In this example, a reliable data pipeline is configured using InfluxDB and Amazon Web Services (AWS) to collect time-stamped data from industrial equipment. The pipeline uses Telegraf as an open-source data-collection agent to read data from AWS IoT Core's Kinesis stream, which stores the data in InfluxDB. To ensure scalability and flexibility, the setup includes a DynamoDB checkpoint table for storing intermediate results. The configuration also utilizes Docker containers with InfluxDB and Telegraf instances running on an EC2 instance, allowing for easy deployment and management of the pipeline. By leveraging AWS services like IoT Core, Kinesis, and Lambda, and open-source tools like Telegraf and InfluxDB, this setup enables efficient data processing and analysis for industrial operations, providing valuable insights into machinery performance and enabling predictive maintenance.