{"id":16531,"date":"2021-11-01T19:45:00","date_gmt":"2021-11-01T14:15:00","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=16531"},"modified":"2022-11-25T17:17:12","modified_gmt":"2022-11-25T11:47:12","slug":"cloud-migration-assurance-banking","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/cloud-migration-assurance-banking\/","title":{"rendered":"The impact of Cloud Migration Assurance on legacy banking applications"},"content":{"rendered":"
Legacy banking systems are decades behind as digital advancements continue to disrupt the sector. Cloud computing has long since crossed the line from experimental to mainstream. The next question is how quickly companies should adopt and convert to cloud computing.<\/p>\n
The developments in adjacent technology markets include Digitalization, where 28% of new enterprise IT spend, and >60% of annual IT spend, will be made on cloud-based offerings. Also, it is estimated that 40% of existing application software will be moved to the cloud by 2022.<\/p>\n
Containerization will become the default cloud API framework, and multi-cloud architectures will adopt open API stacks for flexible workload shifts. Cloud data centres are processing a large part of these workloads using hyper-scale data processing. Cloud-native AI platforms will fulfil the fast-emerging need for real-time high-sensitivity scientific analysis.<\/p>\n
Drivers for Cloud Migration<\/strong><\/p>\n There are multiple technologies as well as business drivers which are accelerating the adoption of the cloud.<\/p>\n Cloud Adoption Challenges for Legacy Banking Applications<\/strong><\/p>\n While the benefits of cloud migration are increasingly becoming evident in one way or another, migration to a cloud-based infrastructure and operational model comes with its own set of challenges that need to be addressed effectively to ensure the success of the migration.<\/p>\n Some of these can be categorized as,<\/p>\n System availability:<\/strong> While a transition from an on-premise to a cloud-based model is done, it is essential to ensure there is no impact on the customer experience regarding availability and performance, especially in the case of business-critical applications like Core Banking applications.<\/p>\n Data Consistency:<\/strong> Data is the most sensitive element of a BFSI ecosystem, and a major transformational program such as cloud migration can get quite challenging in this aspect. The various data sets such as product data, account data, and historical transactional data need to be carefully backed up and migrated onto the new cloud infrastructure. This whole process should not open any vulnerabilities in terms of access and obfuscation.<\/p>\n Security:<\/strong> In terms of the financial risks involved, Security ranks high for any BFS System. Compliance with the mandated security standards is a strict requirement. The system should also be safeguarded from any external attacks and insecure APIs.<\/p>\n\n