Businesses generally want IT management solutions that offer a complete overview regardless of the underlying platforms that produce it.
Atlanta-based OpsDataStore is addressing this need by launching its new big data back end for all IT management data.
Features of OpsDataStore include open data collection architecture which can handle management data from any platform and any management software product. The solution includes connectors for the VMware vSphere data center virtualization platform, Dynatrace APM, AppDynamics and the ExtraHop wire data platform. Users can also add new connectors for other products.
Unlike simple metrics stores or log databases, OpsDataStore relates items to each other as they're ingested and maintains a continuously updated topology map of the entire environment. Any object can be queried for its end-to-end topology at any point in time. The model is continuously and automatically updated, eliminating the need for periodic discovery.
OpsDataStore is built on state of the art open source, low latency, and big data technologies, including Cassandra (time series database), Spark (stream processing engine), and Kafka (message bus). These technologies enable OpsDataStore to scale to any size environment and process large amounts of data in real time.
An open query architecture makes for easier access and reporting along with support for leading business intelligence tools so data can be easily published to those who need it.
"Service quality issues affect the revenue, reputation, and customer retention of global enterprises that rely upon online services," says Bernd Harzog, CEO of OpsDataStore. "Through our work with hundreds of enterprises over the last several years, we saw the urgent need to glue together IT management data into an easily consumable solution. By creating a central repository for all IT operations data, we enable enterprises to keep up with an unprecedented rate of innovation while delivering superior online service quality".
More information on the launch is available on the company's blog.
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