Azure NetApp Files vs. Google Compute Engine

For us, with Azure NetApp Files, the ease of use has been big. We have an operations organization where ease of use is key--also it simplifies migration to the cloud. Azure NetApp Files eliminates a common cloud-first barrier by creating the right infrastructure environment for agencies' resources, budgets, and skillsets. We would like to be able to version the files that are coming in. So, if a file is accidentally deleted, there should have a recycle bin option where we can go back and, at least once, clean it up. They could probably improve the versioning and other advanced features. The replication is not available in all the Azure Availability Zones.

Incentivized

It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.

Incentivized

• We have found that it scales very well. In some cases we had a large existing storage infrastructure and were able to migrate it while other times we started from scratch with low storage demands and Azure NetApp Files fit the bill each time.
• We have been impressed with the replication capabailities.
• The read and write speed when interacting with files is a major asset.

Incentivized

• A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
• Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
• Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
• Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.

Incentivized

• Backup/files versioning still needs to be improved
• Netapp/Storage administrators may need some time to adapt managing it through Azure Portal interface, it can be really confusing sometimes
• Reporting/data intelligence solutions would be a great addition

Incentivized

• The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
• It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
• Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.

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

Google Compute Engine usually delivers good and predictable performance for our self-hosted stack of applications. However, when running n8n heavy workflows, even with a tunned instance configuration in docker, performance usually peaks usually due to memory usage. We often need to upgrade memory when we have heavier data processing and workflows. Other than that, in a normal usage, we don't really have any problems

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

We tried the same with Azure File Share (Azure Storage Account), but it has a really small limit (5TB per share). It didnt fulfilled our requirements, as we have some on-prem shares with 60+TB each, still to be migrated. We have also evaluated a different approach, which is Komprise archiving solution, to archive older files to Azure BLOBS and free up some space on the on-prem storages to accomodate new data.

Incentivized

When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.

Incentivized

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

Incentivized

• The main hurdle in promoting this solution is the price. Its price definitely requires an improvement. It is more expensive than other options, so customers go for a cheaper option.
• Its security and ease of use are most valuable.
• It is stable and scalable.

Incentivized

• Scalability means flexibility and less upfront costs
• Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
• Ramp up time is long, but after that it is quick to do many things and ROI is awesome

Incentivized