One of the great things about SaaS applications is that users in the platform automatically have access to any available software updates. Yet, having a beta program requires a separate environment, creating a potential challenge for users and development teams. In this context, having a tool where you can control features and flag certain users is important because sometimes features are too early or not relevant for all users.
One of the best things about working at InfluxData is getting to know the worldwide InfluxDB community. It’s always fun getting to meet new users through our Community Slack, social media, team members and virtual/in-person events. I recently met David Ko, a DevOps engineer at Index Exchange. Index Exchange is a global marketplace for digital media advertising; I recently chatted with David over Zoom to discuss how they use InfluxDB at Index Exchange.
Docker is a power tool for deploying applications or services, and there are numerous Docker orchestration tools available that can help to simplify the management of the deployed containers. But what if you are wanting to deploy a small number of services and not wanting to undertake setting up and managing another application stack just to run a handful of containers. I will cover how I deployed a handful of services on a single Docker host.
InfluxDB 2.0’s Checks and Notifications system is likely the most powerful and flexible system available for creating alerts based on time series data. To get the most out of the system, it is helpful to understand the different pieces and how they fit together. After reading this article, you should be able to create precise alerting using the InfluxDB 2.0 User Interface (UI), as well as be able to extend and customize the system to suit your specific needs.
In March, we released Telegraf 1.18, which included a wide range of new input and output plugins. One exciting new addition was an XML Parser Plugin that added support for another input data format to parse into InfluxDB metrics.
SAN FRANCISCO — April 14, 2021 — InfluxData, creator of the leading time series database InfluxDB, today announced the general availability of InfluxDB Notebooks, a new capability that improves communication for software development teams, ultimately enhancing productivity within InfluxDB Cloud. InfluxDB Notebooks is the first of the company’s new capabilities designed to make it easier for developers to collaborate around time series data within the platform.
With InfluxDB you can create notifications to make the most out of your alerts. Notifications enable you to send check statuses to the endpoint of your choice. In this TL;DR we set up a Slack Notification Rule and Endpoint through the InfluxDB UI.
Over the past few years, the IoT community has embraced InfluxDB as a cornerstone of the solutions they build. Whether modernizing or greenfield, InfluxDB has helped many in working with vast quantities of sensor and device data as we continue to deliver on our promise of time to awesome for IoT.
Are you looking to get started with InfluxDB on Google Cloud? We’ve pulled together our top resources to help you get the most out of your time series data whether that’s coming from your Google Cloud infrastructure or your own application. Read how customers like Wayfair and Vera C. Rubin Observatory use InfluxDB on Google Cloud to solve their time series data collection and processing challenges to power their multifaceted, complex real-world use cases.
Last week we released Telegraf 1.18 with a range of new plugins including Elastic Beats, directory monitoring, NFS, XML parsing and some aggregators and processors to help with your data ingestion. All of these packages were written in Go 1.16.2. This was one of our largest releases in a while and couldn’t have been done without the 70+ Telegraf community members who contributed to writing plugins, fixing bugs, reviewing code, and everything else to improve Telegraf!
