BigPanda Emerges From Stealth To Manage Deluge Of IT Alerts And Notifications

BigPanda today launches from stealth to tackle the problem of managing the explosion of alerts and notifications that IT administrators increasingly receive, daily, from myriads of applications and devices. The Mountain View-based startup integrates alerts and notifications from disparate sources into a consolidated data feed that parses unstructured data into structured data to create an aggregated alerts and notifications data repository. BigPanda’s proprietary analytics subsequently run against the integrated data repository to enable the creation of topologies and relationships, time-based analytics and statistical analytics as indicated by the screenshot of an incident dashboard below:

Examples of statistical analytics include probabilistic determinations that the concurrent appearance of notification A, B and C is likely to lead to outcome X as suggested by historical data about the conjunction of the notifications in question. The platform’s machine-learning technology incrementally refines its analytics in relation to incoming data and thereby iteratively delivers more nuanced analyses and visualizations of notifications-related data. Overall, the platform enables customers to more effectively manage the tidal wave of data from notifications that bombard the inboxes of IT administrators by facilitating the derivation of actionable business intelligence based on the aggregation of notifications from discrete systems and applications.

As told to Cloud Computing Today by BigPanda CEO Assaf Resnick, the platform integrates with monitoring systems such as New Relic, Nagios and Splunk and additionally provides REST API functionality to connect to different applications, deployment infrastructures and ITSM tools. Moreover, BigPanda today announces the finalization of $7M in Series A funding in a round led by Mayfield with additional participation from Sequoia Capital. The $7M funding raise brings the total capital raised by BigPanda to $8.5M, following upon a $1.5M pre-Series A seed round of funding from Sequoia Capital. Deployed as a SaaS application that runs on AWS infrastructure while leveraging a MongoDB NoSQL datastore, BigPanda fills a critical niche in the IT management space by delivering one of the few applications aimed at consolidated notification management and analytics. As applications, infrastructure components and networking devices proliferate with dizzying complexity in the contemporary datacenter, platforms like BigPanda are likely to morph into necessary components of IT management as a means of taming the deluge of notifications produced by disparate systems. Meanwhile, BigPanda’s early positioning in the notification-management space renders it a thought leader as well as a technology standout.

Advertisements

Rackspace Renders Hadoop Available Via Hortonworks Data Platform On Its Public Cloud and Managed Hosting Platform

On Monday, Rackspace announced the availability of the Hortonworks Data Platform (HDP) powered by Apache Hadoop within both its managed hosting environment and public cloud infrastructure. Customers can additionally choose a hybrid approach to leveraging the Hortonworks distribution of Apache Hadoop on Rackspace’s offering by using the managed hosting offering for Hadoop hosted within a private cloud in conjunction with a Hadoop deployment on its public cloud platform. The news of the availability of HDP as part of Rackspace’s suite of offerings represents part of a broader move by the San Antonio-based company to offer databases and datastores over and beyond SQL and Oracle. Rackspace’s recent acquisition of ObjectRocket and Exceptional Cloud Services, for example, means that, in addition to Hadoop, it will be offering MongoDB as well as Redis To Go as a service in the near future as well. The integration of HDP within the Rackspace platform illustrates the phenomenon of convergence within the IT industry whereby cloud platforms are converging with Big Data platforms as both technologies become sufficiently maintstream such that customers feel comfortable experimenting with the conjunction of both cloud hosting environments and the likes of Hadoop and MongoDB. More specifically, cloud adoption appears to be accelerating Big Data adoption given that customers now have ample opportunities to experiment with cloud-based Hadoop environments without shouldering the burden of its deployment and maintenance.

Red Hat and 10gen Partner To Enhance Security and Identity Management Of MongoDB

10gen and Red Hat recently announced that the centralized identity management features of Red Hat Enterprise Linux extend to 10gen’s MongoDB platform as an auxiliary application within the RHEL platform. The integration of MongoDB with RHEL’s identity management functionality means that administrators can centrally configure MongoDB users, passwords and permissions from the same backend database used to manage the permissions of RHEL users more generally. As a result, IT administrators can now leverage single sign-on functionality across an organization for MongoDB in addition to other applications included within RHEL’s integrated identity management functionality. Red Hat added identity management to RHEL version 6.4 by means of a solution that uses the LDAP protocol. The resulting integration enhances the security of MongoDB and enables streamlined identity management for enterprises and IT administrators.