Cloudinary vs. Google Compute Engine

Cloudinary handles pretty much anything you have related to images. From serving them up efficiently to adding transformations on the fly, there's really little this service doesn't do. Their pricing plans allow you to grow into the right levels and their website dashboards are very helpful. I would easily recommend this for all but the simplest of use cases.

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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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• Cloudinary is the best in the market for photo and video transformations.
• Cloudinary takes customer's requests for special features and implements them very quickly.

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• 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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• Their API does require URLs that can get quite lengthy and not always easy to parse on sight.
• Documentation on how transformations work and what they actually do to your image could be clearer (what does force_strip actually mean?).
• Although a free tier exists and is quite generous, should you need to acquire a premium plan for your needs the pricing at scale can climb quickly.

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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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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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Cloudinary is very easy to use and offers fast way to upload your images, files and videos to their servers. Then they give you quick ways t implement those files or images onto your website using their API or just a normal URL. They also give you very fast ways to make edits to those files and include them in the url.

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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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We rarely use their support. But when we need it they are always there. They provide great consultation and suggestions to help us manage our costs and resources better. In the last 8 years perhaps we have contacted them 3 or 4 times - which is really really great

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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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Cloudinary seemed to be the most sophisticated with the most documentation and platform support. Other solutions seemed to be a lot harder to implement, however, due to the good documentation and API samples on their GitHub we were able to implement it nicely. Additionally, they have a lot of really well-known brands using them like Wired, Sky News, and eBay which gave us a lot of confidence that this was a good robust solution to use and to help others with

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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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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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• Images are essential to our product and using Cloudinary has allowed us to serve them up in a cost-effective and efficient way. Not having to worry about your images frees you up to tackle the real challenges for your product.

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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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