New features
Cloudbreak 2.9.0 introduces the following new features:
Note | |
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As of December 31, 2021, Cloudbreak reached end of
support. For more information, see Support lifecycle policy. Cloudera recommends that
you migrate your workloads to CDP Public Cloud. |
Feature | Description | Documentation link | |||
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Specifying resource group name on Azure | When creating a cluster on Azure, you can specify the name for the new resource group where the cluster will be deployed. | Resource group name | |||
Multiple existing security groups on AWS | When creating a cluster on AWS, you can select multiple existing security groups. This option is available when an existing VPC is selected. | Create a cluster on AWS | |||
EBS volume encryption on AWS | You can optionally configure encryption for EBS volumes attached to cluster instances running on EC2. Default or customer-managed encryption keys can be used. | EBS encryption on AWS | |||
Shared VPCs on GCP | When creating a cluster on Google Cloud, you can place it in an existing shared VPC. | Shared networks on GCP | |||
GCP volume encryption | By default, Google Compute Engine encrypts data at rest stored on disks. You can optionally configure encryption for the encryption keys used for disk encryption. Customer-supplied (CSEK) or customer-managed (CMEK) encryption keys can be used. | Disk encryption on GCP | |||
Workspaces | Cloudbreak introduces a new authorization model, which allows resource sharing via workspaces. In addition to using their personal workspaces, users can create shared workspaces to share resources. | Workspaces | |||
Operations audit logging | Cloudbreak records an audit trail of the actions performed by Cloudbreak users as well as those performed by the Cloudbreak application. | Operations audit logging | |||
Updating long-running clusters | Cloudbreak supports updating base image's operating system and any third party packages that have been installed as well as upgrading Ambari, HDP and HDF. | Updating OS and tools on long-running clusters | |||
HDP 3.1 | Cloudbreak 2.9 introduces default HDP 3.1 blueprints and allows you to create your custom HDP 3.1 blueprints. | Default cluster configurations | |||
HDF 3.3 | Cloudbreak 2.9 introduces default HDF 3.3 blueprints and allows you to create your custom HDF 3.3 blueprints. | Default cluster configurations | |||
Recipe parameters | Supported parameters can be specified in recipes as variables by using mustache kind of templating with "{{{ }}}" syntax. | Writing recipes | |||
Shebang in Python recipes | Cloudbreak supports using shebang in Python scripts run as recipes. | Writing recipes | |||
AWS GovCloud (TP) | You can install Cloudbreak and create Cloudbreak-managed clusters on AWS GovCloud. This feature is technical preview. | Deploying on AWS GovCloud | |||
Azure ADLS Gen2 (TP) | When creating a cluster on Azure, you can optionally configure access to ADLS Gen2. This feature is technical preview. | Configuring access to ADLS Gen2 | |||
New and changed data lake blueprints (TP) | Cloudbreak 2.9 includes three data lake blueprints:
The data lake feature remains technical preview.
|
Working with data lakes |