Cloud Application Strategy

Properly Prepare For Your Cloud Migration with Angelify's Expert Insights.

Overcome Cloud Barriers. Trust in Connectivity. Significantly Reduce Costs.

Angelify services focus on moving enterprise workloads to the cloud.

We are bringing cloud computing to the businesses. We also understand the challenges facing all large enterprise customers, specifically in areas such as security and compliance. Our wealth of knowledge, innovation, and real-world experience makes us a trusted partner for your critical cloud initiatives. Our breadth of experience gives us unparalleled insight into the benefits, challenges, and risks associated with cloud-based solutions.

Approach to Your Cloud Journey

Our ultimate approach and innovative platform enable us to move customer workloads quickly, efficiently, affordably – and with predictable results. Achieve a successful cloud migration by aligning business and technical goals to a cloud strategy, mapping workloads to the right cloud infrastructure, forecasting spend and setting budgets.

Assessment & Planning

  • The Migration Readiness Assessment is based on AWS Cloud Adoption Framework and evaluates your organizations cloud competence, capability and commitment. After the assessment, Angelify provides the assessment report with suggested actions and Statement of Work (SOW) for this Phase.
  • Validated foundational capabilities in place to both migrate and operate, including: landing zone implementation, operations model design, and security & compliance design.

Migration

  • Determine migration patterns and cloud design per application, select workload migration tools and migrate applications per prioritized application backlog
  • Design document for applications running in the target environment
  • Migrate, integrate, validate and cut-over the application

Manage & Optimization

  • Manage performance with automated Cloud Management Platform – Atlas
  • Continuous optimization: well-architected assessment with reports for cost optimization and performance optimization