Google Compute Engine vs. Nextcloud

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 a SOHO business, this solution is ideal. You don't need to administrative overhead of other products like GSuite, and it saves licensing costs. The maintenance effort is minimal as long as you use their default applications. Migrations to newer versions can be done with a few commands and run automatically. If you're planning on using Nextcloud in large deployments with many users, you'll start to see higher costs on your resources and maintenance. There will be a point at which Gsuite becomes easier to manage.

• 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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• Remote collaboration platform with just the right tools.
• Ease of access from any device, anywhere.
• Solid templates for development teams to collaborate without distraction.

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• 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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• Slow in comparison to other solutions
• May be complex for the start since there are lots of apps and features
• May be not focusing on core topics

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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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It's easy to use and easy to maintain. It also provides many useful programs and plugins to make work even more productive; just check what's available and how you could use them to your advantage. Also, check the Nextcloud Files app on your phone, which makes everything available at the touch of your fingers.

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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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I never needed support as everything always worked fine. The documentation on Nextcloud website is extensive and clear. The community is very active on the forum and should support you if you don't already find what you are looking for.

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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Nextcloud stacks up pretty well against Mattermost and ownCloud. I really appreciate the fact that Nextcloud seems to integrate with other products pretty seamlessly and allows for extensibility that our product team can extend and improve functionality without a tremendous ramp-up time. We once used ownCloud in previous years, but they went the wrong way, and have found Nextcloud to be the right direction over time.

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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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• It allowed us access to our files from any device over the internet.
• It helped manage and organize our file sharing with third parties.
• It provided a secure wrapper for accessing files.