Choosing between Google Cloud Flexible or Standard Environment - google-app-engine

I'm starting to build a web/mobile app that is going to be offered as SaaS.
I have seen many cloud options for hosting (Heroku, AWS) but finally decided to go with Google Cloud App Engine.
My back-end will be Java based, and I'm confused about going with the Standard or Flexible Env.
I have read several docs online but still undecided.
Considerations to tackle:
I am not very experienced with Docker and this is my first Saas App.
My app should run perfectly with the offering of the Standard Env.
Migrating from the Standard to the Flex environment seems to bring
some headache.
Would you please help me decide on the way to?

We try to cover the key differences in this doc:
https://cloud.google.com/appengine/docs/the-appengine-environments
To cover your considerations:
You don't need to understand Docker to use flex or standard
If your app can run in Standard - that's great!
Migrating from Standard to Flex is a fair bit of work. We try to cover it here
Read over those docs, and let me know if you have any other questions!

Related

How can the Google Cloud Datastore Emulator verify our datastore-index.xml?

We use the Google Cloud Datastore Emulator. It autogenerates indexes.yaml. But as we did with the old Google Plugin for Eclipse, we want to get missing-index messages in the local development environment, and not later in cloud deployment. So, we want the Emulator to use our manually-maintained datastore-indexes.xml
How do we configure the use of a specific datastore-indexes.xml in the Google Cloud Datastore Emulator? I don't see any relevant command-line switches in the help text.
EDIT:
My answer was based on the dev_appserver emulator, not the current one. After running some tests, it appears that the emulator only has endpoints for a subset of the Datastore API methods, and index building (nor export/import for that matter) are available.
Leaving my previous answer to avoid repeated answers with the same wrong info:
_________
According to the docs, if autoGenerate="false" is in your datastore-indexes.xml, the development server should ignore the contents of WEB-INF/appengine-generated/datastore-indexes-auto.xml.
I think this might be what you're looking for, although I have not yet tested it.

How to quickly update the code on App Engine after its first deployment?

It takes so long to deploy an app to App Engine by this command
gcloud app deploy
After I updated my source code, even if it's just one line of change, I had to issue this command again to upload the changes to App Engine. Again it will take a long time to deploy for just one line of code change. Is there a way to quickly update the code on App Engine instead of doing this time consuming deploy again?
I am looking for options that can speed up the code update after it's first deployment to App Engine. Since I am using flex, would using standard make it faster to update the code? Is it true that there is no way around it on App Engine and the only way to do it is to use another service such as Compute Engine?
Yes, standard env app deployment in such context is much faster, because it only involves uploading the modified files and restarting the instances.
But using standard env is often not an option for other reasons. The potential duplicate post I referenced contains itself references to both explanations and suggestions for potential speed improvements. I don't see a point in duplicating them.
The most common reasons for choosing flex env:
language support
restrictions of the standard env sandbox
See also: Google App Engine Standard or Flexible environment?
(Sep 2021): First of all, the issue you describe for App Engine (flexible) does not apply to App Engine (standard), which is almost a completely different product. (For those who are new, here is a comparison b/w both products.) This question is a few years old, and there are a few more options available to you now:
App Engine standard: If your app can run in Python 3.7+, Java 11, Go 1.12+, PHP 7, Node.js 10+, or Ruby 2.5+, then this is the obvious place to go. A deploy should take less than 1 minute.
Cloud Functions: If you don't have an entire app or your app is made up of one function/route or is otherwise short & simple, consider turning it into a microservice for Cloud Functions. Its deployment time is also less than a minute.
Cloud Run: If you're using App Engine flexible because your app is containerized, consider Cloud Run, which runs containers in a serverless way. A big bonus is that a Dockerfile is optional (due to Cloud Buildpacks). It has taken many GAE flexible use cases. Deployment is also less than a minute. If interested, I produced a pair of videos on how to migrate from App Engine standard to Cloud Run, using Docker as well as no Docker. At some point, I'll do one on transitioning from GAE flexible.
App Engine flexible: If none of the options above work, requiring you to stay on GAE flexible, then yes, you'll have to deal with its longer deployment time (due to the complexities of the system and all the resources it needs to spin-up & manage on your behalf). If you have a container and Cloud Run isn't an option, also consider GKE Autopilot or GCE MIGs (managed [VM] instance groups).

Are Cloud Endpoints with Go Google App Engine Standard possible?

I have implemented a simple API in Go on Google App Engine Standard using just:
func init() {
http.HandleFunc("/api/v1/resource",submitResource)
}
Nothing special. However I want to port this code to using Cloud Endpoints instead in order to get the better monitoring and diagnostics.
Is it even possible with STANDARD instances or must I move to FLEXIBLE?
I can't find any documentation on this. Nor answers to this seemingly simple question. At the moment I half wish I had chosen Python because its support seems more mature. I chose Go because it seems more appropriate for API-like code because my minimal research suggested Go offered better performance.
If it is possible, are there any pointers to how please?
Only Python and Java are supported on GAE Standard via the Endpoints Frameworks. However, Go is supported on GAE Flexible.
Here is the Go GAE Flexible sample:
https://github.com/GoogleCloudPlatform/golang-samples/tree/master/endpoints/getting-started
After much research and trial and error, the simple answer is "No." - as of Dec 2016.
The longer answer is it's possible if you want to put far too much effort into making up to date libraries of your own. There is basically no support, even in alpha, for the current Google Cloud Endpoints using Go with Google App Engine Standard.
It's possible to run Go+endpoints on GAE Standard environment, however libraries might be outdated now.
Libraries and sample app can be found on github:
https://github.com/GoogleCloudPlatform/go-endpoints
I have successfully deployed "Greetings" as AppEngine SE app, and it works.

Making a Go Webapp independent of Google App Engine

This question comes from working on my webapp, a feed reader written in Go. The code is available at http://github.com/matthewbauer/rivulet although that should not be necessary to answer the question.
I have a webapp written in Go that is running on Google's App Engine. It uses the usual common App Engine libraries like datastore, memcache, and user.
Is there any way to let my users run this app on their own without breaking App Engine compatibility?
Go now provides build constraints that exclude/include files based on target build platform:
// +build !appengine
So, I know that this is possible. But, my biggest problem is with my libraries that depend on App Engine: datastore, memcache, and user. I know other libraries provide datastore and memcache, and I can implement user on my own, but how would I go about wrapping it up?
I know that I can have them set up a development server with the SDK, but that might be too involved for some users. I want a single executable that normal Go projects provide. IS that possible?
If any examples exist, I haven't found them yet; any examples of App Engine independent webapps would be appreciated. I can learn by example.
You will probably have refactor your code.
The basic rule of thumb will be anywhere you depend on an AppEngine package define your own interface for the way you use it. This will allow you decouple the app from the appengine libraries.
Once you've defined those interfaces then you can start providing alternatives that satisfy the interfaces. You'll be able to plugin any Datastore or Memcache that satisfies the interfaces and your app will be able to both run on appengine or as a standalone with the alternatives.

Is it possible to deploy ColdFusion code on Google App Engine for Java?

Since ColdFusion is itself Java-based, I would imagine it's not too much of a stretch to suggest that CFML code could be deployed on Google App Engine.
BlueDragon is a commercial solution for deploying CFML code on Java servers.
It's described in this thread how someone got OpenBD (Blue Dragon) running on App Engine:
OpenBD on Google App Engine for Java
Are there any open source alternatives
that could be used for App Engine?
Railo is another obvious candidate here, and some people appear to be trying to tweak it for use on Google App Engine.
I am putting together some demos that run on Open BlueDragon, which in turn is running on Google App Engine. The list is small at the moment, but eventually it should give you a good idea of what is opssible with OpenBD and GAE.
http://www.brighthub.com/hubfolio/matthew-casperson/blog/archive/2010/05/12/cold-fusion-demos.aspx
Check out
http://www.stax.net/ - Stax networks made by a former Allaire(r)?
Works great, supports coldfusion out of the ..cloud. You download a precompiled source file, put your stuff in, upload it and it all works, no fighting with it.
I know google app engine is quite restrictive, it will involve opening up the source and removing everything that attempts to write to the file system, and changing your database interaction.
You can checkout this thread and group as a resource for Open BlueDragon as well as the wiki. Looks like they have a branch already which is working towards GAE compatibility.
On the Railo side of the CFML open source pond you can reference this article from help compiling Railo on your own from the source.
Joining both of their respective google groups and asking questions should yield fruitful as well.
Good Luck!

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