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Storage Management in Application Management

Storage Management in Application Management

$250.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Storage Management in Application Management course cover?

Storage Management in Application Management is covered here in 8 modules: Storage Architecture Design and Alignment with Application Workloads, Capacity Planning and Scalability Modeling, Performance Monitoring and Bottleneck Resolution and 5 more. The outline lists 48 specific topics, opening with selecting block, file, or object storage based on application I/O patterns, such as random vs. sequential access and latency sensitivity.

How do you approach Storage Management in Application Management step by step?

The work is sequenced in 8 stages. It starts with Storage Architecture Design and Alignment with Application Workloads, moves through Capacity Planning and Scalability Modeling and Performance Monitoring and Bottleneck Resolution, and ends at Cost Optimization and Vendor Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Storage Management in Application Management course?

Module 1 is Storage Architecture Design and Alignment with Application Workloads. It works through selecting block, file, or object storage based on application I/O patterns, such as random vs. sequential access and latency sensitivity., mapping application performance requirements (IOPS, throughput, latency) to storage tiering strategies across SSD, NVMe, and HDD layers., designing storage redundancy models (RAID levels, erasure coding, replication) in alignment.

How is the Storage Management in Application Management course delivered?

The Storage Management in Application Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Storage Management in Application Management course cost?

The Storage Management in Application Management course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Cloud Storage in Application Development, Offsite Storage in Application Management, Storage Automation in Application Infrastructure Dataset, Data Storage in Application Infrastructure Dataset.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the technical and operational breadth of enterprise storage management, equivalent to a multi-workshop program developed for internal capability building in organisations managing complex, hybrid application environments with demanding performance, security, and scalability requirements.

Module 1: Storage Architecture Design and Alignment with Application Workloads

  • Selecting block, file, or object storage based on application I/O patterns, such as random vs. sequential access and latency sensitivity.
  • Mapping application performance requirements (IOPS, throughput, latency) to storage tiering strategies across SSD, NVMe, and HDD layers.
  • Designing storage redundancy models (RAID levels, erasure coding, replication) in alignment with application availability SLAs.
  • Integrating storage architecture decisions with container orchestration platforms, particularly persistent volume claims in Kubernetes environments.
  • Aligning storage topology with microservices architecture, including stateful vs. stateless service data placement.
  • Evaluating direct-attached vs. network-attached storage for high-performance computing or low-latency financial applications.

Module 2: Capacity Planning and Scalability Modeling

  • Forecasting storage growth using historical utilization trends and application roadmap inputs, including seasonal spikes.
  • Implementing thin provisioning while managing overcommitment risks and monitoring actual consumption.
  • Designing scale-out storage clusters with node addition protocols and data rebalancing procedures.
  • Projecting archival and tiering needs based on data lifecycle policies and regulatory retention requirements.
  • Calculating overhead for snapshots, clones, and replication in total usable capacity estimates.
  • Validating scalability assumptions through load testing under projected peak workloads.

Module 3: Performance Monitoring and Bottleneck Resolution

  • Instrumenting storage performance metrics (latency, queue depth, IOPS) at the application, host, and array levels.
  • Correlating application response time degradation with storage subsystem metrics to isolate root cause.
  • Adjusting multipathing configurations (e.g., MPIO, ALUA) to optimize path failover and load distribution.
  • Tuning file system parameters (block size, mount options) to match application access patterns.
  • Identifying and resolving contention in shared storage environments with multiple tenant workloads.
  • Diagnosing performance impact from storage array features such as deduplication or compression during peak hours.

Module 4: Data Protection and Recovery Strategy Implementation

  • Defining RPO and RTO targets for each application and mapping them to snapshot, backup, and replication schedules.
  • Configuring application-consistent snapshots using VSS or pre-freeze scripts in virtualized environments.
  • Validating recovery procedures through periodic restore drills for critical databases and file shares.
  • Managing snapshot retention policies to balance recovery flexibility with storage consumption.
  • Integrating storage-based replication (synchronous/asynchronous) with disaster recovery runbooks.
  • Coordinating backup workflows across storage arrays, backup servers, and cloud gateways to avoid bottlenecks.

Module 5: Storage Security and Access Governance

  • Enforcing role-based access control (RBAC) on storage arrays to limit administrative and data plane operations.
  • Implementing LUN masking and zoning in SAN environments to restrict host access to assigned volumes.
  • Managing encryption keys for self-encrypting drives (SEDs) or array-based encryption with key management systems.
  • Auditing access logs for sensitive file shares and integrating with SIEM for anomaly detection.
  • Applying NTFS or NFS permissions in alignment with least-privilege principles and organizational access policies.
  • Securing management interfaces (SSH, HTTPS, API endpoints) on storage controllers with hardened configurations.

Module 6: Cloud and Hybrid Storage Integration

  • Designing data placement policies for hybrid cloud scenarios using cloud tiering or caching appliances.
  • Assessing egress costs and latency implications when migrating active datasets between on-premises and cloud storage.
  • Configuring cloud snapshots and backups with lifecycle policies to transition data to lower-cost tiers.
  • Integrating on-premises identity providers with cloud storage access via S3 policies or Azure AD.
  • Establishing consistent data protection SLAs across on-premises and cloud-resident application data.
  • Monitoring performance of cloud-native storage (e.g., EBS, Premium SSD) against application requirements.

Module 7: Automation and Infrastructure as Code for Storage Operations

  • Developing Ansible playbooks or Terraform modules to provision and configure storage volumes consistently.
  • Automating snapshot lifecycle management using array-native APIs and scheduled scripts.
  • Integrating storage provisioning workflows with CI/CD pipelines for stateful application deployments.
  • Using REST APIs to monitor storage health and trigger alerts or remediation actions.
  • Version-controlling storage configuration templates to support auditability and rollback.
  • Orchestrating storage failover and recovery procedures through automated runbooks in DR scenarios.

Module 8: Cost Optimization and Vendor Management

  • Negotiating storage capacity and support contracts with vendors based on actual utilization and future roadmap.
  • Conducting TCO analysis when evaluating all-flash arrays vs. hybrid storage for specific workloads.
  • Right-sizing storage allocations by reclaiming orphaned or overprovisioned volumes.
  • Implementing chargeback or showback models using storage consumption data for internal billing.
  • Assessing vendor lock-in risks when adopting proprietary replication, deduplication, or management tools.
  • Managing firmware and software updates across storage arrays with change control and rollback planning.
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