Azure Database Migration (2 to 6 months Implementation)

Saxon Global Inc.

Empower Your Enterprise: Unleash the Potential of Azure for Streamlined SQL Server Migration and Cloud Excellence.

Overview

Streamline your cloud migration journey with Azure. Enjoy significant cost savings, enhanced agility, and accelerated revenue growth, backed by impressive metrics like a 283% ROI and a 12-month payback period. Saxon AI specializes in fast-tracking this transition, leveraging cutting-edge tools to optimize business operations on Azure.

Azure delivers up to 40% in total cost of ownership savings compared to on-premises solutions and other cloud providers. Through the Cloud Adoption Framework, we tailor a financial model for swift deployment of new client environments, leveraging Azure's elasticity and global reach.

Additionally, our Azure Database Migration Service (DMS) simplifies database migration, ensuring minimal downtime and peak performance. Whether transitioning from on-premises SQL Server, or other systems, Azure DMS provides a seamless path to a modern data platform.

Disclaimer :

Pricing is indicative and subject to change based on the duration and project scope.

Phase wise approach

Phase I : Define Strategy

  • Define business justification and migration goals.
  • Assess digital estate and prioritize workloads.
  • Derive Migration approach.
  • Calculate costs, ROI, and identify risks.
  • Develop timeline and engage stakeholders.

Phase II : Migration Planning

  • Prepare Landing zone for migration
  • Prepare tools and initial migration backlog
  • Select Azure regions for migration
  • Align roles and responsibilities
  • Incorporate skills readiness for migration

Phase III: Getting Ready for Migration/Pre-Migration

  • Document naming and tagging standards
  • Use Ia C modules
  • Filter the IaC registry
  • Deploy Enterprise-scale landing zone
  • Set up a data management zone
  • Expand Landing zone with data
  • Build data management and landing zone

Phase IV: Cloud Adoption/Actual Migration

  • Classify and evaluate workload readiness.
  • Architect and deploy workloads with supporting services.
  • Remediate and replicate assets as needed.
  • Prepare for management and conduct migration testing.
  • Initiate change communication and business testing.
  • Complete migration, optimize costs, and conduct retrospectives.

Phase V : Post Migration

  • Assess Workloads
  • Monitor & improve 5 pillars of WAF
  • Release Workloads

Key Deliverables: Upon completion, you'll receive

  • Inventory Assessment report
  • Migration Plan
  • Replication Configuration details
  • Testing Plan
  • Test Migration Results
  • Cutover Plan
  • DNS and N/WConfiguration
  • Decommissioning Plan
  • B&R Plan
  • Performance Benchmarks
  • Comprehensive documentation of the entire migration life cycle
  • Post-Migration Review

Cloud migration can be done in several ways. The simplest is a lift-and-shift approach, but often assets need customization, refactoring, or re-architecting to fully utilize the cloud. This involves optimizing assets at the core level for a smooth transition.

Why choose Saxon AI's Azure Migration?

Saxon AI is a data and analytics company specializing in industry-specific solutions to make organizations more insights-driven. Our certified Azure experts optimized migration strategies.

Key benefits include:

  • Seamless migration and cost optimization
  • Compliance with standards
  • Ongoing specialist support
  • Clear roadmap for cloud goals and ROI

Conclusion

Ready to unleash the full potential of your business with Azure?

With Saxon AI's Azure Database Migration, you embark on a strategic cloud transition that's in perfect harmony with your enterprise goals, driving innovation and expansion. Leverage the expertise and proven methodologies of our seasoned Azure Migration experts to enhance operational agility and accelerate your path to market.

Reach out today at Sales@Saxon.ai to kickstart your journey towards a more cost-efficient Azure environment.

Disclaimer: This timeline really depends on architecture portfolio of the customers enrollments i.e. number of workloads, Data Volume, dependencies etc.

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