OpsClarity's intelligent monitoring solution now provides monitoring for a growing and popular suite of open source data processing frameworks, including Apache Kafka, Apache Storm, Apache Spark as well as datastores such as Elasticsearch, Cassandra, MongoDB. The solution is intended to enable DevOps teams to gain visibility into how these technologies are dependent on each other and troubleshoot performance issues.
“Open source data processing frameworks have rapidly matured and gained enterprise adoption to provide immediate business value, whether it be to identify customer preferences on the fly, detect online fraud or IoT-enable the next electronic device in our homes,” said Amit Sasturkar, co-founder and CTO of OpsClarity. “OpsClarity has deep domain understanding of these distributed and complex data processing frameworks and how they work together and has built an intelligent assistant that visualizes the entire environment, detects and correlates failures, and provides guided troubleshooting.”
Most data processing frameworks are themselves a complex collection of several distributed and dynamic components such as producers/consumers and masters/slaves. Monitoring and managing these data processing frameworks and how they are dependent on each other is a non-trivial undertaking and usually requires an extremely experienced operations expert to manually identify the individual metrics, chart and plot them, and then correlate events across them.
OpsClarity leverages an advanced data-science and real-time streaming analytics-based approach to ingest huge amount of metrics and events data from a disparate set of the open source frameworks and intelligently correlate metrics and events across them. OpsClarity synthesizes the various metrics, alerts and signals into an intuitive visual service topology along with overlaid health status. This simplifies the effort required by DevOps to set up and troubleshoot these modern data frameworks.
To learn more about OpsClarity and its Intelligent Monitoring solution, please click here.