Virtualization Technology News and Information
OpsDataStore Introduces the First Platform for Data-Driven IT Operations

OpsDataStore, the company delivering the first real-time big data platform for data-driven IT operations, today announced OpsDataStore 1.2, and including key technical relationships such as Intel. The combination of metrics, objects and integrations from VMware vSphere, AppDynamics, Dynatrace, ExtraHop, and Intel enables customers to improve the performance and reliability of their business critical online systems, and optimize capacity without risking performance brownouts. The addition of the Intel DCM metrics specifically allows customers to safely reduce the OPEX costs of their server estate by allowing for better power consumption in the context of application performance and throughput. The combination of these metrics in OpsDataStore give customers the unprecedented ability to boost performance, increase capacity utilization and reduce OPEX costs in one platform.

"As the platform for data-driven IT operations, we are thrilled to work with vendor partners that are leaders in their respective markets. That's why we are entering into relationships with Intel and others with OpsDataStore 1.2," said Bernd Harzog, CEO of OpsDataStore. "As a result of our collaboration, we are giving customers the best of both worlds - a fully integrated monitoring and capacity data platform with the ability to choose their vendor or open source feeds of data. Together, our ecosystem of partners is enabling revolutionary advances in end-to-end monitoring for clouds and DevOps, IT Operations Analytics, continuous real-time capacity analytics - with the ability of our customers to consume the related data in their choice of advanced BI tools like Tableau."

Key features of OpsDataStore 1.2 include:

  • Inclusion of Intel DCM power and thermal metrics in OpsDataStore 1.2: Integrated with existing utilization, performance and throughput metrics from the other partner vendors, delivering for the first time easy calculations of OPEX cost per VM and OPEX cost per transaction.
  • Integration of ExtraHop Wire Data: OpsDataStore now allows ExtraHop customers to integrate wire data for pervasively applicable performance (response time) and throughput metrics mapped into vSphere environments. This provides a breakthrough capability for performance and capacity management for private/hybrid clouds based upon vSphere.
  • Automatic Time-of-Day and Day-of-Week baselines for every metric: Intelligent and automated root cause analysis leveraging deterministic topologies from the transactions through the infrastructure.
  • Scalable Graph Computation: Clustered and scale-out graph computation allows OpsDataStore to compute and visualize large and complex transaction-to-infrastructure topologies on the fly. Customers can now know exactly which resources are being used by every transaction.
"Intel DCM power and thermal data allows customers to realize significant OPEX savings in the operation of their data centers, and Intel resource utilization data is the foundation of the instrumentation architecture for the private/hybrid cloud," said Jeff Klaus, general manager of Data Center Solutions at Intel. "OpsDataStore combines our metrics with utilization and performance metrics, up through the rest of the stack; relating these metrics into end-to-end topologies." 

"OpsDataStore's position that no single vendor alone can tackle the challenges associated with big data and IT operations today is well aligned with ExtraHop," said John Leon, vice president of business development at ExtraHop. "By integrating wire data from ExtraHop, OpsDataStore is furthering its ability to provide customers the global insight they need to take advantage of the cloud's promise and transform IT operations in the process."

To learn more about the OpsDataStore solution, please visit:

Published Tuesday, November 01, 2016 9:17 AM by David Marshall
There are no comments for this post.
To post a comment, you must be a registered user. Registration is free and easy! Sign up now!
<November 2016>