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Cost Computing in Cloud Migration

Cost Computing in Cloud Migration

$251.00
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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 Cost Computing in Cloud Migration course cover?

Cost Computing in Cloud Migration is covered here in 8 modules: Assessing On-Premises Workloads for Cloud Suitability, Cloud Pricing Model Selection and Commitment Planning, Infrastructure-as-Code Implementation for Cost Control and 5 more. The outline lists 48 specific topics, opening with determine which applications are candidates for lift-and-shift versus re-architecture based on licensing constraints and dependency mapping.

How do you approach Cost Computing in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Assessing On-Premises Workloads for Cloud Suitability, moves through Cloud Pricing Model Selection and Commitment Planning and Infrastructure-as-Code Implementation for Cost Control, and ends at Cross-Cloud and Hybrid Cost Integration. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Cost Computing in Cloud Migration course?

Module 1 is Assessing On-Premises Workloads for Cloud Suitability. It works through determine which applications are candidates for lift-and-shift versus re-architecture based on licensing constraints and dependency mapping., measure CPU, memory, disk I/O, and network utilization over a minimum 30-day period to establish baseline performance profiles., identify workloads bound by data residency laws that may restrict region selection in public cloud environments.

How is the Cost Computing in Cloud Migration course delivered?

The Cost Computing in Cloud Migration 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 Cost Computing in Cloud Migration course cost?

The Cost Computing in Cloud Migration 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 Computing in Cloud Migration, Cloud Migration Best Practices, Cloud Computing Strategy and Migration Masterclass, Cloud Computing Mastery.

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

This curriculum spans the technical, financial, and operational disciplines required to manage cloud cost governance across multi-cloud and hybrid environments, comparable in scope to a multi-phase FinOps enablement program embedded within an enterprise cloud migration initiative.

Module 1: Assessing On-Premises Workloads for Cloud Suitability

  • Determine which applications are candidates for lift-and-shift versus re-architecture based on licensing constraints and dependency mapping.
  • Measure CPU, memory, disk I/O, and network utilization over a minimum 30-day period to establish baseline performance profiles.
  • Identify workloads bound by data residency laws that may restrict region selection in public cloud environments.
  • Classify applications by business criticality to prioritize migration sequencing and allocate appropriate cost buffers.
  • Document third-party software dependencies requiring re-licensing under cloud provider terms (e.g., Windows Server with BYOL vs. pay-as-you-go).
  • Validate disaster recovery requirements against existing SLAs to determine if cloud-native backup services meet RTO/RPO targets.

Module 2: Cloud Pricing Model Selection and Commitment Planning

  • Evaluate 1-year vs. 3-year Reserved Instance (RI) purchases against projected workload stability and depreciation cycles.
  • Compare Savings Plans across AWS, Azure, and GCP for consistent compute usage, factoring in flexibility to change instance families.
  • Negotiate enterprise discount agreements (e.g., Azure EA, AWS ECSP) based on multi-year spend forecasts and existing vendor relationships.
  • Decide between on-demand, spot, and preemptible instances for batch processing workloads with fault tolerance capabilities.
  • Model cost implications of egress bandwidth charges when replicating data across regions or to third-party SaaS platforms.
  • Implement tagging policies early to align resource usage with departmental chargeback or showback models.

Module 3: Infrastructure-as-Code Implementation for Cost Control

  • Standardize Terraform or CloudFormation templates to enforce instance type limits based on approved cost tiers.
  • Embed automated cost estimation tools (e.g., Infracost, Pulumi Cost Estimation) into CI/CD pipelines before deployment.
  • Configure conditional resource creation (e.g., dev environments only deploy during business hours).
  • Use module registries to restrict teams from deploying unapproved high-cost services like GPU instances or Elasticsearch clusters.
  • Implement drift detection to identify unauthorized changes that introduce cost variance (e.g., untagged resources, oversized disks).
  • Enforce naming conventions that encode environment, owner, and project code to streamline cost allocation reporting.

Module 4: Cloud Financial Governance and Accountability Frameworks

  • Define ownership roles for cost centers using IAM policies tied to budget alerts and approval workflows.
  • Set up automated budget thresholds with escalating notifications at 50%, 80%, and 100% of forecasted spend.
  • Restrict root account usage and enforce break-glass procedures to prevent uncontrolled resource provisioning.
  • Implement service control policies (SCPs) to block high-risk services (e.g., data transfer accelerators, cross-region replication).
  • Integrate cloud billing data with ERP systems for month-end financial reconciliation and audit compliance.
  • Conduct quarterly cost governance reviews with business unit leads to adjust allocations based on actual utilization.

Module 5: Optimizing Storage and Data Transfer Costs

  • Migrate cold data to lower-tier storage (e.g., S3 Glacier, Azure Archive) using lifecycle policies with defined retrieval windows.
  • Compress and deduplicate data before transfer to reduce egress fees and bandwidth consumption.
  • Use VPC endpoints or Direct Connect/ExpressRoute to minimize public internet data transfer costs for hybrid architectures.
  • Right-size database storage volumes by analyzing growth trends and enabling auto-scaling with caps.
  • Implement caching layers (e.g., Redis, Cloud CDN) to reduce repeated API calls and origin server load.
  • Evaluate data locality requirements to avoid cross-region replication where not contractually mandated.

Module 6: Container and Serverless Cost Management

  • Set CPU and memory limits in Kubernetes manifests to prevent resource over-provisioning and node sprawl.
  • Compare Fargate vs. EC2 launch types based on workload density and sustained utilization patterns.
  • Right-size Lambda function memory allocation using performance benchmarks to balance execution time and cost.
  • Monitor cold start frequency in serverless functions and assess provisioned concurrency trade-offs.
  • Implement namespace quotas in multi-tenant Kubernetes clusters to enforce cost boundaries per team.
  • Use horizontal pod autoscaling with custom metrics to align compute spend with actual demand cycles.

Module 7: Continuous Cost Monitoring and Optimization

  • Deploy cloud-native cost tools (e.g., AWS Cost Explorer, Azure Cost Management) with custom report templates for stakeholder review.
  • Schedule weekly anomaly detection scans to identify sudden cost spikes from misconfigured resources.
  • Conduct monthly rightsizing recommendations using utilization heatmaps from monitoring platforms.
  • Integrate FinOps practices into sprint planning to evaluate cost impact of new feature deployments.
  • Archive or decommission orphaned resources such as unattached disks, idle load balancers, and unused snapshots.
  • Benchmark cloud spend against industry KPIs (e.g., cost per transaction, cost per user) to assess efficiency trends.

Module 8: Cross-Cloud and Hybrid Cost Integration

  • Consolidate billing data from multiple cloud providers into a centralized data warehouse for unified reporting.
  • Map overlapping services across AWS, Azure, and GCP to evaluate cost parity for standardized workloads.
  • Negotiate volume discounts with multiple providers to maintain leverage and avoid vendor lock-in premiums.
  • Standardize tagging schemas across environments to enable consistent cost attribution in hybrid deployments.
  • Assess the TCO of maintaining private cloud infrastructure versus bursting to public cloud during peak demand.
  • Implement policy-as-code frameworks (e.g., Open Policy Agent) to enforce cost controls uniformly across cloud boundaries.
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