{"id":28655,"date":"2020-11-09T10:12:13","date_gmt":"2020-11-09T09:12:13","guid":{"rendered":"https:\/\/www.intellias.com\/?p=28655"},"modified":"2024-07-23T10:18:27","modified_gmt":"2024-07-23T08:18:27","slug":"cloud-optimization-strategy-for-a-digital-bank","status":"publish","type":"post","link":"https:\/\/intellias.com\/cloud-optimization-strategy-for-digital-bank\/","title":{"rendered":"Cloud Optimization Strategy for a Digital Bank"},"content":{"rendered":"
One of our clients is a UAE-based digital bank providing a revolutionary solution for trade finance services. This solution consists of multiple integrated commercial off-the-shelf products plus cloud-native and serverless applications along with an additional orchestration layer and data storage.<\/p>\n
Our cooperation with the client started with a comprehensive technology assessment<\/a> by our experts. It revealed strengths and gaps in the client\u2019s payment system design<\/a> and identified overprovisioning and underutilized resources. Our mature approach to the assessment and experience with cloud computing in banking convinced our client to entrust us with implementing a cloud optimization strategy for their digital banking solution<\/a>. This decision was a logical extension of the existing cooperation between Intellias and the Emirati bank, and it has led to remarkable results for both companies.<\/p>\n <\/p>\n The assessment conducted by the Intellias team showed that the bank\u2019s cloud infrastructure was robust and mature, though with some room for refinement. Intellias experts with experience in the implementation of cloud computing in banking<\/span><\/span>\u00a0were the right match for the task.<\/p>\n To reduce the bank\u2019s overall cloud spending, we focused on five areas that needed improvement:<\/p>\n After a thorough analysis of every IDE, we decided which of them weren\u2019t critical for seamless updates of the bank\u2019s systems and could be decommissioned as part of a cost-cutting cloud optimization strategy<\/a>. We shut down the redundant IDEs, thus reducing expenses on cloud resources and software licenses.<\/p>\n We used the same approach to optimize subscriptions for hardware and services. Based on current resource utilization, we optimized the sizes of virtual machines and Azure services. To sustain system performance at the required level and address possible spikes in demand, we implemented Azure Autoscale. We also implemented the Azure Monitor tool to track performance metrics.<\/p>\n Furthermore, we applied cloud cost optimization<\/a> methods to Azure Cosmos DB:<\/p>\n The comprehensive assessment we conducted earlier allowed us to gain deep insights into our client\u2019s business needs and adjust the bank\u2019s disaster recovery strategy accordingly. The disaster recovery changes we introduced have made our client’s infrastructure for banking in the cloud more cost-effective.<\/p>\n Intellias experts also enhanced the cybersecurity<\/a> of our client\u2019s system to keep the banking solution compliant with all regulatory requirements. We closed security gaps with native Azure solutions such as Privileged Identity, Access Management, Azure Disc Encryption, and Advanced Threat Protection. We also implemented an additional firewall layer and adopted Splunk technology.<\/p>\n Drawing on vast expertise in cloud computing in the banking sector, Intellias engineers implemented a cost-cutting cloud optimization strategy that has helped our client efficiently allocate business resources. Our initiatives have reduced the total cost of cloud infrastructure ownership by 30%.<\/p>\n We also significantly strengthened the security of our client\u2019s digital banking solution as required by industry and government regulations.<\/p>\nSolution delivered<\/h2>\n
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Business outcome<\/h2>\n