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	Quick provisioning Highly configurable Local and cloud-based clusters Flexible MapReduce (FMR) clusters Supports polyglot Big Data infrastructure Ecosystem certification
Centralized Multiple Cluster Management	Improves usability through data visualization Supports cross-cluster analytics, optimizations, and self-healing
Multiple Vendors, Bundles, and Versions	Flexibility to set up or switch vendors, bundles, and versions
Nodes Management	Add or remove nodes Manage SNN
Cloud Activities	Launch, list, and terminate instances Launch FMR
Job Activities	Design, submit, list, and manage jobs
Other Activities	Manage users Configure or upgrade Hadoop
Access Role-based Cluster Functionalities	Jobs, services, and configuration management
Cluster Monitoring	Cluster and node-level resource monitoring via Ganglia integration
Cluster Profiling	Certify cluster performance Job profiling identifies poorly-written code

Big Data Cluster Management (Ankush) Data Sheet

Write to us at bigdata@impetus.com to know more about our Big Data Cluster Management Solution.