Case Study: SAP Concur achieves scalable, reliable logging and end-to-end DevOps ownership with Elastic

Concur - Customer Case Study

SAP Concur, a global leader in travel and expense management serving 45 million end users and 70% of the Fortune 500, faced scaling and operational challenges as it shifted from a monolithic to a DevOps-driven, end-to-end ownership model. Their legacy XML/SQL logging pipeline struggled with performance and scalability (peaks around 1,500 logs/sec and 200 GB/day), while the company’s diverse tech stack and rapid growth demanded a reliable, secure, and centrally managed logging and monitoring platform.

Concur built a multi‑phase centralized logging service on the Elastic stack—moving from Elasticsearch 1.x to 5.x with Beats/Logstash/Fluentd ingestion, Kibana visualization, Watcher alerts, and enterprise security—backed by automation (GitHub, Jenkins, Terraform, Ansible) and codified ops playbooks. The service became a core “dial-tone” infrastructure used across teams, scaling to 60–80k docs/sec and ~4–5 TB/day, enabling company-wide dashboards, SAML/OKTA access, improved GDPR/security posture, fully automated deployments and monitoring, and a roadmap for machine‑learning–driven ops insights.

SAP Concur

Marcel Matus

Development Manager