I'm Zoe Steinkamp, a Developer Advocate for InfluxData with a background in front-end software engineering. I'm passionate about making developers' lives easier and helping them engage with InfluxData's database platform, open-source tools, and time-series data solutions. I also have a keen interest in data science. Outside of work, I enjoy traveling and gardening. Feel free to connect with me on LinkedIn, and I look forward to sharing insights and knowledge at virtual and in-person events.
In today’s dynamic DevOps landscape, ensuring seamless observability across diverse data types is a pressing challenge. Join Zoe for an immersive 2-hour training session and take a dive into the heart of observability, using the powerful synergy of OpenTelemetry, InfluxDB 3.0, Jaeger, and Grafana.
You’ll embark on a journey of discovery in this comprehensive workshop that demystifies the intricacies of collecting traces, logs, and metrics within a unified database. This talk will guide you through fundamental questions that arise when dealing with various time series data types, including schema design and data conversion techniques. Through engaging hands-on exercises, you’ll learn how to deploy the open telemetry demo—a captivating simulation of real-world traces, logs, and metrics. Witness firsthand the magic of orchestrating the collection process using the OpenTelemetry Collector and seamlessly streaming data into InfluxDB 3.0. By the end of this transformative workshop, you’ll not only grasp the technical aspects but also gain a profound understanding of the theoretical underpinnings of OpenTelemetry. This workshop will help you become the observability champion your organizations needs, whether you’re a seasoned DevOps engineer or just stepping into the world of observability.
Columnar databases are on the rise! They provide an efficient and scalable data warehouse for many use cases including time series data. The problem? many conventional database drivers and querying methods become the bottleneck for data processing and analytics within our client-side applications. Learn how to leverage open-source projects like Apache Arrow Flight and Apache Parquet alongside industry-standard analytics libraries to build the foundations of a performant analytics application for time series data.
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