Fastly Edge Cloud Platform vs. Google Compute Engine

The service is really well-suited for pretty much any site that is primarily display-driven (that is, mostly GET requests). The network is able to handle massive volumes of traffic and their POPs have spread out pretty much anywhere that it's easy to get them (so basically everywhere but China and Russia). My team witnessed several large-scale attack attempts on some high-profile websites (attacks in the 10s of millions of requests per second) that were mitigated before ever coming back to the actual application; in one case we didn't realize the attack had happened until we looked at the logs the next day. Because it's a cache store option, the default configuration does not cache POST responses, and it can be difficult to set up things like authenticated paywalls as a result.

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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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• Very performant and fast -- major companies have drastically reduced page load times with Fastly's edge technology.
• Support for many types of media, including video.
• Image add-on makes serving and manipulating images very simple.

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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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• WAF is hard to configure.
• No comprehensive rate limiting without a pricey upgrade.
• Account access controls are extremely limited.

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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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Fastly Edge Cloud Platform is a powerful tool with robust capabilities, but it requires deep technical knowledge to integrate effectively into existing applications. While its performance and features are excellent, the lack of a user-friendly interface and the need for advanced configuration can make it challenging for teams without experienced developers.

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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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It’s the fastest and most configurable.

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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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• Fastly dramatically reduces load times for clients all over the world thanks to their global system of POPs.
• Fastly is a cost-effective choice when a highly-performant CDN is required and makes it simple to support data that is quickly invalidated.

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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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