
Supporting scalability: DoiT helps Folloze achieve cost-effective growth with a full AWS migration
Folloze and DoiT partnered to finalise the migration, boosting performance by 30% and optimizing costs for future scalability.
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MomentumX is a technology company that builds cutting-edge products for digital media companies. Its primary objective with DoiT was to successfully execute a complete migration to Amazon Web Services (AWS).
In addition, DoiT supported MomentumX in reviewing existing documentation and ensuring all key stakeholders were aligned across the migration plan.
The initial consultancy involved DoiT working with various different sections of the business to understand how each of them needs to interact with the infrastructure and continue to deliver value to MomentumX. When considering the most appropriate architecture, some key considerations for DoiT included:
MomentumX’s brand is internationally recognized in a hugely competitive market, so reputation management was a priority that all departments were keen to stress.
DoiT needed to ensure:
MomentumX now benefits from the latest advances in AWS for the continued development of their infrastructure, giving them freedom from the constraints of the previous incarnation.
Once DoiT had completed the initial review phase, it documented and implemented an action plan agreed with the customer.
Through the course of multiple architecture review sessions, DoiT ensured alignment among all stakeholders on the recommended changes. These changes were designed to leverage modern cloud-based architecture running on AWS to optimum effect. Since onboarding to DoiT and completing the AWS migration, MomentumX has benefited from DoiT’s unique unlimited zero-cost support, consulting and training provision.
Working with the customer on the current implementation and documentation, we were able to establish a number of areas where we could change the customer’s design and deployments to align with the following:
Folloze and DoiT partnered to finalise the migration, boosting performance by 30% and optimizing costs for future scalability.
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