Resolve Spark application performance issues
Planning and managing a multi-tenant cluster is complex. It's hard to resolve performance problems with MapReduce, Hive, Spark, Impala, etc. like rogue jobs, missed SLAs, stuck jobs, and failed queries. Also, it’s becoming hard to track who is doing what, understand cluster usage and performance, and forecast capacity needs.
- Architects design the big data stack to ensure production-grade performance and reliability
- Operations teams to simplify issue troubleshooting and resource optimization
- Enables self-service for developers & engineers to manage their applications