Saving the Holidays with Quix and InfluxDB: The OpenTelemetry Anomaly Detection Story

Session date: Dec 12, 2023 08:00am (Pacific Time)

The holiday season is upon us – make sure you don’t get pulled away from the holiday fun because of a broken data pipeline!

OpenTelemetry is an open-source tool that offers a standardized way for instrumenting your code and producing telemetry data. Collect, Store, and Act are the three pillars to building any time series-based solution. These pillars simultaneously present questions about data querying, anomaly detection, and forecasting. Python developers use Quix to integrate their data sources and build event-driven apps with AI features that scale. InfluxDB is the purpose-built time series database.

Join this session to explore best practices for crafting a scalable time series data pipeline with OpenTelemetry, Quix, and InfluxDB. We will walk through the process of creating, training, and deploying a machine learning model, utilizing the power and flexibility of Keras and Hugging Face for anomaly detection.

In this webinar, Tun Shwe and Jay Clifford dive into:

• OpenTelemetry’s key concepts and how it leads to observability best practices.
• Tips and tricks for managing time series data with InfluxDB.
• Model training and storage: Dive into model creation and deployment using Keras and Hugging Face.
• Building and deploying a resilient data pipeline with built-in open source connectors in Quix.

Save Christmas, Hanukkah, and New Year’s Eve by building scalable architectures with Quix and InfluxDB!