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Sources and specific examples on hand when peers push back

$199.00
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A tailored course, built for your situation

Sources and specific examples on hand when peers push back

Build unshakable depth in cloud sales positioning with structured reasoning and real-world benchmarks

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.

The situation this course is for

Who this is for

Senior sales practitioner in managed cloud services, focused on architecting and justifying complex client solutions

Who this is not for

Entry-level account reps, generalist IT sellers, or those focused only on transactional cloud resale

What you walk away with

  • Confidently cite specific client migration patterns when justifying architecture recommendations
  • Reference documented AWS vs. Azure performance trade-offs from real managed transitions
  • Deploy a repeatable framework for explaining TCO assumptions behind proposed cloud models
  • Leverage public case benchmarks (anonymized) to ground pricing and scope conversations
  • Respond to technical pushback with sourced logic, not opinion

The 12 modules (with all 144 chapters)

Module 1. Mapping client needs to documented cloud migration archetypes
Identify which of nine proven migration patterns applies to current deals and reference real examples of each.
12 chapters in this module
  1. Lift-and-shift with hybrid DNS routing
  2. Replatformed SQL to Aurora transitions
  3. Containerized apps on managed Kubernetes
  4. Cold storage lift to S3 Glacier
  5. Multi-AZ failover setup examples
  6. Database sharding before cloud migration
  7. On-prem Exchange to Microsoft 365 path
  8. SAP migration to AWS EC2 bare metal
  9. Legacy COBOL wrapper in Azure App Service
  10. Mainframe-dependent app staging
  11. Fileshare consolidation into EFS
  12. VDI deployment on cloud workspaces
Module 2. Sourcing public benchmarks for cloud performance claims
Use third-party studies and cloud provider data sheets to back performance, availability, and cost assertions.
12 chapters in this module
  1. AWS Well-Architected Framework latency data
  2. Gartner cloud infrastructure case averages
  3. Third-party IOPS comparisons on EBS vs. Premium SSD
  4. Azure VM cold start times across regions
  5. Google Cloud interconnect uptime reports
  6. Public TCO models from McKinsey, Forrester
  7. Uptime benchmarks: ALB vs. NLB configurations
  8. Backup frequency vs. RPO in documented cases
  9. Spot instance failover rates by region
  10. Auto-scaling response time under load
  11. Cold start impact on Lambda-based APIs
  12. CDN cache hit ratios: CloudFront vs. Cloud CDN
Module 3. Structuring TCO justifications with auditable assumptions
Replace rough estimates with transparent, source-linked cost models that withstand peer review.
12 chapters in this module
  1. Baseline on-prem power and rack costs
  2. Estimating staff time for patching cycles
  3. Network egress cost modeling by volume tier
  4. Reserved vs. on-demand: break-even points
  5. Support license carryover assumptions
  6. Migration testing window labor estimates
  7. Disaster recovery runbook execution cost
  8. Hybrid DNS management overhead
  9. Monitoring agent footprint per instance
  10. Compliance audit prep hours per standard
  11. Patch cycle downtime cost per hour
  12. Failover drill frequency and cost
Module 4. Handling technical pushback from client architects
Anticipate and respond to common objections with documented precedents and architecture trade-offs.
12 chapters in this module
  1. Why not multi-cloud from day one?
  2. Single AZ vs. multi-AZ cost-benefit
  3. Justifying managed DB over self-hosted
  4. Security group vs. NACL design choices
  5. IAM role chaining limits and workarounds
  6. Using WAF without blocking legitimate traffic
  7. Backup frequency and compliance alignment
  8. Encryption key ownership models
  9. VPC peering vs. transit gateway
  10. PrivateLink vs. public endpoint trade-offs
  11. Cross-region replication lag expectations
  12. DR site failover testing frequency
Module 5. Aligning cloud scope with internal engineering stakeholders
Bridge sales and delivery by speaking to internal teams in their language, with shared references.
12 chapters in this module
  1. Translating client SLA needs to uptime design
  2. Matching support tiers to staffing models
  3. Change advisory board (CAB) process integration
  4. Incident response ownership mapping
  5. Patch window alignment with business ops
  6. Monitoring threshold definitions
  7. Log retention policy alignment
  8. Backup retention vs. compliance requirements
  9. DR runbook ownership assignment
  10. Security scan frequency expectations
  11. Patch validation process steps
  12. Post-mortem sharing protocols
Module 6. Justifying premium managed service inclusions
Defend value-added services with documented ROI and failure cases from peer environments.
12 chapters in this module
  1. Cost of unscheduled downtime per hour
  2. Examples of misconfigured auto-scaling
  3. Security incidents from delayed patching
  4. Backup corruption due to manual processes
  5. DR drills that failed due to outdated runbooks
  6. IAM sprawl leading to access violations
  7. Monitoring gaps during migration windows
  8. Log misconfiguration leading to blind spots
  9. Network misrouting in multi-VPC setups
  10. Certificate expiry causing outages
  11. DNS propagation errors during cutover
  12. Change freeze violations during holidays
Module 7. Responding to procurement cost challenges
Use comparative pricing structures and total cost examples to validate proposed scope.
12 chapters in this module
  1. TCO comparison: self-managed vs. managed DB
  2. Labor cost of 24/7 monitoring coverage
  3. Cost of unplanned scaling events
  4. Incident response labor after hours
  5. Security audit prep hours per year
  6. Compliance gap remediation estimates
  7. DR test labor and system downtime
  8. Migration rework due to skipped steps
  9. Patch delay risk quantification
  10. Backup restore validation time
  11. Change advisory board admin load
  12. Vendor management overhead
Module 8. Using anonymized case studies in sales conversations
Incorporate real examples without confidentiality risk by applying structured anonymization rules.
12 chapters in this module
  1. Removing client identifiers from architecture diagrams
  2. Generalizing industry-specific workloads
  3. Masking exact scale metrics
  4. Using tiered size descriptors (mid/large/enterprise)
  5. Describing outcomes without financial specifics
  6. Referencing compliance standards without naming audits
  7. Generalizing migration timelines
  8. Describing team size without headcount
  9. Using role-based permissions examples
  10. Abstracting network topology details
  11. Replacing exact cost figures with ranges
  12. Framing SLA achievements as percentiles
Module 9. Building a personal reference library for deal defense
Organize and tag your own repository of examples, sources, and reasoning patterns for rapid retrieval.
12 chapters in this module
  1. Tagging by client industry type
  2. Indexing by migration pattern used
  3. Categorizing by cloud provider
  4. Storing benchmark sources with links
  5. Versioning TCO models by quarter
  6. Archiving peer-reviewed responses
  7. Logging common objections by role
  8. Saving anonymized architecture snippets
  9. Tracking vendor statement changes
  10. Updating cost assumptions by region
  11. Bookmarking provider roadmap items
  12. Cross-referencing compliance controls
Module 10. Preempting objections in written proposals
Embed justification layers directly into scope documents to reduce back-and-forth.
12 chapters in this module
  1. Including TCO assumptions section
  2. Referencing migration archetype in intro
  3. Adding backup frequency rationale
  4. Stating DR failover objectives upfront
  5. Justifying managed service scope
  6. Explaining monitoring coverage depth
  7. Defining patch cycle alignment
  8. Clarifying incident response roles
  9. Outlining change control process
  10. Detailing compliance alignment approach
  11. Specifying encryption key management
  12. Annotating architecture with decision points
Module 11. Conducting discovery with defense in mind
Gather justification-ready inputs during client conversations to build stronger proposals.
12 chapters in this module
  1. Asking about current patch cycle pain
  2. Documenting past downtime incidents
  3. Capturing compliance audit findings
  4. Recording current backup failure rates
  5. Noting current monitoring blind spots
  6. Identifying recent security findings
  7. Understanding current DR test outcomes
  8. Tracking change freeze impact
  9. Logging current IAM sprawl issues
  10. Measuring current incident resolution time
  11. Assessing current network performance
  12. Evaluating current cost visibility
Module 12. Updating reasoning with new cloud developments
Stay current with provider updates and third-party research to keep your justifications sharp.
12 chapters in this module
  1. Tracking AWS re:Invent feature launches
  2. Monitoring Azure service updates
  3. Reviewing GCP alpha/beta program outcomes
  4. Subscribing to cloud cost research
  5. Following managed service provider blogs
  6. Attending cloud roadmap webinars
  7. Archiving deprecated service notices
  8. Updating TCO models with new pricing
  9. Revising assumptions after new benchmarks
  10. Re-evaluating patterns after security advisories
  11. Adjusting SLA expectations with new SLAs
  12. Revisiting architecture choices post-launch

How this maps to your situation

  • Responding to technical questions from client architects
  • Defending scope and pricing in procurement reviews
  • Aligning proposed design with internal engineering teams
  • Reinforcing value in renewal and expansion conversations

Before vs. after

Before
Recommending cloud solutions based on experience and pattern recognition.
After
Defending every design choice with documented examples, benchmarks, and logical frameworks.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3-4 hours per module, designed to be completed alongside active deal work.

How this compares to the alternatives

Unlike generic cloud sales training, this course focuses on the reasoning layer, how to justify decisions under scrutiny, not just how to position or price. It’s built for practitioners who already know the basics and need depth, not breadth.

Frequently asked

Is this about selling cloud or technical architecture?
It’s about the intersection, how to defend technical choices in sales conversations with evidence and logic.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get access to real client data?
No client-specific data is shared. All examples are anonymized or drawn from public benchmarks.
$199 one-time. Approximately 3-4 hours per module, designed to be completed alongside active deal work..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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