Contents
Release notes are available here
These 3 plugins enable storing the Orthanc files in Object Storage at the 3 main Cloud providers: AWS, Azure & Google Cloud
Storing Orthanc files in object storage and your index SQL in a managed database allows you to have a stateless Orthanc that does not store any data in its local file system which is highly recommended when deploying an application in the cloud.
These 3 plugins are provided as part of the osimis/orthanc
Docker images.
The AWS plugin is available in the default Docker images while the Azure and Google plugins are available
in the -full
images.
The Azure plugin is also available as part of the Windows Installer (only for 64bits platform).
These plugins are used to interface Orthanc with commercial and proprietary cloud services that you accept to pay. As a consequence, the Orthanc project usually doesn’t freely update them or fix them unless the requester purchases a support contract e.g. at Orthanc Team.
Although you are obviously free to compile these plugins by yourself (instructions are given below), purchasing such support contracts makes the Orthanc project sustainable in the long term, to the benefit of the worldwide community of medical imaging.
The procedure to compile the plugins is quite similar of that for the core of Orthanc although they usually require some prerequisites. The documented procedure has been tested only on a Debian Buster machine.
The compilation of each plugin produces a shared library that contains the plugin.
Prerequisites: Compile the AWS C++ SDK:
$ mkdir ~/aws
$ cd ~/aws
$ git clone https://github.com/aws/aws-sdk-cpp.git
$
$ mkdir -p ~/aws/builds/aws-sdk-cpp
$ cd ~/aws/builds/aws-sdk-cpp
$ cmake -DBUILD_ONLY="s3;transfer" ~/aws/aws-sdk-cpp
$ make -j 4
$ make install
Prerequisites: Install vcpkg dependencies:
$ ./vcpkg install cryptopp
Compile:
$ mkdir -p build/aws
$ cd build/aws
$ cmake -DCMAKE_TOOLCHAIN_FILE=[vcpkg root]\scripts\buildsystems\vcpkg.cmake ../../orthanc-object-storage/Aws
NB: If you don’t want to use vcpkg, you can use the following command (this syntax is not compatible with Ninja yet):
$ cmake -DCMAKE_BUILD_TYPE=Debug -DUSE_VCPKG_PACKAGES=OFF -DUSE_SYSTEM_GOOGLE_TEST=OFF ../../orthanc-object-storage/Aws
$ make
Crypto++ must be installed (on Ubuntu, run sudo apt install libcrypto++-dev
).
Prerequisites: Install vcpkg dependencies:
$ ./vcpkg install cryptopp
$ ./vcpkg install azure-storage-cpp
Compile:
$ mkdir -p build/azure
$ cd build/azure
$ cmake -DCMAKE_TOOLCHAIN_FILE=[vcpkg root]\scripts\buildsystems\vcpkg.cmake ../../orthanc-object-storage/Azure
Prerequisites: Install vcpkg dependencies:
$ ./vcpkg install cryptopp
$ ./vcpkg install google-cloud-cpp
Compile:
$ mkdir -p build/google
$ cd build/google
$ cmake -DCMAKE_TOOLCHAIN_FILE=[vcpkg root]\scripts\buildsystems\vcpkg.cmake ../../orthanc-object-storage/google
Sample configuration:
"AwsS3Storage" : {
"BucketName": "test-orthanc-s3-plugin",
"Region" : "eu-central-1",
"AccessKey" : "AKXXX", // optional: if not specified, the plugin will use the default credentials manager (available from version 1.3.0)
"SecretKey" : "RhYYYY", // optional: if not specified, the plugin will use the default credentials manager (available from version 1.3.0)
"Endpoint": "", // optional: custom endpoint
"ConnectionTimeout": 30, // optional: connection timeout in seconds
"RequestTimeout": 1200, // optional: request timeout in seconds (max time to upload/download a file)
"RootPath": "", // optional: see below
"MigrationFromFileSystemEnabled": false, // optional: see below
"StorageStructure": "flat", // optional: see below
"EnableLegacyUnknownFiles": true, // optional: see below
"VirtualAddressing": true, // optional: see the section related to MinIO
"StorageEncryption" : {}, // optional: see the section related to encryption
"HybridMode": "Disabled" // optional: see the section related to Hybrid storage
}
The EndPoint configuration is used when accessing an S3 compatible cloud provider. I.e. here is a configuration to store data on Scaleway:
"AwsS3Storage" : {
"BucketName": "test-orthanc",
"Region": "fr-par",
"AccessKey": "XXX",
"SecretKey": "YYY",
"Endpoint": "s3.fr-par.scw.cloud"
}
The MinIO project can be used to emulate AWS S3 for local testing/prototyping. Here is a sample command to start a MinIO server on your local computer using Docker (evidently, make sure to set different credentials):
$ docker run -p 9000:9000 \
-e "MINIO_REGION=eu-west-1" \
-e "MINIO_ACCESS_KEY=AKIAIOSFODNN7EXAMPLE" \
-e "MINIO_SECRET_KEY=wJalrXUtnFEMI/K7MNG/bPxRfiCYEXAMPLEKEY" \
minio/minio server /data
Note that the MINIO_REGION
must be set to an arbitrary region that
is supported by AWS S3.
You can then open the URL http://localhost:9000/ with your Web browser to create a bucket,
say my-sample-bucket
.
Here is a corresponding full configuration for Orthanc:
{
"Plugins" : [ <...> ],
"AwsS3Storage" : {
"BucketName": "my-sample-bucket",
"Region" : "eu-west-1",
"Endpoint": "http://localhost:9000/",
"AccessKey": "AKIAIOSFODNN7EXAMPLE",
"SecretKey": "wJalrXUtnFEMI/K7MNG/bPxRfiCYEXAMPLEKEY",
"VirtualAddressing" : false
}
}
Note that the VirtualAddressing
option must be set to false
for such a local setup with MinIO to work. This option is
not available in releases <= 1.1.0 of the AWS S3 plugin.
Important: If you get the cryptic error message
SignatureDoesNotMatch The request signature we calculated does not
match the signature you provided. Check your key and signing
method.
, this most probably indicates that your access key or your
secret key doesn’t match the credentials that were used while starting
the MinIO server.
Sample configuration:
"AzureBlobStorage" : {
"ConnectionString": "DefaultEndpointsProtocol=https;AccountName=xxxxxxxxx;AccountKey=yyyyyyyy===;EndpointSuffix=core.windows.net",
"ContainerName" : "test-orthanc-storage-plugin",
"CreateContainerIfNotExists": true, // available from version 1.2.0
"RootPath": "", // see below
"MigrationFromFileSystemEnabled": false, // see below
"StorageStructure": "flat", // see below
"EnableLegacyUnknownFiles": true, // optional: see below
"StorageEncryption" : {} // optional: see the section related to encryption
"HybridMode": "Disabled" // optional: see the section related to Hybrid storage
}
Sample configuration:
"GoogleCloudStorage" : {
"ServiceAccountFile": "/path/to/googleServiceAccountFile.json",
"BucketName": "test-orthanc-storage-plugin",
"RootPath": "", // see below
"MigrationFromFileSystemEnabled": false, // see below
"StorageStructure": "flat", // see below
"EnableLegacyUnknownFiles": true, // optional: see below
"StorageEncryption" : {} // optional: see the section related to encryption
"HybridMode": "Disabled" // optional: see the section related to Hybrid storage
}
Since version 2.1.0 of the plugins, an HybridMode as been introduced. This mode allows reading/writing files from both/to the file system and the object-storage.
By default, the HybridMode
is Disabled
. This means that the plugins will access
only the object-storage.
When the HybridMode
is set to WriteToFileSystem
, it means that new files received
are stored on the file system. When accessing a file, it is first read from the file system
and, if it is not found on the file system, it is read from the object-storage.
The WriteToFileSystem
hybrid mode is useful for storing recent files on the file system for
better performance and old files on the object-storage for lower cost and easier backups.
When the HybridMode
is set to WriteToObjectStorage
, it means that new files received
are stored on the object storage. When accessing a file, it is first read from the object storage
and, if it is not found on the object-storage, it is read from the file system.
The WriteToObjectStorage
hybrid mode is useful mainly during a migration from file system to
object-storage, e.g, if you have deployed a VM in a cloud with local file system storage and want
to move your files to object-storage without interrupting your service.
When the HybridMode
is set to WriteToFileSystem
, it is sometimes useful to move old files
to the object-storage for long term archive or to pre-fetch files from object-storage to file
system for improved performances e.g when before opening the study in a viewer.
When the HybridMode
is set to WriteToObjectStorage
, it is useful to move file from the
file system to the object storage to perform a full data migration to object-storage.
To move files from one storage to the other, you should call the plugin Rest API:
$ curl -X POST http://localhost:8042/move-storage \
--data '{
"Resources": ["27f7126f-4f66fb14-03f4081b-f9341db2-53925988"],
"TargetStorage": "file-system",
"Asynchronous": true,
"Priority": 0
}'
This call creates a MoveStorageJob
that can then be monitor to the /jobs
route.
The allowed values for TargetStorage
are file-system
or object-storage
.
The StorageStructure configuration allows you to select the way objects are organized
within the storage (flat
or legacy
).
Unlike the traditional file system in which Orthanc uses 2 levels
of folders, object storages usually have no limit on the number of files per folder and
therefore all objects are stored at the root level of the object storage. This is the
default flat
behaviour. Note that, in the flat
mode, an extension .dcm or .json
is added to the filename which is not the case in the legacy mode.
The legacy
behaviour mimics the Orthanc File System convention. This is actually helpful
when migrating your data from a file system to an object storage since you can copy all the file
hierarchy as is.
The RootPath allows you to store the files in another folder as the root level of the
object storage. Note: it shall not start with a /
.
Note that you can not change these configurations once you’ve uploaded the first files in Orthanc.
The MigrationFromFileSystemEnabled configuration has been superseded by the HybridMode in v 2.1.0.
The EnableLegacyUnknownFiles configuration has been introduced to allow recent version of the plugins (from 1.3.3)
continue working with data that was saved with Orthanc version around 1.9.3 and plugins version around 1.2.0 (e.g. osimis/orthanc:21.5.1 docker images).
With these specific versions, some .unk
files were generated instead of .dcm.head
files. With this configuration option enabled,
when reading files, the plugin will try both file extensions.
If you have .unk
files in your storage, you must enable this configuration.
You’ll find sample deployments and more info in the Orthanc Setup Samples repository .
You’ll find some performance comparison between VM SSDs and object-storage here .
Although all cloud providers already provide encryption at rest, the plugins provide an optional layer of client-side encryption . It is very important that you understand the scope and benefits of this additional layer of encryption.
Encryption at rest provided by cloud providers basically compares with a file-system disk encryption. If someone has access to the disk, he won’t have access to your data without the encryption key.
With cloud encryption at rest only, if someone has access to the “api-key” of your storage or if one of your admin inadvertently make your storage public, PHI will leak.
Once you use client-side encryption, you’ll basically store packets of meaningless bytes on the cloud infrastructure. So, if an “api-key” leaks or if the storage is misconfigured, packets of bytes will leak but not PHI since no one will be able to decrypt them.
Another advantage is that these packets of bytes might eventually not be considered as PHI anymore and potentially help you meet your local regulations (Please check your local regulations).
However, note that, if you’re running entirely in a cloud environment, your decryption keys will still be stored on the cloud infrastructure (VM disks - process RAM) and an attacker could still eventually gain access to this keys.
If Orthanc is running in your infrastructure with the Index DB on your infrastructure, and files are stored in the cloud, the master keys will remain on your infrastructure only and there’s no way the data stored in the cloud could be decrypted outside your infrastructure.
Also note that, although the cloud providers also provide client-side encryption, we, as an open-source project, wanted to provide our own implementation on which you’ll have full control and extension capabilities. This also allows us to implement the same logic on all cloud providers.
Our encryption is based on well-known standards (see below). Since it is documented and the source code is open-source, feel-free to have your security expert review it before using it in a production environment.
Orthanc saves 2 kind of files: DICOM files and JSON summaries of DICOM files. Both files contain PHI.
When configuring the plugin, you’ll have to provide a Master Key that we can also call the Key Encryption Key (KEK).
For each file being saved, the plugin will generate a new Data Encryption Key (DEK). This DEK, encrypted with the KEK will be pre-pended to the file.
If, at any point, your KEK leaks or you want to rotate your KEKs, you’ll be able to use a new one to encrypt new files that are being added and still use the old ones to decrypt data. You could then eventually start a side script to remove usages of the leaked/obsolete KEKs.
To summarize:
The format of data stored on disk is therefore the following:
AES Keys shall be 32 bytes long (256 bits) and encoded in base64. Here’s a sample OpenSSL command to generate such a key:
openssl rand -base64 -out /tmp/test.key 32
Each key must have a unique id that is a uint32 number.
Here’s a sample configuration file of the StorageEncryption section of the plugins:
{
"GoogleCloudStorage" : {
"StorageEncryption" : {
"Enable": true,
"MasterKey": [3, "/path/to/master.key"], // key id - path to the base64 encoded key
"PreviousMasterKeys" : [
[1, "/path/to/previous1.key"],
[2, "/path/to/previous2.key"]
],
"MaxConcurrentInputSize" : 1024 // size in MB
}
}
}
MaxConcurrentInputSize: Since the memory used during encryption/decryption can grow up to a bit more than 2 times the input, we want to limit the number of threads doing concurrent processing according to the available memory instead of the number of concurrent threads. Therefore, if you’re currently ingesting small files, you can have a lot of thread working together while, if you’re ingesting large files, threads might have to wait before receiving a “slot” to access the encryption module.