InfluxData's Time Series Platform Now Available on IBM Cloud
By Mark Herring / Oct 03, 2017 / Newsroom, Press Releases
SAN FRANCISCO – Oct. 3, 2017 – InfluxData, the modern Open Source Platform built from the ground up for metrics and events, today announced that InfluxDB Cloud, its Time Series Platform, is now available on the IBM Cloud, enabling companies to easily integrate high-performance cloud infrastructure and cutting-edge development services, such as monitoring and real-time alerting, into their IT environments.
“Modern IT architecture has to evolve to deal with the proliferation of metrics and events and other time series data generated by sensors, microservices, and containers,” said Brian Mullen, VP of Business Development, InfluxData. “IBM Cloud customers can now leverage the InfluxData platform in their solutions, providing real value in real-time.”
Now IBM Cloud platform customers can use InfluxData to build:
- Monitoring, alerting and notification applications supporting their DevOps initiatives
- IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
- Real-time analytics applications that are focused on streaming data and anomaly detection
Getting Started with InfluxDB Cloud
Developers can get started with InfluxDB Cloud directly from the IBM Cloud console, easing implementation of monitoring on any application or services created within the console. For more information, see https://console.bluemix.net/catalog/services/influxcloud.
InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for metrics and events (time series data). Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale, delivering real business value quickly. Based in San Francisco, InfluxData customers include Autodesk, Cisco, eBay, and Coupa. Visit https://w2.influxdata.com/. Twitter: @influxdb.
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