Don’t.
Agile (scrum, kanban, sprint, lean, etc.) is a huge waste of time and a time suck for software developers who just want to build software.
If you want your software development teams to work together you might try something like, um I don’t know, open communication…aka, talking to each other.
-tony
Datanucleus is a pretty complete persistence platform that supports standards such as JDO and JPA as well as persistence platforms such as Google’s BigTable and classic relational databases. Amazon S3 is a storage service provided by Amazon that you can interact with via external apis.
Luckily these two technologies can easily be put together to provide a cost-effective database solution for your applications. I have created a simple project that shows the following:
- JPA annotation configuration for a simple model.
- Configuring Amazon S3 as the JPA datastore (provided you have an account)
- Persisting and querying for model objects through a unit test.
This project is built on Maven2 so the following commands will help:
- mvn eclipse:eclipse
- properly configure build dependencies/targets for eclipse (.project/.classpath).
- mvn test
- compile the classes, bytecode enhance the generated classes (per datanucleus), and run the unit test showing persistence/query.
It’s nothing fancy, but it shows how viable a jpa + amazon s3 solution can be as a simple database.
If you’re truly interested in a relational database through Amazon S3 then look at Amazon’s Simple DB offering. This seems to provide a storage service that performs at the level of a relational database should.
Example Project Download: Datanucleus/JPA + AmazonS3
Hang tight!
We are in the middle of migrating to a new host. All the old pages and downloads will come back shortly, along with archives of my previous work.
Feel free to send me an email, I could forward along whatever you need.