Time series databases like InfluxDB are databases that specialize in handling time series data, which is data that is indexed by time. Unlike traditional databases, time series databases are optimized for reading and writing data with less performance consideration for updating or deleting data. Due to the time-dependent nature of time series data, time series databases are handy for application monitoring.
Hulu, the entertainment streaming platform, needed a solution to scale up its internal application and infrastructure monitoring platform as it grew beyond 1 million metrics per second. The solution it created combines two open source tools— InfluxDB, a time series database, and Kafka, an event-streaming platform. It’s not just global enterprises like Hulu that have access to world-class tools and infrastructure to achieve their business goals.
A common debate in software development focuses on whether to use already-available tools or services, which offer better developer productivity, or stick with lower-level tools or custom-built solutions, which offer more control and potentially better performance and flexibility. This can be boiled down to the decision of whether to build or buy. These two approaches are at the root of many current tech industry ideological conflicts.
Telegraf has now reached 300+ plugins and is deployed in a wide variety of use cases. In January we released a blog post covering the golden rules for creating configs and optimizing your Telegraf agent. It’s now about time we got our hands dirty covering some of the plugins the community uses the most. In this post, we are going to cover the SNMP Input Plugin.
Telegraf, InfluxData’s open source data collection agent, is a key tool for managing data pipelines. Users around the world rely on Telegraf’s flexibility to collect, clean, transform, and send data. But even with Telegraf’s immense popularity, we continue to look for ways to make it even easier to use. That’s why, when we launched InfluxDB University, we knew that Telegraf would be a key ingredient.
Herrenknecht AG is a technology leader in mechanized tunneling systems. Engineers at Herrenknecht set out to build an industrial internet of things (IIoT) platform that provided insight into live and historic data for all their tunnel boring machines (TBMs). These machines have thousands of sensors generating high velocity data, sometimes in remote areas with limited connectivity.
We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product in sync with developer needs to ensure their happiness and accelerate time to awesome. This is the first in a blog series covering our product’s latest features — features that we think will save you time and effort when building with time series and InfluxDB.
This article was originally published in The New Stack. Given how volatile Bitcoin price is, an automated alerting system can be valuable for preserving our attention and sanity. We can pay attention to Bitcoin only when the price action is interesting. Momentum, that is buying an asset that has done well in the past, has been one of the most persistently effective trading strategies — see Clif Asness: “Value and Momentum Everywhere” and Tzouvanas (2019).
The Particle platform enables companies to manage and program their IoT devices, bringing them to market quicker. To accomplish this, Particle developers needed to be able to collect telemetry data from a large number of edge IoT devices to measure performance. A key benefit of the Particle platform is its ability to scale from prototype to enterprise. Developers often prototype IoT devices using microcontrollers like Arduino or Raspberry Pi.
Prescient Devices focuses on changing the way businesses think about and use edge data and industrial IoT. The company built Prescient Designer, an edge data solutions platform that gives organizations the boost they need to transform their IT/OT processes. Prescient’s products empower data engineers, system integrators, and innovators to easily design and orchestrate edge-to-cloud data solutions.
