SAN FRANCISCO — January 14, 2021 — InfluxData, creator of the time series database InfluxDB, today announced significant growth in 2020 across its cloud business, open source user base, and major new customers. Demand for the time series platform continued to climb across industry sectors, especially for IoT and data streaming use cases.

Measuring your machine learning model will help you understand how well your model is doing, how useful it is, and whether your model can perform better with more data. This is what Algorithmia Insights — a feature of Algorithmia Enterprise MLOps platform — does. Algorithmia platform accelerates your time to value for ML by delivering more models quickly and securely, as it is estimated that 85% of machine learning models never make it to production.

“We all get our credit cards replaced a lot. Our online ecosystem is getting more complex with the number of accounts we have. We wanted to simplify that, and make it less complicated to get those cards back on file,” says Katherine Chavez, Director of Marketing for Strivve (formerly Switch, Inc.). Strivve is a startup that aims to take the pain out of updating credit and debit cards by automating the updating process.

In this tutorial, we will discuss InfluxDB and its Python client. We will deploy InfluxDB inside a Kubernetes cluster and then use the InfluxDB Python client to send data to InfluxDB.

As business-critical applications increasingly rely on network services, even a minor change in network usage can impact network performance and reliability, thereby also impacting business functions and network maintenance costs. sFlow (short for “sampled flow”) — by providing unprecedented visibility into network usage and active routes of high-speed and complex networks — delivers the data needed to effectively control and manage network usage.

Monitoring Telegraf — the open source, plugin-driven server agent for collecting metrics from stacks, sensors and systems — is important because it allows you to track the health of Telegraf plugins in your stack. It’s for this purpose that the Telegraf Monitoring Template was developed. Before introducing the template, it’s helpful to recall how Telegraf works.

Monitoring COVID-19 metrics has become essential as the Coronavirus pandemic continues to impact countries across the globe. Mitigating virus impact and spread requires ongoing tracking of metrics such as cases and fatalities. This is what the InfluxDB COVID-19 Monitoring Template does.

Last month we announced InfluxDB IOx (pronounced: eye-ox), a new Rust and Apache Arrow based core for InfluxDB. While InfluxDB IOx is a columnar database built on top of object storage, that’s only part of its role. In addition to query functionality, one of the big goals of InfluxDB IOx is to help manage the data lifecycle for time series data. This post will cover the design for how InfluxDB IOx plans to manage that data lifecycle.

Now that you’ve read through Top 5 Hurdles for Flux Beginners and Resources for Learning to Use Flux, you’re well on your way to being an advanced Flux user. This post includes some of the top hurdles for intermediate Flux users as well as solutions.

Are you new to InfluxDB v2.0 and Flux? Are you intimidated by learning a new time series scripting and query language? Perhaps you’re an InfluxDB v1.x user and you’re familiar with InfluxQL, and you’re unconvinced that learning Flux is worth your while? This two-part blog series aims to demonstrate the power of Flux and walk you through solutions to the top hurdles for both new and old InfluxDB users.