Google Compute Engine vs. Huawei Cloud Network Virtual Private Cloud (VPC) vs. VMware NSX

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.

Incentivized

I honestly believe that it is well suited for companies, whose sole requirement is robust accessibility. Since the training part for admin takes a lot of time, I feel that it might not be suitable for small companies who are still looking to grow. Also, the product sometimes faces scaling issues and I feel like it might not be appropriate for smaller companies as they might look to expand in the future.

Incentivized

With proper design, VMware NSX can and should be deployed to virtually any VMware virtualization environment, but the deployment should be tailored to the needs of that environment. There isn't really a one size fits all deployment design for all environments. That versatility is what provides its greatest strength to a business.

Incentivized

• 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

Incentivized

• Isolated private networks on the cloud
• Two-way migration feature
• Flexible network deployment

Incentivized

• End to end encryption on the wire.
• Micro-segmentation.
• Integrates well with existing VMWare environment.
• Integrates well with our existing network.

Incentivized

• 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.

Incentivized

• It's a little tricky to use, you will need training for maintenance
• UI can be changed a bit in order to make it more user-friendly
• Sometimes has scaling issues

Incentivized

• Interoperability in multi-vendor environments
• Advanced networking and packet acceleration options can be improved

Incentivized

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.

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

• 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.

Incentivized

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.

Incentivized

I'd like to point out that Huawei Cloud Network Virtual Private Cloud (VPC) is very simple to use and operate, and we can easily perform operations on it using the documents that are available on its support site. We can easily download the documents from the site, which are very useful for doing any configuration on the cloud and for operations.The security level is very good; enabling traffic and defining security rules is extremely simple utilizing their cloud portal in GUI form, which makes it simple to use, and the performance is also good; they provide a variety of solutions to meet customer needs.

Incentivized

We use both Cisco ACI and VMware NSX, and while they have different strengths and capabilities, I would recommend VMware NSX, as it can be used in all VMware environments, without costly physical infrastructure changes. Cisco ACI provides some of the same capabilities, but not all. It's focus relies on physical networking changes.

Incentivized

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

Incentivized

• 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.

Incentivized

• Solved a huge issue of accessibility from different geographical zones
• Since it was cheaper than the current one, this business decision did save some costs
• Helped solving concurrent transaction saving issues

Incentivized

• Ability to move workloads more easily with the ability to stretch/move networks across multiple physical locations.
• The added flexibility allows you to expedite tech refreshes since you're no longer constrained by the hardware.

Incentivized