Amazon Elastic Compute Cloud (EC2) vs. Google Compute Engine

I think nowadays, Amazon EC2 is best-suited for most app development and deployment use cases, especially if your resource requirements are not fixed over a long period of time. The flexibility provided by the on-demand pricing and rescaling option makes Amazon EC2 a great service, especially if your tech stack already runs on AWS. On the other hand, I think Amazon EC2 is not the best option if your tech infrastructure runs on another public cloud.

Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.

Incentivized

• A great variety of choices in Amazon Machine Image (AMI) types. Users can select a more basic type to run generic workloads, but also have the choice to pick an AMI pre-installed with specific services in the AWS Marketplace.
• The range of instance types can support the usage from a student's exploration (inexpensive general-purpose nano instances) to an enterprise's most intense workloads (memory or storage-optimized instances with terabytes of memory and ultra-fast network connection).
• The pricing options, from regular instances, reserved instances to spot instances allow users to get the job done and make smart choices about how much they want to pay and when they want to pay.

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

• This service is a bit difficult to consume. New users need a big learning curve to use this service effectively.
• UI for EC2 service is a little complex and at many places, it misses detailed explanation.
• Sometimes it takes too long to create images of EC2 instances. This keeps your EC2 up for that extra time. When instances are heavy, it penalizes a lot of money.

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

Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.

Incentivized

Amazon Elastic Compute Cloud (EC2) allows various ways of gaining incidents, such as slow growth, money, and the reserved ones, mostly depend entirely on the necessity, because it makes highly intelligent choices possible at these times, which enable considerable cost savings whilst addressing the situation as best I like.

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

The Google Compute Engine is constantly up, healthy, and available. I have never experienced any issues with it loading or functioning.Since it is accessible everywhere in the world, it is always available with low latency for all regions.However, I have occasionally seen problems with various NoSQL databases' availability, such as MongoDB, in terms of speed.Overall though, it's always accessible.

Incentivized

Google Compute Engine's performance is up to the standard and I don't really have any complain about that. But website itself does not load quickly and there is a very noticeable delay when the website loads. And no, our system did not our slow down when we integrated Google Compute Engine in our system.

AWS's support is good overall. Not outstanding, but better than average. We have had very little reason to engage with AWS support but in our limited experience, the staff has been knowledgeable, timely and helpful. The only negative is actually initiating a service request can be a bit of a pain.

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

Azure VM and Google Compute Engine are alternatives to EC2. AWS EC2 is most matures and advanced of the 3. All these provide easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.

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

• AWS has had a very positive return on investment for every client we have that uses it. They are saving money in the long run.
• AWS includes the underlying operating system licenses with their EC2 instances so no longer do we have to navigate through Microsoft licensing headache.
• EC2 allows us to easily create a golden image of servers and store them as AMIs. This makes spinning up new servers that need a particular set of software in the future extremely easy and cost-effective.

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