Cloud Migration for SaaS Platform
Invevo saved £10,000 a week in legacy costs through tech refresh and cloud migration
Invevo saved £10,000 a week in legacy costs through tech refresh and cloud migration
Invevo overcame challenges with their monolith application by implementing DevOps practices, automating processes, migrating to Microsoft Azure, and ultimately consolidating their platform. They benefitted from faster feature releases, improved responsiveness to customer needs and cost savings of £10,000 per week on infrastructure and management. Invevo’s transformation truly exemplifies the benefits of DevOps, automation, cloud migration, and consolidation when done well.
Invevo is a SaaS credit management platform. The company faced significant challenges with their existing software, which was a monolith application that posed difficulties in maintenance and updates. The process of implementing any change, regardless of its scale, required manual coding, testing, and deployment. This resulted in a substantial consumption of developer hours and hindered the timely rollout of updates. Moreover, the manual process introduced a risk of human error, further impeding the overall efficiency of the system.
Mad Panda supported Invevo to implement the following solutions to address their challenges:
Invevo were able to respond so much faster to support their customer needs and were able to roll out enhancements and new features at lightening speeds. A massive cost saving of £10,000 per week by moving to the cloud was a real bonus too!
Consolidating all clients onto a single platform significantly reduced the complexities around support and enhanced overall operational efficiency. And introducing automation meant the dependency on the development team to be available out of hours completely went away.
Happy customers. Happy team. Happy client.
“Using the DevOps mantra, we were able to drastically improve our software development process and doing so benefited our overall operations.
The migration to Microsoft Azure alone saved £10,000 a week in costs associated with maintaining our legacy system.”