As public cloud providers continue to attract a growing number of big data projects, many enterprises are finding that hybrid and multi-cloud environments are an inevitable target for their data operations. There is a growing need to have consistent IT processes and around data operations whether running in the cloud, on-premises, or a hybrid of both.
The evolution of Spark, Hadoop and the data ecosystem has given rise to an increased use of public clouds to run big data, AI/ML and advanced analytics use cases. Data pipelines and applications will likely live both inside corporate firewalls and inside the virtual boundaries of public clouds.
Operational consistency via common data collection, correlation, and data model
Unravel makes sure your data teams are speaking the same language, and using the same metrics
Managing, tuning and troubleshooting data applications in hybrid and multi-cloud environments is complex and prone to user error. Data Operations teams may collect inconclusive findings due to a lack of consistent operational metrics. Unravel provides the data driven context to ensure maximum performance from your hybrid cloud infrastructure by
Unified user experience and end-to-end Insights for all deployment models
Understand how your data systems and resources are being consumed and plan for the future.
With every IT Operations team constantly looking to do more with less, Unravel provides a data driven view of exact cluster resource usage including:
Be prepared for when your hybrid cloud strategy becomes a cloud migration strategy
Get critical insights into your current on-premises or cloud clusters to understand migration costs and benefits beforehand
Most big data programs are in a consistent state of evolution and maturation. The compelling economic forces behind public cloud deployments of big data will inevitably lead data teams to migrate some – if not all – of their data pipelines and applications to the cloud. To help you be prepared for a cloud migration, Unravel: