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Case Studies > Global bank accelerates software releases and optimizes customer experience

Global bank accelerates software releases and optimizes customer experience

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - API Integration & Management
  • Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
  • Quality Assurance
Use Cases
  • Predictive Maintenance
  • Digital Twin
  • Real-Time Location System (RTLS)
  • Remote Asset Management
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • System Integration
The Challenge
As a digital bank serving 31 countries across the globe, the financial services company has a wide range of software-based products that support customer offerings, such as personal banking, home loans, wealth management, and small-to-medium business services. With software delivery as a backbone of the business, the digital bank was continuously striving to mature its DevOps processes to better serve customer needs and address market opportunities. To achieve this, one essential call-to-action was to pursue a data-driven approach for strategic planning and decision making. For the DevOps team, that meant having data to understand issues as they arise and the insights to derive optimum solutions. DevOps also needed data that would empower them to move at a fast velocity to deliver software to customers. Having good observability and telemetry data on the digital environment was an essential foundational component to enabling fast and intelligent development decisions.
About The Customer
The customer is a global digital bank serving 31 countries, offering a wide range of financial services including personal banking, home loans, wealth management, and small-to-medium business services. The bank relies heavily on software delivery to support its diverse customer offerings and is committed to continuously improving its DevOps processes. The organization serves 1.6 million customers and generates a high volume of data from its multiple products and services. The bank has adopted a multicloud strategy, utilizing both Amazon Web Services (AWS) and Google Cloud to manage its critical digital assets and ensure seamless service delivery.
The Solution
The financial services company adopted Sumo Logic’s cloud-native solution to provide the continuous intelligence that would help the engineering team on their DevOps journey. The solution ingests and analyzes data from their production digital banking platform, as well as their lab and beta experimentation environments. As part of this undertaking, the organization concentrated all of its log files from Amazon Web Services (AWS) and Google Cloud into Sumo Logic and then configured customized dashboards to address precise needs. Sumo Logic’s log monitoring and custom dashboards provide the organization with a single pane of glass visibility across the DevOps environment and projects. The team implemented a range of dashboards on their digital environment to gain measurements around the customer experience, including the availability and performance of the banking platforms. Recently, the financial services company implemented a multicloud strategy, moving some data from AWS to Google Cloud. With Sumo Logic, the DevOps team was able to ingest and monitor this telemetry from both AWS and the Google Cloud environments in real time, providing a consolidated dashboard view to track progress and ensure smooth operations.
Operational Impact
  • Sumo Logic collects data from log files and event streams, providing the financial services organization with a central data store and advanced analytics to detect errors, anomalies, and other platform analysis.
  • Sumo Logic’s cloud-native, elastic scaling architecture makes it easy for the digital bank to handle the growing data volume.
  • The organization has over 45,000 searches and inquiries coming through their teams on a monthly basis, indicating strong user adoption of the Sumo Logic platform.
Quantitative Benefit
  • Sumo Logic ingests and analyzes 416 gigabytes of data each day.
  • The multicloud strategy involved moving data encompassing 70 different microservices that process 2,000 transactions per second.

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