Cloud credentials

Cloud credentials are a vital component within the Portworx Data Services (PDS) platform, facilitating secure and efficient interaction with various cloud service providers. These credentials enable PDS to perform essential operations such as provisioning resources, storing backups, and executing other cloud-based tasks. Managing cloud credentials effectively ensures seamless integration with cloud environments and enhances the overall functionality of the PDS platform.

For more information about the cloud credentials interface in PDS and the procedures to configure and store credentials for your cloud services such as Amazon S3, Google Cloud, and Azure Blob Storage, see Configure cloud credentials.

Configuration of cloud credentials

The configuration process for cloud credentials in PDS involves adding and managing the necessary authentication details for different cloud providers. This process is crucial for enabling PDS to access and utilize cloud resources securely and efficiently.

1. Add cloud credentials
2. Manage cloud credentials

Benefits of managing cloud credentials in PDS:

• Seamless integration: With properly configured cloud credentials, PDS can seamlessly interact with cloud services, enabling efficient resource management and operations.
• Automation: Credentials allow PDS to automate the provisioning of cloud resources, reducing the need for manual intervention and speeding up deployment processes.
• Security: Managing credentials centrally within PDS ensures that sensitive authentication details are stored securely and can be rotated regularly to enhance security.
• Scalability: As organizations scale their use of cloud resources, PDS can manage multiple credentials for different providers, ensuring that the platform remains versatile and adaptable to changing needs.

Example of cloud credential usage

Consider a retail organization with multi-cloud strategy:

AWS credentials:

Used for deploying and managing primary databases and application servers.

• Resources provisioned: EC2 instances, RDS for PostgreSQL, S3 for backups.
• Automation: PDS automatically scales EC2 instances based on application load, provisions RDS instances for new databases, and schedules backups to S3.

Google Cloud credentials:

Used for big data analytics and machine learning workloads.

• Resources provisioned: Google Cloud Storage for data lakes, BigQuery for analytics, AI Platform for machine learning models.
• Automation: PDS handles the provisioning of storage buckets for data ingestion, configures BigQuery datasets, and deploys AI models for predictive analytics.

Azure credentials:

Used for disaster recovery and additional storage.

• Resources provisioned: Azure Blob Storage for backup, Azure VMs for failover clusters.
• Automation: PDS replicates critical data to Azure Blob Storage and sets up failover clusters on Azure VMs to ensure business continuity.

By managing these cloud credentials within PDS, the retail company ensures that their multi-cloud strategy is effectively implemented, with automated and secure resource management across different cloud platforms. This approach enhances their operational efficiency, scalability, and resilience.