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Elastic-Powered Financial Monitoring for a Global Financial Services Leader

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2x scalability with optimized architecture

Client

The client is a globally recognized leader in digital financial services, specializing in risk management, secure financial transactions, and digital transformation. They operate globally, supporting banking, payments, and infrastructure modernization efforts.

Project Context

The client aimed to migrate monitoring data from existing tools to Elastic Cloud, focusing on synthetics, infrastructure monitoring, and AI-driven observability.

Challenges

- Disparate monitoring tools with inconsistent coverage
- Need for scalable platform with anomaly detection
- Efficient space and access management

Solution

- Migrated to Elastic Cloud and implemented GitOps
- Configured Elastic Agent, RBAC, and Kibana spaces
- Set up ML jobs, alerting rules, and custom dashboards

Project Objectives

- Migrate to Elastic Cloud for unified observability
- Implement synthetics and infrastructure monitoring
- Use ML jobs and Kibana alerting for real-time insights

Solution Delivery

SquareShift enabled synthetics, machine learning, and log analytics on Elastic Cloud. Their GitOps approach ensured efficient, version-controlled deployments and RBAC-based user access.

Testimonial

We now monitor operations in real time and predict issues before they occur -Elastic transformed our visibility.

Technology Stack

To explore the full scope, use the download link below.

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