Detecting Anomalies in Logs with Time Series Analysis

Learn to identify unusual patterns in cloud infrastructure logs using time series analysis techniques in this conference talk from Conf42 Observability 2025. Explore common cloud cost issues and discover how proactive cost management can help organizations avoid unexpected expenses. Understand the challenges involved in analyzing large volumes of cloud logs and examine various anomaly detection techniques, including machine learning methods specifically designed for time series data. Discover Google Cloud's time series solutions and their practical applications for log analysis. Review real-world use cases that demonstrate successful implementation of anomaly detection systems in production environments. Follow along with a hands-on demonstration showing how to detect anomalies using BigQuery for practical time series analysis. Gain insights into building robust monitoring systems that can automatically identify cost anomalies and operational issues before they impact business operations.