GoKawiilParseable's Data Lake Processes 100 Million Time-Series Data Points per Minute
Parseable has announced its open observability data lake capable of handling up to 100 million time-series data points every minute. The platform leverages large language models and traditional machine learning to analyze telemetry data, detect anomalies, and identify root causes in real-time. Recently, it identified a spike in error rates caused by exhausted connection pools in a checkout service, affecting over 6,400 users for more than seven minutes.