- Serviços de consultoria
Azure Lift And Shift Migration (2 to 6 months Implementation)
Propelling Progress: Lift and Shift Migration with Saxon AI - Your Launchpad to Cloud Excellence
In the dynamic landscape of today's business, agility and rapid innovation are key to staying competitive. Companies are constantly seeking ways to harness the power of the cloud to fuel growth and adapt to the ever-evolving market demands. Saxon AI, as a seasoned Azure Expert MSP, stands at the forefront of enabling such transformations.
Our expertise in cloud migrations is built on a foundation of proven methodologies that have been honed over numerous successful projects. At Saxon AI, we understand that each application is unique, and so is its server footprint. Therefore, we adopt a granular approach, considering the individual servers that constitute an application, ensuring a balanced and effective migration service.
Pricing is indicative and subject to change based on the duration and project scope.
Upon completion, you'll receive
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.
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.
Ready to elevate your business to new heights with Azure?
With our Lift and Shift Migration, you embark on a seamless cloud transition that aligns perfectly with your business objectives, fostering growth and innovation. Utilize the knowledge and tested strategies of our experienced Lift and Shift Migration specialists to boost operational flexibility and hasten your journey to market.
Reach out today at info@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.