Grupo Islas, an industrial group based in Latin America, is dedicated to delivering turnkey water treatment and reuse projects. With the vast amount of time series data generated by water treatment plants, efficient data management and analysis presented a challenge. Monitoring metrics such as flow rates, pressure levels, pH, temperature, and pump status was cumbersome, leading to delayed insights and slower decision-making.

In their use case with IslasCloud, Grupo Islas integrated InfluxDB Cloud Serverless to improve their ingest capacity and scalability. This technology allowed them to store huge volumes of time series data while enabling real-time querying and analysis. By leveraging the flexibility of Cloud Serverless, they can swiftly generate detailed reports, set up custom alerts, and optimize plant operations, ensuring prompt action on any irregularities.

The impact of InfluxDB has been significant to both Grupo Islas operations and their customers. The system’s responsiveness and robust data-handling capabilities minimized downtime and reduced operational costs, while customers now experience a more reliable, optimized plant performance, leading to faster issue resolution and enhanced overall efficiency.