2 top ways you’re overspending. See where.
Smooth your path to the cloud with Unravel cloud migration assessment, guidance, and automation.
Does it make financial sense to migrate your Hadoop and Spark apps running on Cloudera or MapR to the cloud?
Do you have the data and insights to know for sure?
Whether you are considering a cloud migration to Microsoft Azure, AWS or GCP Unravel provides the intelligence and visibility with our best-in-class cloud migration assessment that answers key questions while reducing the cost and effort of your cloud migration.
Plan for success with predictive analytics
Look before you leap into the cloud – make the right choice for your cloud migration strategy with AI-driven insights and assessments.
As you’re migrating your Spark and Hadoop applications to the cloud, Unravel helps ensure you won’t be flying blind. With data-driven intelligence and recommendations for optimizing compute, memory, and storage resources, Unravel makes your transition a smooth one. Among our capabilities in this area Unravel:
Slice and dice application workloads to ensure effective cloud migration validated by real-world data and recommendations
Ensure the best possible transition to the cloud with insights and guidance before, during, and after migration.
Unravel provides a deeper level of insight into your cloud migration. Unravel reveals the relative success and cost of your move to the cloud and offers actionable recommendations for improving these metrics. To increase your odds for a successful migration, use Unravel to:
Post-migration cost accounting, chargeback and optimization
Objective proof of success: get the insight you need to demonstrate and increase your return on investment.
Unravel helps quantify the success of your migration – and make the benefits tangible to your business – by providing the hard facts, clear metrics, and informed forecasting you need. Unravel also continually delivers new intelligence and recommendations to keep delivering consistent, cost-effective performance for the long haul.