Latest InfluxDB Cloud Release Introduces Enhanced Security, Faster Onboarding Benefits and Expanded Global Region Support

By Mark Herring / Company, Press Releases
Feb 01, 2018

FOR IMMEDIATE RELEASE Contact: Dan Spalding, InfluxData 408-960-9297 | [email protected]

Updated Managed SaaS Offering of Leading Time Series Database Continues to Add Features that Support Redundancy, Security and Compliance Needs of Growing User Base

SAN FRANCISCO - Feb. 1, 2018 - InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced the latest release of InfluxDB Cloud that adds capabilities allowing developers across the globe to take full advantage of the capabilities of InfluxData, including new security, expanded global region support and faster onboarding.

InfluxDB Cloud is a secure, fully managed database-as-a-service hosted and managed by InfluxData, offering all the features of the InfluxData platform. Its new release delivers expanded support for multiple users and organizations, providing for true separation of administrative duties for visualizing and exploring metrics and event and IoT data. The multi-user support allows for a single hosted solution to be available to larger teams while ensuring that only specific data is accessible to each authorized team member, allowing user-specific dashboards for broader cross organization usage.

“We are excited to see the new multi-user functionality available in InfluxDB Cloud,” said Johan Edgren, Founder, Jeti Services AB. “It allows us to provide our customers with better insights into their IoT solutions when using our platform, ST Solutions (http://www.stsolutions.se).”

Kapacitor is included with every subscription of the new InfluxDB Cloud release, allowing users to create up to 25 alert definitions with more capacity available based on user demand. Kapacitor is a real-time streaming data processing engine that lets developers plug in custom logic or user-defined functions to process alerts with dynamic thresholds, match metrics for patterns, compute statistical anomalies, and perform specific actions based on these alerts, such as dynamic load rebalancing. This new release provides developers with a new script editor to create more sophisticated alert definitions and allows access to the underlying log information to assist with debugging these scripts. Developers can quickly set up and route alerts using tools such as Alerta, HipChat, PagerDuty, Sensu, Slack, VictorOps, and more.

In addition, the new release of InfluxDB Cloud has added support for key regions in Asia. Support has already existed across North America and Europe. Companies can now store their mission critical metrics and events collected from their systems into different regions to provide isolation and a degree of failure independence, and run their instance closer to their other organizational data.

Also as part of this update, pre-built dashboards allow customers to co-monitor the health of their InfluxDB Cloud instance. While 24x7 monitoring by InfluxData is provided as part of the subscription, this new release provides customers with enhanced visibility into how changes in workloads impact their subscriptions such as the need to purchase additional storage or the need to increase the resources required to meet their needs.

“At InfluxData, we pride ourselves on listening to customers and being responsive to their needs, and many of these updates to InfluxDB Cloud are a result of direct customer feedback,” said Tim Hall, InfluxData VP of Products. “We have made the platform much easier to use and monitor with these new features. We continue to advance the capabilities of InfluxDB Cloud – putting more power of InfluxData into the hands of our users and streamlining their use within a cloud-based environment.”

The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly 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

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 400 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

Pricing and Availability InfluxDB Cloud is available today with subscriptions starting at $249/month. For more information, see https://www.influxdata.com/get-influxdb/

About InfluxData InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. 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’s more than 400 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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