Time series analysis is the study of a sequence of data points and records that are collected over a constant period. The analysis indicates how a variable or a group of variables has changed and helps in discovering underlying trends and patterns. Time series data is generally used for forecasting problems by predicting the likelihood of future data based on historical information.
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 to meet developers where they are, to ensure their happiness, and accelerate Time to Awesome. This week, we are covering a product release that we think will save you time and effort when onboarding to time series and InfluxDB using Arduino.
We are proud to announce that Anodot has been named Momentum Leader on G2’s fall grid for Cloud Cost Management Software. G2 is the largest and most trusted software marketplace. More than 60 million people annually use G2 to make smarter software decisions based on authentic peer reviews. G2 is disrupting the traditional analyst model and building trust by showcasing the authentic voice of millions of software buyers.
Observability is a hot topic in the IT world these days. It is oftentimes discussed through the lens of the “three pillars of observability”: Logs, Metrics and Traces. Indeed these telemetry signal types help us understand what happened, where it happened and why it happened in our system.
EDR enables developers to use the full capabilities of InfluxDB at the edge. Developers also can use that same data in the cloud for different purposes. Flux is the data scripting and query language for the InfluxDB time series database platform, enabling useful features such as Edge Data Replication (EDR).
Smooth payment operations are critical for every merchant’s success. At its most basic level, a seamless and reliable payment process is the key to assuring transaction completion, which is at the very core of a merchant’s financial strength. However, when payment data systems fail to deliver insights about issues regarding approvals, checkouts, fees or fraud, the result is revenue loss and sometimes customer churn.
IBM engineer Nigel Griffiths built nmon in the 1990s to monitor operating system performance data for AIX. Since its original launch, Griffiths revisited and revamped nmon. For example, he built an open-source version for Linux. Despite drastic change in the very nature of computing and exponential growth in storage, memory, and compute power, it wasn’t until 2018 that Griffiths sought to completely re-write the tool and bring it into alignment with modern computer systems.
If you’re an InfluxDB and InfluxDB UI user, you’ve almost certainly created dashboards. However, if you’re building dozens of dashboards in the InfluxDB UI, you might have come across the need to deep link related dashboards. In this tutorial we’ll learn how we can use the table view with Flux, string interpolation, and variables to deep link users to other dashboards.
