InfluxDB Week in Review - November 23, 2015
Jimmy Guerrero /
Nov 23, 2015
In this post we’ll recap the most interesting InfluxDB related content you may have missed in the last week or so.
Blogs, Videos, Articles, Docs and How-Tos
- InfluxDB 0.9.5 (Stable) is Ready for Download
- Announcing Telegraf 0.2.1 w/ UDP Support and More
- Deploying InfluxDB with Ansible
- Announcing Chronograf 0.3 - Data Visualizations for InfluxDB
- Video: Intro to InfluxDB with Michael DeSa
- Video: Update on InfluxDB 0.9.5 and the TSM1 Storage Engine with Paul Dix
- Video: Chronograf v0.3 - Native Data Visualization for InfluxDB with Will Faurot
- Announcing the Gopher InfluxDB Slack Channel
Cloudify is a Cloud Application Orchestrator. It automates any process you need to perform with regard to your applications over any cloud. We use InfluxDB as the default metric storage engine in our product. What did Gigaspaces find compelling about InfluxDB? They needed a dedicated metrics DB that could be easily integrated into their product that allowed the storing and retrieving of metrics easily. Another factor that influenced their decision was the high amount of development activity around InfluxDB compared to other time series databases.
E4e5 is an IT consulting company working on projects in the online ads and real-time bidding marketplaces space. They use InfluxDB to store all their system, performance and business metrics. Based on the metrics they gather, InfluxDB allows them to perform analytics and fast predictions. What did they find compelling about InfluxDB?
- Extremely simple to use
- Continuous queries for metrics aggregation
Spreedly is a service that minimizes the complexity, cost, and risk of PCI compliance and payment integrations. It does so by providing a universal credit card vault and integrations into hundreds of gateways and third party payment processors. They use InfluxDB to track service usage and provide customers with views into their account billing and quota levels. What did they find compelling about InfluxDB? Continuous queries allow them to store metrics in a single, high-level, series, but still gain the efficiency of querying against more granular series. It’s the best of both worlds!
- Nov 30: Women Who Go Meetup - San Francisco, CA
- Dec 16: San Francisco InfluxDB Meetup
- Jan 20: San Francisco InfluxDB Meetup
- Feb 17: San Francisco InfluxDB Meetup
Get your InfluxDB hoodie while they last!
Does your company have a cool app or product that uses InfluxDB in production? We'd love to feature it on influxdb.com and give you a shout out on social media. As a "thank you" gift, we'll send you an InfluxDB hoodie and a pack of stickers. Just fill out this simple form and we'll let you know when your entry is live and the hoodie is in the mail. Drop us a line at email@example.com if you have any questions. Thanks for the support!