Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB clustering is available as part of InfluxData’s commercial product offered in both managed and self-managed capacities.

This tutorial will walk you through sending StatsD metrics to Telegraf. StatsD is a simple protocol for sending application metrics via UDP. These metrics can be sent to a Telegraf instance, where they are aggregated and periodically flushed to InfluxDB or other output sinks that you have configured. At the time of writing, we have 37 different output plugins supported.

Machine learning — the practice of writing algorithms that improve automatically through experience — has become a buzzword nowadays that connotes to something otherworldly and on the bleeding edge of technology. I’m here to tell you while that may be true, getting started with machine learning doesn’t have to be hard!

I recently spoke with Jeremy White who is using InfluxDB to monitor his aquariums. By collecting IoT sensor data, he has been able to better understand his 200 gallon salt-water aquarium full of fish and coral. The entire project can be found on GitHub. Caitlin: Tell us about yourself and your career. Jeremy: I’m a Senior Network Automation Consultant at Network to Code, and my background is in networking engineering. Network to Code is an industry leader in network automation.

Team-building remains an important priority despite the shift to remote work, but doing remote team-building well is even trickier than it was when everyone was in the office. This article sheds light on the creative approaches we take to remote team-building and my advice for other businesses that are struggling to adapt their cultural initiatives to a remote setting.

We recently changed the pricing of InfluxDB Cloud to let you control your cloud database spend so you spend only as much as you need to run your software and systems — with no wasted budget. If you just want a summary, check the InfluxDB Cloud pricing page. But if you’d like to nerd out on the changes we made, why we made them, and how to estimate your monthly spend on InfluxDB, then buckle up for a deep dive.

Figuring out the best data layout for InfluxDB v2 is important in optimizing the resources used by InfluxDB, as well as improving ingestion rates and the performance of queries and tasks. You also want to consider developer and user experience (UX). This post will walk you through developing a schema for an IoT application example and answer the following questions.

InfluxDB provides several graph type visualizations to allow users to easily monitor their data. However, most of those graph types are only helpful if your data can be represented numerically. What if you want to track the health of your application, or visualize the status of your pods deployed in Kubernetes, over time? In both these cases, status is tracked over time using one of several discrete values, and can’t be plotted on an x/y chart.

In this post, we’ll review some common InfluxDB Cloud 2.0 errors for beginners. We’ll discuss probable causes as well as recommended fixes. This blog uses the Telegraf System Configuration and data as an example to illustrate the various errors you may encounter. Having some familiarity with this dataset is useful in understanding the issue and the resolution.

Performance has been a top user concern and an area of investment for InfluxDB Cloud since launching a year ago. The theme of our recent performance push is aggregations; we took a vertical slice from backend platform to front-end user interface to improve aggregations across the full stack.