InfluxDB and Flux Deep Dive: A Practical Guide to Time Series Data Modeling, Analytics, Real Monitoring for Engineers Scientists

Time-series data powers today's most demanding systems-from IoT sensors and DevOps metrics to financial analytics and AI-driven observability. InfluxDB and Flux Deep Dive is your complete, hands-on guide to mastering the database and language built for real-time data.Written for engineers, developers, and data scientists, this book takes you from first principles to production-grade solutions. You'll learn how to design efficient schemas, write and optimize Flux queries, automate data collection with Telegraf, and build end-to-end monitoring stacks with Grafana. Each chapter blends practical examples, detailed explanations, and proven best practices so you can confidently apply what you learn to any time-series use case.Inside, you'll discover how to: - Understand and write data using InfluxDB's line protocol and HTTP API- Use Telegraf for system, Docker, and custom metric ingestion at scale- Master Flux for advanced querying, transformations, and real-time analytics- Perform downsampling, rate calculations, and windowed aggregations- Connect InfluxDB to Grafana to build dynamic dashboards and alerts- Tune performance for high-volume writes and efficient data retention- Migrate from InfluxQL to Flux with clear, tested patternsWhether you're monitoring distributed systems, analyzing sensor streams, or architecting real-time dashboards, this guide equips you with the technical depth and clarity to make InfluxDB and Flux work for you.Perfect for: Software engineers, data analysts, DevOps practitioners, IoT developers, and anyone working with time-series databases, metrics pipelines, or observability platforms.