Financial services
Maintain continuous compliance, speed innovation, safeguard data and reduce risk
Maintain continuous compliance, speed innovation, safeguard data and reduce risk
IBM® Cloud® helps meet the needs of the financial services industry for their mission-critical workload and data protection, with our compliance capabilities and industry-leading security. Developers can build applications in a secured environment using Red Hat® OpenShift® on IBM Cloud and modernize legacy systems to improve operational efficiency, reduce costs and time to deployment.
Problem: A mortgage company processes 70 million records a day, but their on-premises system was slow and inaccurate, taking 6 – 9 weeks for major app upgrades. IT expenses were high, and hardware wasn't utilized fully.
Solution: To improve risk analysis, the company looked to Red Hat OpenShift on IBM Cloud and IBM Cloud analytics services to reduce costs, increase availability and ultimately accelerate regulatory compliance. With Red Hat OpenShift on IBM Cloud in multiple regions, apps can be containerized and deployed across the globe, improving availability and addressing local regulations.
IBM Cloud Satellite extends Red Hat OpenShift on IBM Cloud, creating a common infrastructure management layer across any number of on-prem, edge and multi-cloud environments.
Existing enterprise assets and app lifted-and-shifted while they enabled the integration to some on-premises systems that won't be migrated
Time-to-deploy solutions shortened and standard DevOps and monitoring processes implemented to address bugs that affected reporting accuracy
Access all services in the solution from the IBM Cloud catalog when you create your IBM Cloud account.
Access high availability, scalable compute resources and application modernization.
Deploy and run apps consistently across on-premises, edge and any cloud vendor.
Use a fully managed private registry designed to securely store and distribute container images.
Support exponential data growth with built-in high-speed file transfer.
Use a data-processing engine for Big Data built for machine learning and artificial intelligence.
Access a scalable, distributed database used for web, mobile, IoT and serverless applications.