Blue Medora expands SelectStar monitoring

SelectStar first to provide enterprise-class Hadoop and Cassandra performance monitoring in a single view with an organisation’s database environments.

  • 7 years ago Posted in
Blue Medora has expanded itsSelectStar SaaS monitoring platform to support Apache Hadoop and Cassandra clusters. 
 
SelectStar helps data operations and DevOps teams cope with the rapid changes in data platforms and analytics, including the costs, complexity and availability risks created by massive data processing demands from increasingly popular business-critical applications that leverage distributed architectures like Hadoop and Cassandra.
 
SelectStar presents a comprehensive view of thousands of health, performance and availability metrics for Hadoop and Cassandra clusters and nodes, as well as historical details for in-depth troubleshooting. With SelectStar, data operations professionals pinpoint and resolve issues faster using a dashboard of an organisation’s overall data health.
 
“Database management has moved beyond typical DBMS, notably with the rise of distributed architectures for analytics. We found many teams didn’t have enterprise-class monitoring for technologies with open-source roots, like Hadoop and Cassandra,” said Mike Kelly, SelectStar general manager and CTO of Blue Medora. “By presenting a single dashboard for the entire big data deployment, SelectStar helps customers bring their data layer into this decade and increase analytics performance.”
 
Key benefits of SelectStar Apache Hadoop Monitoring include:
?       Auto-discovery of Hadoop node managers and data nodes
?      Real-time insight into metrics such as bytes written and read-per-cluster and drill-down information about blocks, applications and containers
?      At-a-glance comparison of HDFS and YARN metrics side-by-side
?      Support for AWS cloud and VMware-based infrastructure
 
Key benefits of SelectStar Apache Cassandra Monitoring include:
?      Auto-discovery of Cassandra nodes
?      Real-time insight into metrics such as reads, mutations and memoryand drill-down information on latency, activity and garbage collection on all nodes
?      Support for AWS cloud and VMware-based infrastructure
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