaigns. That's a huge value proposition.

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Independently Invited by TrustRadius

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