Cloud Migration & Modernization

We help organizations migrate & modernize cloud platforms with minimal risk & maximum value.

OptimizeNow Cloud Migration Workflow

• We help organizations migrate and modernize cloud platforms with minimal risk and maximum value.
• Our practitioner-led approach ensures secure execution, optimized performance, and long-term operational readiness.

Why This Workflow Works for,

OptimizeNow

01

Governance-first

Security and compliance embedded at every step

02

Federal-ready

Supports audit, compliance, and ATO processes

03

Outcome-driven

Focused on performance, cost, and mission value

04

Practitioner-led

No junior handoffs—execution by experienced engineers

Step 1 : Discover

Cloud Readiness Assessment

Objective:

Understand the current state and migration feasibility.

What we do:

  • Inventory applications, data, and infrastructure
  • Assess cloud readiness and technical debt
  • Identify security, compliance, and regulatory gaps
  • Evaluate workload criticality and dependencies

Outputs:

  • Cloud readiness scorecard
  • Migration risk assessment
  • High-level migration candidates

Step 2: Design

Strategy & Architecture

Objective:

Define a secure, scalable, & compliant target state.

What we do:

  • Define target cloud architecture (public, hybrid, multi-cloud)
  • Select migration approach (rehost, replatform, refactor)
  • Design security, identity, and governance controls
  • Create migration roadmap aligned to mission priorities

Outputs:

  • Target-state architecture diagrams
  • Cloud governance and security blueprint
  • Migration roadmap with phases and milestones

Step 3: Plan

Migration & Governance Planning

Objective:

Reduce risk and ensure controlled execution.

What we do:

  • Prioritize workloads and migration waves
  • Define data migration and validation strategy
  • Establish compliance, logging, and audit controls
  • Define success metrics and KPIs

Outputs:

  • Detailed migration plan
  • Compliance and risk mitigation plan
  • Cutover and rollback strategy

Step 4: Migrate

Execution & Transition

Objective:

Move workloads securely with minimal disruption.

What we do:

  • Execute phased workload migrations
  • Secure data and application transfers
  • Validate performance, security, and access controls
  • Perform testing and stabilization

Migration approaches include:

  • Lift & Shift (Rehost)
  • Replatform
  • Refactor / Cloud-native modernization

Outputs:

  • Migrated workloads
  • Verified security and performance baselines

Step 5: Validate

Security, Compliance & Performance

Objective:

Ensure cloud environments are production-ready.

What we do:

  • Conduct security and compliance validation
  • Perform performance and resiliency testing
  • Validate data integrity and application behavior
  • Prepare documentation for audit or ATO readiness

Outputs:

  • Compliance validation evidence
  • Performance benchmarks
  • Production readiness sign-off

Step 6: Optimize

Cost, Performance and Operations

Objective:

Maximize long-term cloud value.

What we do:

  • Optimize resource usage and cloud costs (FinOps)
  • Improve performance and scalability
  • Implement monitoring and operational automation
  • Align cloud operations to ongoing mission needs

Outputs:

  • Optimized cloud cost model
  • Operational runbooks
  • Monitoring and alerting dashboards

Step 7: Enable

Knowledge Transfer & Scale

Objective:

Empower teams and scale adoption.

What we do:

  • Knowledge transfer to internal teams
  • Cloud operations training and documentation
  • Support scaling for data, analytics, and AI workloads
  • Continuous improvement recommendations

Outputs:

  • Trained teams
  • Sustainable cloud operating model
  • Scalable platform for Data & AI

Outcomes You Can Expect

• Secure, compliant cloud migrations with governance built in
• Reduced infrastructure and operational costs through FinOps
• Improved performance and scalability for mission-critical workloads
• Lower migration risk with phased execution and validation
• Cloud platforms ready for Data + AI workloads

Who We Serve

• Federal agencies & public sector organizations
• Regulated enterprises (financial services, healthcare, life sciences)
• Organizations modernizing legacy infrastructure
• Teams moving to hybrid or multi-cloud environments
• Programs adopting cloud platforms for analytics and AI

OptimizeNow

Capabilities

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