1,000+
internal users kept online through the migration
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CATS
Monitoring Modernization, Elasticsearch Cluster Migration, and AI Support
About the client
CATS, the technology arm of Crédit Agricole, manages applications for the group's employees and customers, including a business chatbot.
The DevOps team is responsible for keeping infrastructure operational, supporting innovation, and modernizing monitoring and data management.
The business challenge
Auditing and migrating the Elasticsearch cluster to an IaaS/SaaS solution
The engagement began with an audit of the existing Elasticsearch cluster, which was aging and no longer compliant with the group's standards. Following a market study and discussions with the vendor, a migration to an IaaS/SaaS solution managed by CAGIP was planned.
This 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
Modernizing monitoring and managing incidents proactively
Advanced monitoring was deployed using Python, Grafana, and Elasticsearch, with proactive incident tracking and regular backups. The result: stronger resilience and effective prevention of critical data loss.
Implementation
Industrializing DevOps and preparing for AI workloads
The CI/CD pipeline was industrialized with GitLab, Ansible, Artifactory, and SonarQube, streamlining the deployment and testing of innovative business applications. Innovation teams now benefit from an optimized DevOps process that accelerates the rollout of new services.
The infrastructure was also adapted to support AI applications, including GPU resource management and performance optimization, to ensure availability and scalability for these new use cases.
Measurable results
Technical benefits: optimized monitoring, a high-performing cluster, and efficient DevOps
- Modernized and hardened 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 support for business and innovation teams, with infrastructure ready for AI use cases.
Several TB
data migrated to IaaS/SaaS with zero disruption
GPU-ready
infrastructure scaled for AI workloads