28March2017

Set Your Monitoring Data Free

We very recently had a great conversation with a very large global enterprise. That company told us that their two strategic initiatives for monitoring in 2017 were:

  1. To set their monitoring data free from the tools that produce this data
  2. To make the resulting “freed up” data consumable to people in whatever tools that they wanted to consume the data in

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5February2017

Cisco Acquires AppDynamics – Implications

On January 24, 2017 Cisco announced its intent to acquire AppDynamics a leading vendor in the Application Performance Management market. The price was announced as approximately $3.7B in cash and assumed equity awards. This acquisition is likely to shake up the management software business at all layers of the stack.  Read more

20November2016

Visibility into VMware for AppDynamics and Dynatrace Monitored Applications

We attended AppDynamics AppSphere last week, and it was a great event. All of the attendees were very energized by what they were doing and are going to be doing with AppDynamics – who have clearly cemented themselves in a leadership position in the APM industry. Read more

1November2016

OpsDataStore Introduces the First Platform for Data-Driven IT Operations

ATLANTA, Nov. 1, 2016 /PRNewswire/ — OpsDataStore, the company delivering the first real-time big data platform for data-driven IT operations, today announced OpsDataStore 1.2, and key technical relationships with Intel and ExtraHop. 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 ExtraHop 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 the 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.

Supporting Quotes

“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: www.opsdatastore.com.

About OpsDataStore

OpsDataStore provides enterprises the complete and real-time big data platform for data-driven IT operations, with operational transparency across the IT stack by providing a common data plane for all management data and vendors. OpsDataStore and its ecosystem of partners replace outdated frameworks with a modern best-of-breed solution to improve service quality, increase business agility and drive revenue. Founded in 2015, OpsDataStore is headquartered in Atlanta, Georgia.

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6October2016

Data Driven IT Operations

Engage in a conversation with any IT executive on the topic of big data and you will likely hear how the IT team has helped their company put in place a “Data Lake” that houses large amounts of business data and that is the basis for data driven business decisions. We know that data driven decisions underlie how airlines price seats, how hotels price rooms, and what merchandise online retailers offer each visitor based upon the available information about each visitor. Read more