When learning a new technology stack or language, access to good documentation, tutorials, and support is critical to lower the barrier to adoption and enable users to take advantage of the tools themselves. At InfluxData, we support our users by providing the following resources. Searching through all of these resources and more, like GitHub issues, can be time-consuming and difficult. In response, the support team at InfluxData has recently created InfluxData Support.

InfluxDB Cloud offers a transparent usage-based pricing model that only charges users on the work performed, with no minimums or long-term commitments. This puts YOU in charge of what you spend. However, with four separate pricing vectors, it’s not always easy to see exactly where that cost is going, or how to estimate your potential spend based on your data usage.

So you’re using InfluxDB Cloud and you’re taking full advantage of Flux to create custom data processing tasks, checks, and notifications. However, you notice that some of your Flux scripts aren’t executing as quickly as you expect. In this post, we’ll learn about best practices and tools for optimizing Flux performance.

Last year I started an IoT project, Plant Buddy. This project entailed soldering some sensors to an Arduino, and teaching that device how to communicate directly with InfluxDB Cloud so that I could monitor those plants. Now I am taking that concept a step further and writing the app for plantbuddy.com. This app will allow users to visualize and create alerts from their uploaded Plant Buddy device data in a custom user experience.