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Key Result Highlights
- 60% reduction in storage costs.
- 21% reduction in compute costs.
- 80% cost reduction in IoT services using edge computing.
The Client
The client is a leading provider of integrated investment management solutions.
The Challenge
The client sought to transition from a product-based model to a SaaS model to accelerate its go-to-market strategy. They needed support in maintaining their infrastructure and cloud platform during this shift.
Critical Success Parameters
- Assess the client’s existing infrastructure and recommend an appropriate delivery model.
- Implement infrastructure automation to ensure quick turnaround times for the client.
- Maintain optimal service levels across different client locations.
Our Approach
- Magic implemented a shared service model with a centralized Cloud Ops team in Noida, India, managing ITOps across multiple client locations.
- Deployed a 24/7 multi cloud operations team skilled in AWS, GCP, and Azure to ensure continuous performance and system reliability.
- Established a cloud ops team to support end-users via various channels like email, chat, hotline calls, and a ticketing system (web portal).
- Engaged experienced Cloud DevOps professionals to manage Cloud Automation, DevOps, Infrastructure as Code, and complex engineering projects.
Need Similar Results?
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