Module 1: Cloud Storage Foundations
The Modern Cloud Landscape: Introduction to Public (AWS, Azure, GCP), Private, and Hybrid Cloud models.
The Shared Responsibility Model: Who owns the data vs. who owns the hardware.
Storage Paradigms: * Block Storage: Performance tuning for databases (EBS, Azure Managed Disks).
File Storage: Shared access via NFS/SMB (Amazon EFS, Azure Files, NetApp CVO).
Object Storage: Scaling unstructured data with Amazon S3 and Azure Blob.
Module 2: Advanced Networking for Storage
Virtual Private Clouds (VPC): Subnetting and routing for storage traffic.
Direct Connect & ExpressRoute: High-speed dedicated links for data migration.
LIFs and Intercluster Connectivity: Managing Logical Interfaces (NetApp focus) and peering.
DNS & Active Directory Integration: Setting up LDAP and AD for secure file sharing.
Module 3: Hybrid Cloud Architecture & Migration
The "Cloud-First" Strategy: Moving workloads from On-Premises to Cloud.
Data Migration Tools: Using AWS DataSync, Azure Data Box, and NetApp Cloud Sync.
Disaster Recovery (DR): Implementing SnapMirror and SnapVault for sub-minute RPO/RTO.
High Availability (HA): Designing multi-zone and multi-region storage clusters.
Module 4: Storage Security & Zero-Trust
Identity & Access Management (IAM): Least-privilege access for storage buckets.
Encryption at Rest & In Transit: Managing keys with AWS KMS and Azure Key Vault.
Ransomware Protection: Leveraging FPolicy, snapshots, and immutable storage (Object Lock).
Compliance: Meeting GDPR, HIPAA, and SOC2 standards in a cloud environment.
Module 5: Infrastructure as Code (IaC) & Automation
Terraform for Storage: Provisioning S3 buckets and Azure NetApp Files using code.
Ansible Workflows: Automating volume resizing, snapshots, and user permissions.
Python & REST APIs: Building custom storage dashboards and monitoring tools.
DevOps Integration: Plugging storage provisioning into CI/CD pipelines.
Module 6: FinOps & Performance Optimization
Cloud Economics: Understanding egress costs and API request pricing.
Automated Tiering: Using FabricPool to move "cold" data to low-cost object storage.
Performance Troubleshooting: Analyzing IOPS, Throughput, and Latency (using tools like AIQUM).
Cost Management: Setting up budgets, alerts, and resource tagging policies.
