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CATS (Crédit Agricole)

Modernizing Monitoring, Migrating the Elasticsearch Cluster, and Enabling AI Adoption

DevOpsCloud InfrastructureAI InfrastructureBanking

About the client

CATS, the technology arm of Crédit Agricole, runs applications for the group's employees and clients, including a business chatbot. Its DevOps team is responsible for keeping infrastructure operational, driving innovation, and modernizing monitoring and data management.

Services

Monitoring & ObservabilityPythonGrafanaElasticsearchGitLabAnsibleArtifactorySonarQube

Industry

Banking

The business challenge

The engagement began with an audit of CATS's existing Elasticsearch cluster, which was aging and no longer compliant with group standards. Following a market review and discussions with the vendor, a migration to an IaaS/SaaS solution managed by CAGIP was planned. The migration involved several terabytes of data and hundreds of servers and dashboards, all while maintaining service continuity for more than a thousand internal users.

Our solution

Advanced monitoring was deployed using Python, Grafana, and Elasticsearch, with proactive incident tracking and regular backups. The result was stronger resilience and effective prevention of critical data loss.

Implementation

The CI/CD pipeline was industrialized with GitLab, Ansible, Artifactory, and SonarQube, streamlining the deployment and testing of business-critical applications. Innovation teams now benefit from an optimized DevOps process that speeds up the rollout of new services. Finally, the infrastructure was adapted to support AI applications, with GPU resource management and performance tuning to guarantee availability and scalability for new use cases.

Measurable results

  • Modernized and secured monitoring and data cluster, compliant with group standards
  • Increased resilience through proactive incident management
  • DevOps industrialization, accelerating innovation and the delivery of business services
  • Successful enablement of business and innovation teams, with infrastructure ready for AI use cases
Multi-TB
data volume migrated
Hundreds
servers and dashboards migrated
1,000+
internal users supported with no service interruption