July 2016 Summaries

InfluxDB is a time-series database that allows developers to automatically downsample data from one measurement and save those downsampled data in another measurement using continuous queries or raw INTO queries. However, the syntax for continuous queries can be tricky, and including a `WHERE` clause with a time range won't work as expected. Instead, developers should use basic raw INTO queries that accept a time range in the `WHERE` clause to achieve this functionality. Additionally, InfluxDB's Line Protocol only accepts epoch timestamps, but developers can specify an alternative timestamp precision using query string parameters.

Announcing InfluxDB 1.0 Beta 3, Cluster Rebalancing, Data Explorer Plus Backup & Restore`, the latest version of InfluxDB is now available in beta, featuring cluster rebalancing, data explorer plus backup and restore, among other improvements. InfluxDB has been adopted by several companies, including Nordstrom, which uses it to support operational metrics needs due to its speed, reduced space usage, and rich retention policy support. Additionally, Something Digital built a module that integrates Magento with InfluxDB for storing key measurements about an e-commerce platform's operation. FireFlies.ai also leveraged InfluxDB to quickly prototype and reliably store production data in a time-series database. InfluxDB Enterprise Beta is now available, offering clustering, monitoring, and data exploration capabilities on-premises infrastructure. The company is seeking submissions from organizations using InfluxDB in production for a feature on their website, with a "thank you" gift of an InfluxDB hoodie and stickers. Various webinars, training sessions, and meetups are also being organized to promote the platform and its capabilities.

InfluxDB Tech Tips - Using Single Quotes vs Double Quotes Within InfluxQL highlights the nuances of using single quotes and double quotes in InfluxQL queries, which is a query language used for querying data stored in InfluxDB. The post addresses common questions related to specifying time formats, calculating multiple functions in a single query, and selecting data where a tag has no value. It also provides examples and tips on how to use these features effectively, with recommendations for further reading and resources. Additionally, the post mentions upcoming updates and events related to InfluxDB, including a new clustering feature and training seminars.

InfluxDB Enterprise has released its third beta, featuring cluster rebalancing, which allows for zero downtime data rebalancing when adding or deleting nodes to a cluster. The software also includes new features such as table-based data exploration and improved backup and restore functionality. Additionally, the TICK-stack, including InfluxDB, Telegraf, and Kapacitor, has been updated with new features and bug fixes. The upcoming 1.0 release of InfluxDB is expected to include many significant changes, including configuration file updates and numerous bug fixes.

InfluxDB has released its Enterprise Beta, which offers clustering, monitoring, and data exploration capabilities on users' infrastructure. This new version allows for rebalancing nodes and a user-friendly interface for deployment, management, and monitoring. InfluxDB is also seeking to feature companies using the database in production, offering a hoodie and stickers as a thank you gift. Various webinars and training sessions are available, including two-day and one-day hands-on courses, as well as support for Go, Big Data, DevOps, and IoT meetups.

In this post, the authors address several questions and issues related to InfluxDB and TICK-stack, including empty results from time buckets, performance implications of ordering time ranges in queries, and specifying query timestamp precisions with the HTTP API. The answers provide insights into how InfluxDB handles these scenarios, highlighting both expected behaviors and potential workarounds or future enhancements.

InfluxDB has made significant progress in the past week, with several announcements and releases. InfluxDB Enterprise Beta is now available, offering clustering, monitoring, and data exploration capabilities. This version allows users to deploy, manage, and monitor their clusters on-premises or in the cloud. Several companies, including NTT Communications ICT Australia, HealthQ, and Essential Technologies' Sensors Connect platform, have adopted InfluxDB for various use cases such as collecting metric data, monitoring application queue depths, and storing persistent air quality index data. Additionally, InfluxDB is being used by startups like HealthQ and SensorsConnect.com to develop products in the digital health and wellness space. The company also offers a free virtual training playback archive and two-day hands-on training sessions in San Francisco.

In this article, we recap the most interesting influxQL query examples from GitHub, IRC and the InfluxDB Google Group, covering topics such as understanding unexpected fill() behavior, querying for the latest point in a measurement using the LAST() function, and more. The article also highlights available resources, including videos, FAQs, and free virtual training seminars. Additionally, it announces upcoming features like InfluxDB clustering on infrastructure, 1.0 Beta 2, and free consultations with solutions architects.