Datasheet

Key Elements of Data Pipeline Control

Key elements of data pipeline control

Observability data is valuable. However, those who understand the content of observability data know that neither all data streams nor all portions of event data are relevant or useful. The cost of running observability and SIEM solutions like Splunk, Datadog, QRadar, etc., is directly influenced by the volume of data ingested. These costs primarily comprise the cost of licensing and infrastructure required to support the processing and storage of data volumes. The higher the volume, the more expensive it is to run these solutions. With Apica’s LogFlow, you can analyze the quality of data flowing through data pipelines into these systems while exercising complete control over the data’s quality, relevance, and volume. With LogFlow as a sidecar to your existing observability system, organizations can instantly reduce their TCO of these systems by up to 95%.