About Lumo
A California-based agricultural technology company that builds cloud-based solutions to help growers monitor, control, and optimize water usage at scale.
LUMO leverages modern cloud infrastructure to deliver reliable, data-driven irrigation management, supporting growers in addressing water scarcity and improving operational efficiency.
Problem
LUMO was using a vendor-based observability solution to collect logs, metrics, and traces across all AWS Kubernetes (EKS) environments.
As platform usage grew, the observability model began to introduce operational and financial challenges.
The Main Issues
- Usage-based pricing led to unpredictable and increasing observability costs
- Log ingestion costs created end-of-month billing uncertainty
- Strong dependency on a single vendor reduced architectural flexibility
- Scaling observability became harder without scaling costs proportionally
Technical Challenges
- Observability had to remain fully available during any transition
- Applications were already instrumented and running in production
- Telemetry needed centralized governance and consistent enrichment
- Retention and data growth required tighter control without licensing constraints
This created a clear mandate: Move from Datadog to a sustainable, cost-predictable, open-source observability platform without losing visibility at any stage.
