Google Compute Engine vs. SolarWinds Serv-U

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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For anyone who needs to receive/send files between themselves and others, in an organized fashion, I would strongly recommend Serv-U as a great tool at a sensible cost. In our line of work, we can get several customers signed in at once, each sending in hundreds of Megabytes of data simultaneously. Serv-U has never struggled with this. We don't use the Quota set up for sending/receiving data but I can see it is useful where an exchange of information is the point.

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• The Wizard allows us to create new user accounts very easily and quickly. We do not have a formal IT department so those of us "mere mortals" can use this easily.
• Using the Web Client has made it very simple to set up and instruct our customers on getting to the server from any device with a minimum of fuss. We have many customers with ESL, and school students including middle and high school. Most of them are not computer experts, just regular users so the simplicity allows to do the whole setup over the phone in minutes.
• The newer version of Serv-U does not appear to be very resource-hungry so our computer runs nice and fast, without having to be a top of the range powerbox. We concentrated on large storage to cope with the file sizes we receive daily.

• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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• The user interface on large screens becomes tiny and nearly unreadable without the aid of Windows Magnifier.
• Active Directory integration is either absent or not straightforward.
• Settings and configuration aren't always intuitive.

Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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Support was the biggest hurdle for us. It definitely needs improvement, but not to the point of being a deal breaker.

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Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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Previously we have used FileZilla and Microsoft FTP services, but neither out-performed Serv-U. although it was easy to use, FileZilla required constant attention from IT staff and did not live up to security protocol in place. The Windows Server FTP was difficult to configure for clients due to the tight integration with Active Directory. This also limited who could help administer the server.

It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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• I have been using it for over 10 years so the ROI was there for sure.
• It is not a constant attention needing program.
• Set up and it does its job.