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Explore the fundamentals and advanced concepts of time series databases in this comprehensive conference talk that demonstrates how to effectively work with time-stamped data at scale. Learn to harness the power of modern time series databases like InfluxDB alongside .NET and Grafana to build systems capable of handling everything from user behavior tracking to stock market monitoring. Master essential techniques for managing high cardinality data scenarios where unique tag combinations generate millions of data points, while discovering efficient methods for writing data using line protocol and querying with SQL. Understand how to scale your applications seamlessly from thousands to millions of data points without sacrificing performance, and see practical implementations through real-world examples that showcase systems designed to analyze historical data, monitor current conditions, and enable predictive capabilities. Gain valuable insights into handling massive amounts of granular data both efficiently and cost-effectively, making this session ideal for backend developers, full stack engineers, and anyone beginning their journey with time series data management.
