Unravel Data introduced a performance management solution for the Google Cloud Dataproc platform that makes data workloads running on the top of the platform simpler to use and cheaper to run.
Unravel for Cloud Dataproc, which is available immediately, can improve the productivity of data teams with a simple and intelligent self-service performance management capability, helping DataOps teams:
- Optimize data pipeline performance and ensure application SLAs are adhered to
- Monitor and automatically fix slow, inefficient and failing Spark, Hive, HBase and Kafka workloads
- Maximize cost savings by containing resource-hogging users or applications
- Get a detailed chargeback view to understand which users or departments are utilizing the system resources
For enterprises powered by modern data applications that rely on distributed data systems, the Unravel platform accelerates new cloud workload adoption by operationalizing a reliable data infrastructure, and it ensures enforceable SLAs and lower compute and I/O costs, while drastically lowering storage costs. Furthermore, it reduces operational overhead through rapid mean time to identification (MTTI) and mean time to resolution (MTTR), enabled by unified observability and AIOps capabilities.
“Unravel simplifies the management of data apps wherever they reside - on-premises, in a public cloud, or in a hybrid mix of the two. Extending our platform to Google Cloud Dataproc marks another milestone on our roadmap to radically simplify data operations and accelerate cloud adoption,” said Kunal Agarwal, CEO, Unravel Data. “As enterprises plan and execute their migrations to the cloud, Unravel enables operations and app development teams to improve the performance and reduce the risks commonly associated with these migrations.”
In addition to DataOps optimization, Unravel provides a cloud migration assessment offering to help organizations move data workloads to Google Cloud faster and with lower cost. Unravel has built a goal-driven and adaptive solution that uniquely provides comprehensive details of the source environment and applications running on it, identifies workloads suitable for the cloud and determines the optimal cloud topology based on business strategy, and then computes the anticipated hourly costs. The assessment also provides actionable recommendations to improve application performance and enables cloud capacity planning and chargeback reporting, as well as other critical insights.
“We’re seeing an increased adoption of GCP services for cloud-native workloads as well as on-premises workloads that are targets for cloud migration. Unravel’s full-stack DataOps platform can simplify and speed up the migration of data-centric workloads to GCP giving customers peace of mind by minimizing downtime and lowering risk,” said Mike Leone, Senior Analyst, Enterprise Strategy Group. “Unravel adds operational and business value by delivering actionable recommendations for Dataproc customers. Additionally, the platform can troubleshoot and mitigate migration and operational issues to boost savings and performance for Cloud Dataproc workloads.”
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