Case Study: OutSystems achieves 100% uptime and real-time observability with Confluent Cloud

OutSystems Powers Reliable, Low-Code AppDev With Streaming Data Pipelines

OutSystems, a global provider of a high‑performance low‑code application development platform, needed to improve real‑time observability and reliability so developers and customers could monitor and troubleshoot apps with minimal downtime. Facing frequent pipeline failures, high latency, and missed SLAs, OutSystems selected Confluent Cloud to make streaming data a central part of its data strategy and restore confidence in platform uptime and developer experience.

Using Confluent Cloud, Confluent helped OutSystems implement declarative, governed streaming data pipelines (with Schema Registry and Stream Lineage) on AWS, enabling self‑service access, real‑time telemetry, and customer 360 analytics. The migration cut operational costs by about 20%, freed up the equivalent of up to two full‑time employees from Kafka operations, met the internal 99.95% SLA (achieving 100% uptime), and now processes billions of daily records to power observability and product insights.

OutSystems

Ambarish Kumar

Manager–Data Platform