Google App Engine vs. IBM Cloud Block Storage

App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.

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IBM Cloud Block Storage is recommendable to companies that [have a database that] is super sensitive, private, and requires instant access. Further, IBM Cloud Block Storage creates a coordinated system, that [classifies] data, based on the requirements that a company has. The security deployment from IBM Cloud Block Storage is another merit that [businesses] attain.

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• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

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• Proficient scaling and system customization, which allows editing.
• Wide range of system storage, ranging from 25GB to 12000GB.
• Finally, IBM Cloud Block Storage deploys the most technical and efficient security measures.

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• There is a slight learning curve to getting used to code on Google App Engine.
• Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
• Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)

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• The documentation must be clearer and updated, thinking about each distribution that they offer in the cloud
• Downtime when IOPS are raised can be less
• The configuration can be more automated from the same control panel and not have to take it so much to the CLI

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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.

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I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster

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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.

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We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.

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Unlike the above platforms, IBM Cloud Block Storage enable secure and quick big data migration through its secure environment and the flexibility of its Cloud options is effective. Data analytics through IBM Cloud Block Storage are easily prepared and the data access is very easy and the ability to monitor various Cloud operations is excellent.

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• Effective employee adoption through ease of use.
• Effective integration to other java based frameworks.
• Time to market is very quick. Build, test, deploy and use.
• The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.

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• Scale the storage when needed to get better performance.
• Taking snapshot so we can do easy recovery if necessary.
• We can choose different locations so they are closer to our consumers.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info