Dynatrace was the clear winner, offering more advanced insights through its AI capabilities, a superior frontend and user interface, and more options for customization, which was important due to the complex and unique nature of the metrics and KPIs the bank needed to monitor. The views expressed here regarding the model formula and CPU and. When planning its cloud migration, the bank knew it must build observability into its roadmap from the outset to ensure minimal business disruption.Īlpha Bank evaluated the market and conducted a proof of concept with two solutions. System Monitor - Performance Monitoring Services 5.5 (hereafter referred to as. Alpha Bank needed an observability solution to reduce complexity and minimize any impact of the migration on end users.Īlpha Bank was already familiar with Dynatrace, having used the Dynatrace® Software Intelligence Platform in its existing environment since 2019, so it understood the importance of monitoring its infrastructure and applications. It involved restructuring hundreds of services and understanding their dependences. However, the journey to containerization was complicated. Alpha Bank also rearchitected its applications using microservices and containers to give teams more flexibility and control when deploying new functionality and services. To enable this, it migrated the CBS from a traditional on-premises environment to a private cloud, underpinned by OpenShift. Alpha Bank, one of Greece’s largest banks, needed to transform its core banking system (CBS) to improve stability, agility, and delivery times.
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