Fluentd is an open source data collector capable of retrieving and receiving event data from several sources and then filtering, buffering, and routing data to different compatible destinations. It utilizes a plug-in system to help you quickly set up specific inputs, apply any required filtering, and send data to your preferred data ingestion platform. Fluentd supports multiple sources and destinations, and it can be deployed to multiple operating systems, including Windows, Linux, and macOS.
Time series databases can help telecommunications companies become more reliable, efficient and productive. The telecommunications industry is undergoing rapid change as a handful of new technologies and government actions change the underlying business landscape and create space for new companies to innovate and disrupt the established players.
Time series data (also known as time-stamped data) refers to a collection of observations (data points) measured over time. When plotted on a graph, one of the axes for this type of data will always be time. Because time is part of every observable entity, time series data can be used in all kinds of industries, like the stock market, weather data, logs, and traces.
Is Telegraf too big for your device? Too many plugins in one binary getting you down? Let me introduce you to the Telegraf custom builder – the new tool for reducing Telegraf’s overall memory and disk footprint. In this blog, we will discuss the “what, why, when” and also how to use the new custom builder.
According to the old adage, life’s a journey not a destination. The same can be said for software. It’s unlikely that any developer would ever say that something they built was truly done. There are always bugs to squash, features to add, and updates to implement. As a company intensely focused on time and the context of time, it comes as little surprise that these themes played a significant role in Paul Dix’s presentation for InfluxDays.