Query and code together with Flux

A powerful language from the makers of InfluxDB that allows developers to see across time.
Influx

What is Flux?

Flux is a standalone data scripting and query language that increases productivity and code reuse.

Flux is optimized for ETL, monitoring, and alerting, with an inline planner and optimizer.

Flux is the result of the open source community driving innovation with time series data.

Why use Flux?

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    Flux is fun:

    Flux is easy to learn and highly productive, with great readability. Flux has a command line interface and a web-based UI for point-and-click scripts.

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    Flux is productive:

    Flux is composable. Developers can build on top of the language for specific use cases. You can include other Flux modules in the code and contribute new functions to the platform.

    Since Flux queries are code, they can be tested and checked into source control systems. Parts of queries can be tested in isolation, and complex queries can be built from separately tested sub-components.

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    Flux supports multiple data sources:

    The ability to integrate with other systems is a core design feature of Flux. Integrate disparate data sources, including databases, third-party APIs or filesystems anywhere data lives.

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    Flux is extensible:

    New contributors of Flux functions and libraries can engage easily without knowing all the internals. Join our marketplace of industry-specific functions like dollar-cost averaging and dwell-time provisioning.

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    Flux lets you cross-compile:

    Work on top of Flux with other syntax like PromQL, InfluxQL, and others. Flux works on a single optimizer that plans against different sources.

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    Flux integrates with your tools:

    Flux plays nice with analytics tools and environments like Jupyter and uses the Apache Arrow data interchange format to speed integration with big data analytics systems.

Getting Started with InfluxDB and Pandas
InfluxData prides itself on prioritizing developer happiness. A large part of maintaining developer happiness is providing client libraries that allow users to interact with the database through the language and library of their choosing. Data analysis is the task most broadly associated with Python use cases, accounting for 58% of ...
Using Serverless Flux to Monitor Website Response Times
My holiday challenge to explain serverless InfluxDB to my family produced a useful Flux script anyone can put to work today. Before we dive into the code, let me outline the high-level approach to gathering and visualizing how long it takes a website to respond to an HTTP request: Create ...

DEEPER INSIGHTS WITH FLUX

Webinar: Flux and InfluxDB

code.talks 2019 — Using Cross-Measurement Math to Synthesize Sensor Data

Introduction to Flux and Functional Data Scripting

Where Flux and InfluxDB Are Headed

Extending Flux to Support Other Databases and Data Stores

Creating and Using the Flux SQL Datasource

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