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!
VP of Data, Quix
Tun Shwe is the VP of Data at Quix, where he leads data strategy and developer relations. He is focused on helping companies imagine and execute their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career leading T-shaped teams in developing analytics platforms and data-intensive AI applications.
In his spare time, Tun goes surfing, plays guitar and tends to his analogue cameras.
Developer Advocate, InfluxData
Jay Clifford is a Developer Advocate for InfluxData. Before joining InfluxData he previously specialised in solving industrial pain points using Vision AI and OT connectivity. Jay now uses his experience within the IoT and automation sector to enable developers and industrial customers alike to realise the potential of Time Series data and analytics.