February 2019 Summaries

A new maintenance release of Telegraf 1.9.5 is available, bringing compatibility with Amazon Linux 2 and improvements to several plugins, including fixes for issues with InfluxDB output and UDP payload splitting, as well as enhancements to the SQL Server input plugin to handle deadlock priority and disabled results in AzureDB queries, among other changes.

InfluxDB 2.0 Alpha 4 has been released, offering enhancements such as custom time range selection for building queries and dashboards, manual task execution from the UI, and improved histogram graphing capabilities. The release also includes updates to the Flux library and new features like creating labels from an overlay. This alpha build is meant for feedback on functionality, user experience, and APIs, rather than performance or production usage.

Anais Dotis-Georgiou explains that classical machine learning methods such as Error, Trend, Seasonality Forecast (ETS), Autoregressive Integrated Moving Average (ARIMA) and Holt-Winters are powerful time-series predictors that outperform many other ML methods including Long Short Term Memory (LSTM) and Recurrent Neural Networks (RNN) in One-Step Forecasts. The author focuses on Holt-Winters for three reasons: it's a sibling of ETS, can be used out of the box with InfluxDB, and the InfluxData community has requested an explanation of Holt-Winters. The article is divided into three parts, covering when to use Holt-Winters, how Single Exponential Smoothing works, and how to optimize its parameters using optimization techniques such as minimizing the Residual Sum of Squared Errors (RSS).

InfluxDB, a time series database, has released its third alpha version, 2.0.0 Alpha 3, which includes enhancements such as histogram graph type visualization, dynamic bin setting and grouping, and UI improvements for better user experience. The release also updates the Flux library to version 0.19.0. This alpha build is not suitable for production usage but provides a platform for users to provide feedback on functionality and APIs before the final release.

This maintenance release for Chronograf version 1.7.8 addresses several key issues, including improvements to Flux autoInterval calculations and query escaping to prevent SQL injection attacks. Additionally, fixes have been made to the decimal place calculation range and Kapacitor configuration page issues, while an updated Flux function example has also been provided for users. A new release is now available for download for community members.

InfluxDB has released a critical maintenance update for its OSS (Open Source Software) and Enterprise versions, addressing a defect that could cause data loss in shards larger than 16GB. The update fixes several issues, including removing a caching mechanism that could lead to data corruption and improving the performance of time-series databases. Users are encouraged to upgrade as soon as possible, but can temporarily prevent full compaction from running by modifying their configuration. Downgrading is also an option, although it may require rebuilding the index if using Time Series Intelligence (TSI). The update includes fixes for issues with caching bitmaps in TSI and converting TagValueSeriesIDCache to use string fields.

InfluxData has raised $60 million in its Series D round led by Norwest Venture Partners and joined by other investors, bringing the company's total capital raised to $119.9 million. The funding will be used to support further investment in product innovation. InfluxData is a developer of time-series database software.

InfluxData, a time-series database startup, has raised $60 million in funding led by Norwest Venture Partners, doubling its total capital to $120 million. This significant investment represents a vote of confidence in the company amidst rising competition in the database market. InfluxData plans to use the new funding to expand into the cloud market and strengthen its sales and marketing efforts to target niche industries.

InfluxData, the creator of the leading time series database InfluxDB, has raised $60 million in Series D funding led by Norwest Venture Partners and joined by Sorenson Capital and existing investors. The company is experiencing strong growth and market potential, driven by the increasing need for analysis of time series data in various industries such as IoT, DevOps, and analytics. With the new funding, InfluxData plans to invest in product innovation, expand its sales and marketing programs, and target specific industries like e-commerce, gaming, and financial services. The company's CEO Evan Kaplan believes that the influx of funds will enhance their ability to deliver versatile solutions to companies looking to harvest insights from time series data.

Critical maintenance releases for InfluxDB OSS and InfluxDB Enterprise are available now, addressing a critical defect that affects shards larger than 16GB, which can lead to data loss during compaction. The new release includes several fixes, including improvements to caching and configuration options. Customers who cannot upgrade immediately can use temporary workarounds to prevent full compaction from running. Downgrading is also an option, but it may result in additional work.

A new release of InfluxDB 2.0 Alpha is available, featuring enhancements such as improved Telegraf configuration creation, the addition of the swap plugin to the System bundle, standardized user interface styles, and updates to the Flux library.

InfluxDB Enterprise and Kapacitor will integrate with VMware Pulse IoT Center to manage time series data workloads at connected IoT edge devices, sensors, and infrastructure running at the edge, optimizing the handling of large quantities of sensor data in real-time. The integration creates a solution that enhances companies' ability to handle massive amounts of data associated with industrial and enterprise IoT workloads, delivering insight and competitive advantage. InfluxData's open source platform is designed for analyzing metrics and events (time series data) for DevOps and IoT applications, empowering developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale.

Telegraf 1.9.4 has been released with several improvements, including updates to the Agent plugin that builds packages with Go 1.11.5 and fixes for issues with CSV Parser, Jenkins Input, and Syslog Input plugins. These maintenance releases aim to resolve known problems and provide a more stable experience for users.

The author of this text implements a pivot function in Flux to reshape their train data from a single column into multiple columns, making it easier to read and directly use without having to write additional application code. The pivot function allows the user to designate how data should be organized and displayed, creating new rows for each unique value identified in the input and adding value columns to the row for each unique value. By adjusting the rowKey and columnKey parameters, the author is able to customize the pivot function to meet their specific needs, including retaining measurement and tags as row keys while grouping by driver and separating fields into individual columns. The pivot function provides a flexible way to manipulate data in Flux, allowing users to create more readable and usable data sets without modifying underlying data structures.

The Forbes article "Top 25 IoT Startups To Watch In 2019" identifies the top 25 IoT startups to watch in 2019 based on McKinsey Global Institute's analysis of their ability to attract new customers, revenue growth, patents' value and potential, and market position. These companies excel at orchestrating analytics, Artificial Intelligence (AI), and real-time monitoring to deliver exceptional customer experiences. Notable mentions include InfluxData, which provides an open source time series platform for analyzing metrics and events in DevOps and IoT applications.