Description

This curriculum spans the technical and operational rigor of a multi-workshop cloud migration program, addressing storage assessment, security governance, and hybrid integration at the level of detail found in enterprise advisory engagements.

Module 1: Assessing On-Premises Storage Dependencies

Inventory and classify existing storage systems by performance tier, data sensitivity, and application dependency to determine migration sequencing.
Identify applications with direct-attached storage (DAS) that require architectural refactoring before cloud compatibility.
Map legacy backup and retention policies to cloud-native capabilities, reconciling compliance requirements with service limitations.
Quantify IOPS, throughput, and latency requirements for mission-critical workloads to validate cloud storage class suitability.
Determine data gravity factors, including volume size and update frequency, that influence migration window planning.
Engage storage administrators and application owners to resolve undocumented dependencies on NFS mounts or SAN snapshots.

Module 2: Selecting Cloud Storage Services by Workload Type

Choose between block (e.g., EBS), object (e.g., S3), and file (e.g., EFS) storage based on application access patterns and consistency needs.
Evaluate provisioned vs. burstable performance modes for databases requiring sustained I/O without throttling.
Implement intelligent tiering for S3 based on access frequency analysis from on-prem monitoring logs.
Assess multi-region replication requirements for active-active workloads and associated egress cost implications.
Compare native cloud file services against self-managed file gateways for hybrid access scenarios.
Validate encryption at rest options, including customer-managed keys, for regulated data sets.

Module 3: Data Migration Strategy and Tooling

Select offline transfer methods (e.g., AWS Snowball) for multi-petabyte datasets where network constraints prohibit online transfer.
Configure incremental sync jobs using tools like AWS DataSync to minimize cutover downtime for active file systems.
Establish pre-migration data cleansing protocols to exclude obsolete or redundant data from transfer.
Test data integrity post-transfer using checksum validation and file count reconciliation.
Orchestrate migration batches to avoid saturating source storage or cloud ingestion endpoints.
Define rollback procedures that preserve source data consistency if target validation fails.

Module 4: Identity, Access, and Data Security Governance

Implement least-privilege IAM policies for storage access, differentiating between read, write, and lifecycle management.
Enforce bucket policies to prevent public access while allowing authorized cross-account sharing.
Integrate storage access logs with SIEM systems for real-time anomaly detection on data access patterns.
Apply S3 Object Lock in governance mode to meet SEC Rule 17a-4 compliance for financial records.
Centralize encryption key management using cloud KMS with audit trails and rotation policies.
Define data classification tagging standards and automate policy enforcement via configuration rules.

Module 5: Performance Optimization and Cost Control

Right-size provisioned IOPS and throughput on block storage to balance performance and cost for database workloads.
Implement lifecycle policies to transition infrequently accessed data to lower-cost storage tiers after 30 days.
Monitor and optimize API request rates to reduce S3 request charges for high-frequency access patterns.
Use storage analytics to identify underutilized volumes and initiate decommissioning workflows.
Enable compression and deduplication at the application layer before ingestion to reduce stored data volume.
Forecast egress costs for analytics workloads and negotiate data transfer agreements where applicable.

Module 6: Disaster Recovery and Data Resilience Planning

Configure cross-region replication for critical buckets with versioning enabled to protect against accidental deletion.
Test recovery point objectives (RPO) by measuring replication lag under peak load conditions.
Validate backup integrity by restoring snapshots to isolated environments on a quarterly schedule.
Implement immutable backups using write-once-read-many (WORM) configurations in target regions.
Document recovery time objectives (RTO) for different data tiers and align with business continuity requirements.
Coordinate failover testing with application teams to ensure storage dependencies are restored in correct sequence.

Module 7: Monitoring, Alerting, and Operational Maintenance

Deploy cloud-native monitoring agents to track storage latency, error rates, and queue depth for critical volumes.
Create alert thresholds for capacity utilization to trigger scaling or cleanup actions before service impact.
Integrate storage metrics into centralized dashboards used by operations teams for incident triage.
Schedule regular reviews of access patterns to adjust storage class assignments and reduce costs.
Automate snapshot retention and deletion using policy-driven runbooks to prevent uncontrolled growth.
Conduct quarterly audits of orphaned storage resources and enforce tagging compliance for chargeback accuracy.

Module 8: Hybrid and Multi-Cloud Storage Integration

Deploy cloud storage gateways to present object storage as NFS or SMB shares for on-prem applications.
Configure caching policies on edge devices to optimize performance for frequently accessed data.
Establish consistent identity federation across cloud providers for unified access to multi-cloud storage.
Negotiate peering agreements to reduce data transfer costs between cloud providers in hybrid architectures.
Standardize data format and metadata tagging across environments to enable portability.
Implement replication monitoring tools to detect and resolve sync failures in bi-directional data flows.