Create App Engine project via API - google-app-engine

I would need to automate the creation of new App Engine projects. Is this possible? I see there is a Google Cloud SQL Admin API which can create new Cloud SQL instances, but what about App Engine? Is there anything similar?
Update:
We have developed an application that runs on GAE and uses Cloud SQL and plenty of API integration with most of Google Apps. We foresee dozens, if not hundreds, of customers in a near future. All of them will be using their own Google domain and Google Apps.
While we could actually just deploy the application in our App Engine and modify the Cloud SQL tables to include the id of the customer who owns the record, we thought it would be better if we deploy an app instance and Cloud SQL for every one of them (on our own account). The main reasons coming to mind are that we can track how much every customer spends in terms of billing, and speed up the database since Cloud SQL is just a MySQL instance.
Steps for the creation would require editing a properties file in the packaged .war file, adding the certificate used to log in as a service account, and probably something that I am missing at this moment :-P
This question is somehow related Create an App Engine Project ID command line

As far as I know this is not possible (and is unlikely to be possible anytime soon).
Update:
I can see why splitting into separate projects for billing purposes would be really nice (multi-tenancy is great, but getting one bill per customer from Google sounds easier), but unfortunately I don't think that it's going to be your best option.
For AppEngine, you may want to look into the multi-tenancy features (or in Python) and how to get stats for billing.
Keep in mind however, CloudSQL is not simply a MySQL instance. It happens to speak MySQL but is not the same as running MySQL on Compute Engine for example. I would recommend that you run some benchmarks to be sure that the "adding the customer ID to the table" idea you had won't work.
Lastly, a possibly relevant read: http://signalvnoise.com/posts/1509-mr-moore-gets-to-punt-on-sharding
I guess the conclusion is that there’s no use in preempting the technological progress of tomorrow. Machines will get faster and cheaper all the time, but you’ll still only have the same limited programming resources that you had yesterday.
If you can spend them on adding stuff that users care about instead of prematurely optimizing for the future, you stand a better chance of being in business when that tomorrow finally rolls around.

Related

GAE - Different Project for different clients or Different version of the same application for different clients?

I am working on a system on GAE that includes app server, Datastore, a mobile app and a web client.
My each customer will need to have a customized (separate) app server, datastore, mobile app and a web client. I am not able to find any information on how I should design my system:
[Option A]:-Separate project for each customer, hence app server and datastore will be available exclusively for that customer. In the sense, do I need to clone my base project for each of my customers and then customize to have separate datastore and appservers ?
OR
[Option B]:-Same project with different versions of application for each customer. In this case, can I have individual (exclusive) data store and app server for each customer? In the sense, I want a separate datastore and app server for each customers. I am not sure if I can take advantage of using different datastore buckets for different customers for my requirement.
I could not find any reference link addressing my problem.
Any help will greatly be appreciated.
Thanks in advance!
You should consider App Engine's native support of multitenancy. If this is not good enough for your requirements, then you will have to create a separate project for each customer. The Datastore for a single project is shared across all versions, so you will not be able to segment it (unless you are ok using namespaces as described in the linked doc).
I would also recommend making sure that you actually need to have separate applications running for each customer. Unless you sign up for a premier account, you have a limited number of projects that you can create. Besides that, it will most likely make management of those apps much more difficult for you.

Geospatial Database Cloud Server

Are there any cloud hosting solutions for geospatial data? I am currently writing a directory style app where businesses can sign up and then users can find nearby ones.
I am considering Google App Engine for this, but from what I can tell the GeoModel code is quite expensive (up to tens of thousands of dollars a year) to run since Google updated the pricing of App Engine. It doesn't seem like App Engine's database is really suited to this kind of query (though the SQL solution may be an answer).
I was hoping to find a service where I could send off a HTTP request to add data (a business' id, name and icon url) to a database, and then another one to find a list of businesses that are nearby to a given point. A service is preferable as this is work done for a client and we would like the solution to be managed with as little interaction from us or the client needed as possible.
EDIT:
I just found cartodb.com which uses PostgreSQL and is reasonably priced. Are the any other alternatives?
The App Engine Search API (currently in Experimental) supports GeoPoints and geosearch, and is great for exactly the kind of query that you describe.
See the Google Developers Academy (GDA) App Engine Search API classes for a bit more info and an example as well.
http://www.iriscouch.com/ is a cloud-based host for CouchDB and they support the geocouch extensions for CouchDB to store geoJSON data and perform spatial queries.
We have decided to go with cartodb.com because it looks like they have a good price to ease of use ratio.
You mentioned going with CartoDB, which is a good choice with a nice UI.
Just adding, if you were just looking for a scalable backend, you could use StormDB. It is a cloud hosted SQL database with geospatial extensions. You data is automatically distributed amongst multiple nodes for write, read, and parallel query scalability.

Migrating from AppEngine

I have developed a application using GWT/AppEngine/Objectify. There are many clients who want this locally deployed in their environments as the data is sensitive.
I cannot think of a way where the data of a application is hidden from its developers in AppEngine. Even I encrypt the data there will be always question about security.
I thought of the following alternatives
a) I have now a multitenancy application in appengine. I can now have a deployment for particular clients using their individual google accounts. This way they have security of data. I am not sure how I will handle new deployments. There is nothing like sharing the application with a user.
b) Migrate to MongoDB/MYSql.
This will lead to the whole question of handling migrations when data models are changed.I have read that with MongoDB I will not face migration issues. Is this correct.
What would be the best way to solve this issue. The root issue is that we as developers have access to data in Google/AppEngine environment which the client does not want.
Any help would be appreciated.
The easiest would be for the client to create an App Engine account and you only supply the war.
If you still plan to migrate away from GAE, then you might want to take a look at AppScale and capedwarf-blue.

Back up AppEngine database (Google cloud storage?)

I have an AppEngine application that currently has about 15GB of data, and it seems to me that it is impractical to use the current AppEngine bulk loader tools to back up datasets of this size. Therefore, I am starting to investigate other ways of backing up, and would be interested in hearing about practical solutions that people may have used for backing up their AppEngine Data.
As an aside, I am starting to think that the Google Cloud Storage might be a good choice. I am curious to know if anyone has experience using the Google Cloud Storage as a backup for their AppEngine data, and what their experience has been, and if there are any pointers or things that I should be aware of before going down this path.
No matter which solution I end up with, I would like a backup solution to meet the following requirements:
1) Reasonably fast to backup, and reasonably fast to restore (ie. if a serious error/data deletion/malicious attack hits my website, I don't want to have to bring it down for multiple days while restoring the database - by fast I mean hours, as opposed to days).
2) A separate location and account from my AppEngine data - ie. I don't want someone with admin access to my AppEngine data to necessarily have write/delete access to the backup data location - for example if my AppEngine account is compromised by a hacker, or if a disgruntled employee were to decide to delete all my data, I would like to have backups that are separate from the AppEngine administrator accounts.
To summarize, given that getting the data out of the cloud seems slow/painful, what I would like is a cloud-based backup solution that emulates the role that tape backups would have served in the past - if I were to have a backup tape, nobody else could modify the contents of that tape - but since I can't get a tape, can I store a secure copy of my data somewhere, that only I have access to?
Kind Regards
Alexander
There are a few options here, though none are (currently) quite what you're looking for.
With the latest release of version 1.5.5 of the SDK, we now support interfacing with Google Storage directly - you can see how, here. With this you can write data to Google Storage, but to the best of my knowledge there's no way to write a file that the app will then be unable to delete.
To actually gather the data, you could use the App Engine mapreduce API. It has built in support for writing to the App Engine blobstore; writing to Google Storage would require you to implement your own output writer, currently.
Another option, as WoLpH suggests, is to use the Datastore Admin tool to back up data to another app. With a little extra effort you could modify the remote_api stub to prohibit deletes to the target (backup) app.
One thing you should definitely do regardless is to enable two-factor authentication for your Google account; this makes it a lot harder for anyone to get control of your account, even if they discover your password.
The bulkloader is probably one of the fastest way to backup/restore your data.
The problem with the AppEngine is that you have to do everything through views. So you have the restrictions that views have... the result is that a fast backup/restore still has to use the same API's as the rest of your app. So the bulkloader (possibly with a few modifications) is definately your best option here.
Perhaps though... (haven't tried it yet), you can use the new Datastore Admin to copy the data to another app. One which only you control. That way you can copy it back from the other app when needed.

When should one use the following: Amazon EC2, Google App Engine, Microsoft Azure and Salesforce.com?

I am asking this in very general sense. Both from cloud provider and cloud consumer's perspective. Also the question is not for any specific kind of application (in fact the intention is to know which type of applications/domains can fit into which of the cloud slab -SaaS PaaS IaaS).
My understanding so far is:
IaaS: Raw Hardware (Processors, Networks, Storage).
PaaS: OS, System Softwares, Development Framework, Virtual Machines.
SaaS: Software Applications.
It would be great if Stackoverflower's can share their understanding and experiences of cloud computing concept.
EDIT: Ok, I will put it in more specific way -
Amazon EC2: You don't have control over hardware layer. But you can take your choice of OS image, Dev Framework (.NET, J2EE, LAMP) and Application and put it on EC2 hardware. Can you deploy an applications built with Google App Engine or Azure on EC2?
Google App Engine: You don't have control over hardware and OS and you get a specific Dev Framework to build your application. Can you take any existing Java or Python application and port it to GAE? Or vice versa, can applications that were built on GAE be taken out of GAE and ported to any Application Server like Websphere or Weblogic?
Azure: You don't have control over hardware and OS and you get a specific Dev Framework to build your application. Can you take any existing .NET application and port it to Azure? Or vice versa, can applications that were built on Azure be taken out of Azure and ported to any Application Server like Biztalk?
Good question! As you point out, the different offerings fit into different categories:
EC2 is Infrastructure as a Service; you get VM instances, and do with them as you wish. Rackspace Cloud Servers are more or less the same.
Azure, App Engine, and Salesforce are all Platform as a Service; they offer different levels of integration, though: Azure pretty much lets you run arbitrary background services, while App Engine is oriented around short lived request handler tasks (though it also supports a task queue and scheduled tasks). I'm not terribly familiar with Salesforce's offering, but my understanding is that it's similar to App Engine in some respects, though more specialized for its particular niche.
Cloud offerings that fall under Software as a Service are everything from infrastructure pieces like Amazon's Simple Storage Service and SimpleDB through to complete applications like Fog Creek's hosted FogBugz and, of course, StackExchange.
A good general rule is that the higher level the offering, the less work you'll have to do, but the more specific it is. If you want a bug tracker, using FogBugz is obviously going to be the least work; building one on top of App Engine or Azure is more work, but provides for more versatility, while building one on top of raw VMs like EC2 is even more work (quite a lot more, in fact), but provides for even more versatility. My general advice is to pick the highest level platform that still meets your requirements, and build from there.
This is an excellent question. Full disclosure as I am partial to Azure but have experience with the others.
Where I think Azure stands out from the others is the quick transition from on prem to the cloud. For example -
SQL Azure - change connection string, upload DB, go!
Queues work a lot like MSMQ.
Blobs are pretty much blobs any way you shake them but they scale like crazy.
The table storage component is good because it provides incredible scalability for name/value pairs - but takes some getting used to.
Service Bus is my favorite of the services because it allows for a variety of communications paradigms. Two SB endpoints first try to connect to each other, if they cannot, then they route through the cloud - makes for very secure and scalable processing when firewalls tend to get in the way.
Access control list - paired typically with the service bus to make sure the right people access the right things - think SAML in the cloud.
I hope that helps!
My cloud experience is currently limited to Salesforce.com
For standard business operations and automation it provides a significant number of features that allow us to get apps up and running very quickly. We are particularly benefitting from the following:
Security (Administrators can control access to objects and fields)
Workflow & Approvals
Automatic UI generation
Built in reporting and dashboards
Entire system (including our custom changes) is accessible via web services
Ability to make the data in the system available through public sites (e.g. eCommerce)
Large library of third party apps to solve standard problems
The platform does NOT solve every problem.
I would not use the platform to model a nuclear power station or build the next twitter.
The major points of cloud computing is to save on costs by paying for usage and enable immediate deployment of computing resources.
The costs are not purely x amount of cents per instance per hour. The costs include maintenance, development, administration, etc. The huge benefit of cloud, in my mind is to liberate the customers from having to manage anything that is not within the realm of their core business competency. If I am an insurance business, I want my developers to concentrate on my insurance problems that help solve needs of my claims, rates, etc. I would rather avoid dealing with problems of email servers, file servers, document repositories, and administrating OS patches, service packs, etc.
Thus, in my opinion, the biggest benefits are derived from the SaaS and PaaS cloud offerings. One should go to IaaS only when PaaS or SaaS have serious restrictions to specific needs (i.e. I need to install a set of proprietary COM components and Azure does not support them).
SaaS is good for commodity type of applications that are not the core line of business for the client, but are more of a utility. These are your typical Messaging systems, Portals, Document Repositories, Email systems, CRMs, ERP's, Accounting, etc. etc. etc. Why reinvent the wheel by writing your own when you can customize a well supported third party product.
PaaS is great for core line of business software that supports companies' main business offering. Abstracts clients from having to deal with OS management and lets clients concentrate on the business system development - something that noone else can do for the client.
One can also take advantage of the benefits of PaaS (let's say, Google App Engine) and extend it, at times and if necessary, by pulling out some virtual machines from IaaS providers (e.g. Amazon) to do some number crunching then just send back the output to Google App Engine.
This way, you get the best of both worlds -- you can rapidly develop scalable apps in GAE, then you can always augment it by running any program you want from Amazon virtual machines.
This keeps changing, now Windows Azure also supports VM, so it is also an IaaS provider now.
Now how about Free Amazon EC2 for a year to do a better comparision. Check this out.
http://www.buzzingup.com/2010/10/amazon-announces-free-cloud-services-for-new-developers/

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