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.
This is a beginner’s tutorial for how to write static data in batches to InfluxDB 2.0 using these three methods. Before beginning, make sure you’ve either installed InfluxDB OSS or have registered for a free InfluxDB Cloud account. Registering for an InfluxDB Cloud account is the fastest way to get started using InfluxDB.
This is Part Two of Getting Started Tutorials for InfluxDB v2. If you’re new to InfluxDB v2, I recommend first learning about different methods for writing static data in batches to InfluxDB v2 in Part One of this Getting Started series. This is a beginner’s tutorial for how and when to write real-time data to InfluxDB v2. The repo for this tutorial is here. For this tutorial, I used Alpha Vantage’s free “Digital & Crypto Currencies Realtime” API to get the data.
In this post, we learn how to use tasks in combination with checks for monitoring with InfluxDB.
The five-day period from Thanksgiving to Cyber Monday is known as the Cyber Five Weekend (also known as Cyber 5). Forbes estimates that people spent $3.7 billion on Thanksgiving Day in 2018. They approximate that over 165 million people shopped over the entire weekend. This is a 16.5% increase year over year. On Black Friday, people spent $6.2 billion online, with a 23.6% year-over-year growth.
Our Telegraf Starlark Processor Plugin is an exciting new processor in Telegraf 1.15 that gives you the flexibility of performing various operations in Telegraf using the Starlark language. What is Starlark, you ask? Starlark (formerly known as Skylark) is a language intended for use as a configuration language. Starlark is a dialect of Python. Like Python, it is a dynamically typed language with high-level data types, first-class functions with lexical scope, and garbage collection.
Last week we released Telegraf 1.15 with new plugins for network monitoring and a large number of processors to help with your data ingestion. All packages were written in Go 1.14.5. This all couldn’t have been done without the 50+ community members who contributed to writing plugins, fixing bugs, reviewing code, and everything else to help make Telegraf better! Here’s a quick look into new plugins and features we launched in Telegraf 1.15.
I recently spoke with Alex Skrivseth, the Operations Manager at The Shed App, and discovered how he’s using InfluxDB to monitor the current levels of gas and diesel at various gas stations. Simply by extracting IoT sensor data, he has been able to provide valuable previously inaccessible data to fuel truck drivers.
According to Forbes, 2.5 quintillion bytes of data are created every day. Data volumes have grown exponentially in recent years due to the growth of the Internet of Things (IoT) and sensors. The majority of data collected has been collected in the last two years alone. For example, the U.S. generates over 2.5 million gigabytes of Internet data every minute, and over half of the world’s online traffic comes from mobile devices.
Today, InfluxDB Cloud is generally available on Microsoft Azure. Now you have the freedom to run the leading time series database on whichever you prefer: Microsoft Azure, Google Cloud or AWS.
