Amazon Chronos is a transformer-based, pre-trained foundation model designed for time-series forecasting within the AWS ecosystem, offering a significant shift from traditional methods like ARIMA and exponential smoothing by eliminating the need for manual feature engineering and parameter tuning. Chronos leverages a transformer architecture to process numeric data as tokens, using a self-attention mechanism to capture both immediate and long-term trends, allowing it to provide reliable forecasts without prior training. This model excels in scalability, handling millions of parallel series, and offers probabilistic ranges for robust risk planning, making it suitable for diverse applications like sales forecasting and real-time anomaly detection. With its integration into AWS services like SageMaker and Bedrock, Chronos simplifies deployment and scaling while maintaining high accuracy, as evidenced by its performance on public benchmarks. The streamlined Chronos-Bolt variant enhances speed, making it ideal for production environments where rapid predictions are crucial. While traditional methods may still be preferred for their interpretability in specific scenarios, Chronos offers a versatile and efficient alternative, particularly when data history is limited or when numerous time series need forecasting.