Ankush: Effective Big Data Cluster Management
Big Data cluster management is a thankless task. While all the buzz is about Data Science, well-configured and well-managed clusters are what enable you to transform your data into real, competitive advantages.
Still, many organizations today are struggling to manage and maintain their Big Data clusters using a variety specialized tool sets– tools that come with their own strengths and weaknesses, not to mention the expense of another vendor relationship.
Wouldn’t it be great if there was a single, vendor-neutral tool that enabled you to provision, manage, and monitor all of your Big Data clusters? Ideally, this solution would make it easy for you to provision Big Data clusters on demand, locally, and on the cloud. It should also enable you to tune clusters for better performance, monitor cluster resources, and apply configuration changes to all of your clusters from a single interface.
Ankush, developed by Impetus Technologies, addresses the challenges of provisioning and maintaining Big Data clusters and optimizes your ability to run those clusters successfully in a production environment.Ankush helps you:
- Provision a Big Data cluster and its required ecosystem rapidly, easily, and productively
- Manage multiple clusters and cluster activities for both local and cloud-based clusters
- Perform proactive monitoring and analytics
- Manage a polyglot Big Data infrastructure
Ankush offers an easy to use common interface for local and cloud-based clusters that can help you reduce cluster setup time by up to eighty percent.
Key Features and Benefits
|Big Data Cluster Setup||
|Centralized Multiple Cluster Management||
|Multiple Vendors, Bundles, and Versions||
|Access Role-based Cluster Functionalities||