ROBIN Hyper-Converged Kubernetes Platform for Big Data. Manage entire Big Data pipeline Applications from deployment to lifecycle management: data ingest to visualization - Challenges
Setup your data pipeline on your existing commodity hardware
Scale-out and scale-up your cluster
Size your cluster appropriately and not waste resources
Absolutely! Set CPU, Memory and IOPS reservations to prevent any noisy neighbor problems
Share data with Dev and GA teams with built-in snapshot and clone capabilities
Right-size your clusters and allocate compute and storage resources as required

Big Data

Banish the struggle to deploy and manage Hadoop in your Kubernetes-based Enterprise environment

How I learned to stop worrying and love the data
Meeting Seasonal Data Peaks

Hortonworks & Robin Systems - On-demand Joint Webinar

ROBIN hyper-converged Kubernetes platform is a software-only solution that runs on-premises in your private data center or in public-cloud AWS, Azure, GCP environments that enables you to manage from a single interface big data environments such as Hadoop (Cloudera, Hortonworks) and build an effective Big Data pipeline that can withstand the volume as well as the speed of data ingestion and analysis. Robin brings to life a 1-Click simplicity to deploy and also Snapshot, Clone, Patch, Upgrade, Backup, Restore, Scale, Control QoS of the entire application. This is done with a single mouse click or REST API call independent of the size and complexity of the application.

Customers Choose ROBIN hyper-converged Kubernetes platform  for big data to:

  • Leverage the power of Kubernetes for big data
  • Slash deployment and management times from weeks to minutes
  • Share resources among multiple applications and users while guaranteeing performance isolation
  • Dynamically scale performance and capacity to meet changing needs
  • Decouple Compute and Storage and scale them independently
  • Handle volume as well as the speed of data ingestion and analysis

Robin Solution - Simple Big Data Pipeline & Application Management

ROBIN hyper-converged Kubernetes platform provides a complete out-of-the-box solution for hosting environments such as Hadoop in your pipeline on a shared platform, created out of your existing hardware – proprietary/commodity, or cloud components. The container-based ROBIN platform helps you manage applications as well as data and enables you to build an elastic, agile, & high-performance Big Data pipeline rapidly from a single interface.

  • Deploy on bare metal or on virtual machines
  • Rapidly deploy multiple instances of data-driven applications
  • No need to make additional copies of data
  • Deploy Kafka, Spark, Cassandra, Cloudera, Hadoop, ELK (Elasticsearch, Logstash, Kibana), Hortonworks and more
Build a big data pipeline with ROBIN Hyper-Converged Kubernetes Platform
Operationally you can think of a big data pipeline, as a cluster of applications that enable the extract-load-transform-view data-process. The applications used within the big data pipeline differ from case to case and almost always present multiple challenges.
The solution can be deployed on bare metal or on virtual machines, allowing organizations to rapidly deploy multiple instances of their data-driven applications without creating additional copies of data.

Big Data Applications

Deploy and manage the lifecycle of any big data Application such as Hortonworks and Cloudera with ROBIN hyper-converged Kubernetes platform and tackle all the challenges from the single user interface.

Hadoop is hard – but it need not be – ROBIN makes Hadoop management a breeze!

Big Data Pipeline

The applications used within the big data pipeline differ from case to case and almost always present multiple challenges.

Uniquely, ROBIN ties an entire business pipeline of applications to its member application/s to respective cluster/s and container/s to mounted storage volume/s to storage blocks across disks across storage nodes – the entire IO path with guaranteed IOPS and performance across the pipeline.

Deploy and manage any Application in the pipeline –
– Data ingest – Kafka, Sqoop, Flume
– Data storage – Hadoop, Hortonworks, Apache HBase, Cassandra
– Data Processing – Spark, Spark Streaming, Cloudera, R,
– Data Serving – Cassandra, MySQL, ELK, Rest
– Visualize – Kibana, Tableau, Pentaho

Deploy Data-Heavy Applications in Kubernetes with 1-Click

Simplify cluster deployment with Robin hyper-converged Kubernetes platform leveraging the Application management layer—provision an entire Kubernetes-based operational data pipeline within minutes

  • Deploy container-based “virtual clusters” running across commodity servers
  • Automate tasks – create, schedule and operate virtual application clusters
  • Scale-up or scale-out instantaneously to meet application performance demands

Cloudera Cluster deployment on ROBIN

Simple Application and Cluster deployment with ROBIN Hyper-Converged Kubernetes Platform

Scale to Meet Long-Term Growth with 1-Click

Build an elastic infrastructure with Robin hyper-converged Kubernetes platform that provides all resources to each application as needed

  • Create single-click clone of the entire data pipeline
  • Get out-of-the-box 2-way or 3-way replication
  • Create thin clones on the fly without affecting data in production
  • Achieve data sharing pointing HDFS of one cluster to another

Scaling & Cloning ELK Cluster

ROBIN Hyper-Converged Kubernetes Platform for Big Data. Manage entire Big Data pipeline Applications from deployment to lifecycle management: data ingest to visualization - Elastic Cloning and Scaling

Maximize Infrastructure Utilization through Consolidation

  • Eliminate cluster sprawl with data pipeline components on the same shared hardware
  • Enable multi-tenancy with performance isolation and dynamic performance controls
  • Leverage dynamic QoS controls for every resource – CPU, memory, network and storage

Share data across two Cloudera clusters

Cluster consolidation - ROBIN Hyper-Converged Kubernetes Platform for Big Data

Enable Application Time Travel with Cluster Snapshots and Restore

  • Take unlimited cluster snapshots with Robin hyper-converged Kubernetes platform capabilites
  • Restore or refresh a cluster to any point-in-time using snapshots

Application Time Travel

ROBIN Hyper-Converged Kubernetes Platform for Big Data. Manage entire Big Data pipeline Applications from deployment to lifecycle management: data ingest to visualization - Application Time Travel

Build an Agile and Elastic Big Data Pipeline - On-demand Webinar

  • Cover The Entire Pipeline From Data Ingest, To Data Storage, To Data Processing, To Data Server, To Visualization with Robin hyper-converged Kubernetes platform
  • Deploy, Scale, And Manage The Most Complex Big Data Applications With Just A Single Click Of A Button
  • Deal With Variety, Velocity, And Volume Of Enterprise Big Data

On-Demand Webinar

ROBIN Hyper-Converged Kubernetes Platform Business Benefits for Big Data

40% Higher Hardware Utilization

Cluster consolidation and QoS guaranty for your applications and your infrastructure

Time Saving

Deploy applications and clusters with a single-click with agile provisioning

Addressing Spikes and Growth

Scale up or out for seasonal spikes & create thin clones on the fly

Easy Data Sharing

Share data among dev, test & prod or between applications/clusters

Like what you see?

CONNECT WITH US