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Application Developer

Cloud Services & DevOps

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Cloud Migrations (legacy modernization to AWS/Azure/GCP)

7R strategy, secure landing zones, and battle-tested cutovers backed by dashboards and SLOs.

Move from legacy systems to AWS/Azure/GCP with a practical 7R-driven plan, battle-tested cutover patterns, and governed cloud environments. We de-risk migrations with discovery, quick wins (rehost/replatform), and targeted refactors that pay off—backed by dashboards and SLOs stakeholders can trust.

Key Benefits

Faster Time-to-Cloud: Migration factory & wave plansFaster Time-to-Cloud:

Lower Risk: Blue/green, canary, rollback drillsLower Risk:

Cost Control: Right-sizing and lifecycle policiesCost Control:

Security by Design: Zero-trust IAM, mTLS, WAFSecurity by Design:

Modernization Roadmap: Quick wins + targeted refactorsModernization Roadmap:

What We Deliver

  1. Cloud Readiness & Business Case: app inventory, dependency maps, TCO/ROI models.
  2. Landing Zone & Guardrails: identity, network, cost controls, baseline observability.
  3. Migration Factory: repeatable runbooks, wave planning, automated pipelines.
  4. Cutover & Validation: blue/green, canary, and rollback paths with data reconciliation.
  5. Modernization Roadmap: quick lifts now; deeper refactors for scale and agility.

Migration Approaches (7R)

  1. Rehost (“lift & shift”): speed to cloud with baselines and cost governance.
  2. Replatform: containers/serverless-ready services, managed data stores.
  3. Refactor / Rearchitect: break high-friction modules, introduce microservices where it pays off.
  4. Retire / Retain / Repurchase: drop unused apps, defer safely, or adopt managed SaaS.

Discovery & Assessment

  1. As-Is Mapping: infra, data, licensing, performance, compliance scope.
  2. Risk & Priority: blast radius, change frequency, business criticality.
  3. Sizing & Cost: right-sizing, reserved/committed use planning, storage tiers.

Modernization Patterns

  1. Containerization & Templates: health checks, timeouts, retries, idempotency.
  2. Edge & Caching: CDN, WAF, rate limiting; connection reuse and backpressure.
  3. Data Stores: managed SQL/NoSQL, read replicas, archival tiers.
  4. Runtime Choices: containers, serverless, or hybrid based on SLOs & growth.

Data & Integration

  1. Database Migrations:replication/CDC, cutover windows, validation and reconciliation.
  2. Interfaces:adapters, APIs, and message bridges to legacy systems while migrating.
  3. Contracts:schemas and SLAs so teams can move independently and safely.

Security & Compliance

  1. Zero Trust:network segmentation, mTLS, least-privilege IAM/RBAC/ABAC.
  2. Secrets & Keys:rotation, encrypted stores, signed artifacts and SBOM.
  3. Evidence:change logs, access trails, DR drill results for procurement/reviews; TX-RAMP, HIPAA, PCI context where applicable.

Observability & SLOs

  1. Metrics/Logs/Traces: release markers for migration waves; error-budget alerts.
  2. Dashboards: before/after latency, availability, cost, and adoption trends.

Cost Optimization

  1. Right-Sizing & Autoscaling: target SLOs with minimal spend.
  2. Storage & Network: lifecycle policies, caching, egress awareness.
  3. Scheduled/On-Demand: scale-to-zero where viable; reserved/commit planning surfaced in reports.

Delivery Approach

  1. Assess & Plan — inventory, dependency maps, risks, and business case.
  2. Landing Zone — identity, network, policies, observability, cost guards.
  3. Wave Plan — rehost/replatform quick wins; identify refactor candidates.
  4. Execute & Validate — pipelines, cutovers, data checks, rollback drills.
  5. Modernize & Optimize — targeted refactors, SLOs, DR, and cost tuning in dashboards.

FAQs

Ready to Move with Confidence?