- 18 Jun 2024
- 2 Minutes to read
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Diskover With Wasabi
- Updated on 18 Jun 2024
- 2 Minutes to read
- Print
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How do I use Diskover with Wasabi?
Wasabi has been validated for use with Diskover Data. Diskover is a web-based data management solution providing a global view of data fragmented across cloud and on-premise storage, with integrated search, analytics, workflows, and actions. To learn more about the Diskover-Wasabi solution, please refer to our joint solution brief.
1. Reference Architecture
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2. Prerequisites
Diskover Professional, Enterprise, Media Edition, and Life Science Edition support native S3 scanning/indexing
A license/annual subscription for Diskover Professional, Enterprise, Media Edition, or Life Science Edition is needed to unlock S3 scanner features and communicate with Wasabi
An active Wasabi account
Wasabi Bucket - See our Bucket Creation Guide
Access & Secret Key Pair - See our Access Keys Guide
3. Configuration
The indexing of Wasabi cloud storage can be configured both via a command line terminal and the Diskover web user interface. The command line is typically used for one-time and/or first-time scans, while the Diskover web user interface is the preferred method to set up indexing tasks at scheduled intervals.
Indexing via a terminal session
3.1. In a terminal session, add credentials to the default location for Wasabi S3 credentials:
cd /root/.aws
vi credentials
Example:
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3.2. To use a Wasabi S3 endpoint, set the AWS_PROFILE and the S3_ENDPOINT_URL
environment variables before running the crawl. Type the following commands to export the variables via a terminal session.
export AWS_PROFILE=wasabi-eu
export S3_ENDPOINT_URL=https://
cd /opt/diskover
python3 diskover.py --altscanner scandir_s3 s3://
Note: For information on the Wasabi service URLs, please refer to our Wasabi Service URLs article .
Indexing via the Diskover web user interface
3.3. Log in to the Diskover web interface. To add a Wasabi S3 endpoint via the Diskover web task panel, select "gear icon > Task Panel".
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3.4. In the Task List panel, select "New Index Task" to start a new index. To modify an existing index, click Info in line with an existing index, then "Edit task".
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3.5. Go down to "Environment Vars" and insert your endpoint in the dialog box for the task, for example:
AWS_PROFILE=wasabi-west,S3_ENDPOINT_URL=https://s3.us-west-1.wasabisys.com
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Note: This config example discusses the use of Wasabi's us-west-1 storage region. To use other Wasabi storage regions, please refer to our Wasabi Service URLs article .
3.6. To further configure indexing scheduled tasks, please follow these instructions.
Note: For further Diskover installation instructions, click here or access their complete online resources catalog .
4. Operations Summary
Diskover is a data management platform allowing you to “connect” all your storage repositories, either they are located on-prem or in the cloud. Diskover is non-proprietary; we do not store your files; we simply index their metadata. Therefore, end-users have access to read-only index of files and not the files themselves, hence assuring the safety of your source files and production network.
Diskover offers integrated:
To learn more, please refer to Diskover user guide.