We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.
We introduce our support for Dataproc as Google Cloud enters what is widely referred to as ‘Act 2’ under the watch of new CEO Thomas Kurian. We can expect an acceleration in new product announcements, engagement initiatives with the partner ecosystem and a restructured enterprise focused go-to-market model. We got a feel for this earlier this year at the San Francisco Google Next event and we can expect a lot more coming out of the highly anticipated Google Cloud Next ’19 event in London coming in November.
As cloud services adoption continues to accelerate, the complexity will only continue to present Enterprise buyers with a bewildering array of choice. As outlined in our Understanding Cloud Data Services blog, wherever you are on your cloud adoption, Platform evaluation, or workload migration journey, now is the time to start to accelerate your strategic thinking and execution planning for Cloud based data services.
We are already helping customers run their big data workloads on GCP IaaS and with this new addition, we now support cloud native big data workloads running on Dataproc. In addition, Unravel plans to cover other important analytics platforms (including Google BigQuery) as part of our roadmap. This ensures Unravel provides an end-to-end, ‘single pane of glass’ for enterprises to manage their data pipelines on GCP.
Learn more about Unravel for Google Dataproc here and as always please provide feedback so we can continue to deliver for your platform investments.
Press Release quoted below.
Unravel Data Launches Performance Management and Cloud Migration Assessment Solution for Google Cloud Dataproc
PALO ALTO, Calif. – October 22, 2019 —Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, today introduced a performance management solution for the Google Cloud Dataproc platform making 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:
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 of 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.”
Unravel for Google Cloud Dataproc is available now.
Take Unravel for a Test Drive by visiting here. Sign up and get instant access to the Unravel environment. Take a guided tour of Unravel’s full-stack monitoring, AI-driven recommendations, automated tuning and remediation capabilities.
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About Unravel Data
Unravel radically simplifies the way businesses understand and optimize the performance of their modern data applications – and the complex pipelines that power those applications. Providing a unified view across the entire stack, Unravel’s data operations platform leverages AI, machine learning, and advanced analytics to offer actionable recommendations and automation for tuning, troubleshooting, and improving performance – both today and tomorrow. By operationalizing how you do data, Unravel’s solutions support modern big data leaders, including Kaiser Permanente, Adobe, Deutsche Bank, Wayfair, and Neustar. The company is headquartered in Palo Alto, California, and is backed by Menlo Ventures, GGV Capital, M12, Point72 Ventures, Harmony Partners, Data Elite Ventures, and Jyoti Bansal. To learn more, visit unraveldata.com.
The name Unravel Data is a trademark of Unravel Data™. Other trade names used in this document are the properties of their respective owners.
Jordan Tewell, 10Fold