Comments (2)
Amazon Elastic File System seems a better fit than S3. It can be directly mounted and used like a local file system. S3 on the other hand is more a key value store than a file system, it doesn't support append operations, for example.
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Adam Bien gave us some quick hints about technologies called "ceph" and "rook" that could be used like a native FileSystem by application, but are actually clustered. Or something like that. It was really quick ...
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Related Issues (20)
- pom.xml - testing dependencies definition HOT 1
- javafx saving observabel list resulting in "Type not persistable: "class java.util.TimerThread" HOT 8
- Inconsistent timestamp of file HOT 1
- Storage transactions time stamp not monotone increasing
- Rest Interface Issue Using Quarkus HOT 2
- Create different configuration profiles for different use cases
- Building the MicroStreamTransactionFileConverte HOT 1
- TransactionFileConverter fails to create output file
- Calling `issueFullFileCheck()` does not seem to remove old unreferenced objects HOT 2
- microstream reports one.microstream.storage.exceptions.StorageExceptionConsistency: No entity found for objectId 1000000000001447523 HOT 1
- StorageExceptionDisruption Error HOT 9
- Inconsistent element count commig after store call HOT 2
- Improve StorageExceptionDisruptingExceptions
- why the microstream write performance is not good as DB? microsteam write cost is about 100ms+ HOT 1
- Cache get(...) returns null w/ expired entry and read-through enabled
- error using the Spark/Jetty REST API: NoClassDefFoundError: org/eclipse/jetty/server/session/SessionHandler HOT 3
- why microsteam occupy 58G main memory? HOT 3
- is it safe to change defaultSlotSize of class BinaryStorer from 1024 to 10240 for performance? HOT 1
- Cloud we add ‘this.itemCount = 0;’ in internalInitialize(246 line in org.eclipse.serializer.persistence.binary.types.BinaryStorer
- StorageExceptionConsistency? HOT 5
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