Amazon EC2 Auto Scaling helps users maintain application availability and allows users to automatically add or remove EC2 instances according to definable conditions.
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Google App Engine
Score 9.2 out of 10
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Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Pricing
Amazon EC2 Auto Scaling
Google App Engine
Editions & Modules
No answers on this topic
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Amazon EC2 Auto Scaling
Google App Engine
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon EC2 Auto Scaling
Google App Engine
Features
Amazon EC2 Auto Scaling
Google App Engine
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
[Amazon EC2 Auto Scaling] is simple to set up and pretty self-explanatory. Never had issues around scaling up or down. [Now] we won't need to guess the capacity for our apps or services. The both scaling, up and down is simply perfect, you can actually stop checking every time for resources because this tool takes care of everything
Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.
Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
Usability is good since we already know how AWS works. For those that are new it might be a little bit confusing at the beginning but they are improving it at a fast pace. Even though AWS keeps changing the user interface constantly, it is still powerful, understandable and easy to use. For technical people, they still offer the CLI.
Google App Engine is very intuitive. It has the common programming language most would use. Google is a dependable name and I have not had issues with their servers being down....ever. You can safely use their service and store your data on their servers without worrying about downtime or loss of data.
The platform works as is. The help and tutorials on the help page can help you to setup the entire platform without problems, and also provides help on a huge variety of problems. Amazon also provides support plans. We have the basic support plan, but Amazon offers three support tiers, and we know that it works perfect.
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
The operating system, CPU, RAM, and storage may be constructed in any configuration and readily altered after the build. The most important factor is the "sense of security."Problems may arise once every several years, but there is a significant difference when discussing how to cope with hardware problems in the local age.
App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.
We will devote more time to development than server administration, but we will require additional time if you migrate from another ecosystem.
Fault detection and reporting are automated in the old server, and bandwidth is fixed per month, but everything is manageable automatically. We only pay for the resources we use.
After some months, we met our return on investment (ROI).