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Storage Tutorials

Learn how to configure, manage, and optimize storage solutions across various backends using Vantage Compute. These tutorials provide practical guidance for data management strategies from basic file storage to high-performance distributed systems.

What You'll Learn​

These storage tutorials cover:

  • Storage Configuration: Setting up different storage backends and file systems
  • Data Management: Organizing, transferring, and synchronizing data efficiently
  • Performance Optimization: Tuning storage for different workload patterns
  • Backup and Recovery: Implementing robust data protection strategies
  • Multi-Cloud Storage: Managing data across different cloud providers
  • Cost Optimization: Balancing performance and storage costs

Prerequisites​

Before starting these tutorials, you should have:

  • Access to a Vantage Compute environment
  • Basic understanding of file systems and storage concepts
  • Familiarity with data transfer tools and protocols
  • Sample datasets for testing and practice

Tutorial Series​

Basic Storage Setup​

Difficulty: Beginner
Duration: 30-45 minutes

Learn the fundamentals of storage configuration, including setting up shared file systems and basic data management workflows.

Advanced Storage Management​

Difficulty: Intermediate
Duration: 1-2 hours

Explore complex storage configurations, performance tuning, and multi-tier storage strategies for different workload requirements.

Enterprise Storage Solutions​

Difficulty: Advanced
Duration: 2-3 hours

Implement enterprise-grade storage solutions with high availability, disaster recovery, and advanced data lifecycle management.

Storage Types Covered​

These tutorials address various storage scenarios:

  • Shared File Systems: NFS, Lustre, and other parallel file systems
  • Object Storage: S3-compatible storage for large-scale data
  • Block Storage: High-performance storage for databases and applications
  • Archive Storage: Cost-effective long-term data retention
  • Scratch Storage: High-speed temporary storage for computational workloads

Performance Considerations​

Learn to optimize storage for:

  • Throughput: Maximizing data transfer rates
  • IOPS: Optimizing for high-frequency small operations
  • Latency: Minimizing access times for real-time applications
  • Capacity: Efficient use of available storage space
  • Cost: Balancing performance requirements with budget constraints

Best Practices Covered​

Throughout these tutorials, you'll learn:

  • Data Organization: Structuring data for optimal access patterns
  • Security: Implementing proper access controls and encryption
  • Monitoring: Establishing storage performance and capacity monitoring
  • Backup Strategies: Creating comprehensive data protection plans
  • Lifecycle Management: Automating data archival and cleanup processes

Common Use Cases​

These tutorials address real-world scenarios such as:

  • Setting up shared storage for collaborative research projects
  • Configuring high-performance storage for HPC workloads
  • Implementing cost-effective data archival strategies
  • Managing data across multiple cloud providers
  • Optimizing storage for AI/ML training datasets

Getting Help​

If you encounter issues during these tutorials:

  • Check the troubleshooting sections within each tutorial

  • Contact support for additional assistance

Next Steps​

After completing these tutorials, consider exploring: