Built-in
ENTERPRISE-GRADE STORAGE STACK - Snapshots, Clones, QoS,
Replication, Data rebalancing, Tiering,
Thin-provisioning, Encryption, and Compression
FLEXIBLE NETWORKING - OVS, Calico, VLAN, Overlay networking, and Persistent IPs
Architecture
Big Data, Databases, and AI/ML
ROBIN solves fundamental Kubernetes challenges
to run stateful complex workloads
in containers and Kubernetes
Use Cases
Can OpenShift or Mesosphere do this?
Kubernetes was built for microservices and is not designed for stateful big data, database and AI/ML applications. ROBIN extends Kubernetes to these data-heavy applications with built-in storage and networking.
1-click app and cluster provisioning including network and storage for data-heavy apps running on Kubernetes
Hyper-Converged Kubernetes White PaperHyper-Converged Kubernetes White Paper
Provide both network and storage persistence in the event of Application Pod failures
Built-in Networking - ROBIN ArchitectureBuilt-in Networking - ROBIN Architecture
Execute 1-click application lifecycle operations for data-heavy apps on Kubernetes - snapshot, clone, patch, upgrade, migrate
Comparative White PaperComparative White Paper
Guarantee SLAs when consolidating, support data locality, affinity, anti-affinity and isolation constraints for your storage?
Built-In Storage - Why ROBINBuilt-In Storage - Why ROBIN11
Security events ingested and analyzed a day (DevOps simplicity for Elasticsearch, Logstash, Kibana, Kafka)
Case StudyCase Study
6
Under active management in a single Robin cluster (Agility, consolidation for Cloudera, Impala, Kafka, Druid)
Case StudyCase Study
400
400 Oracle RAC Databases managed by a single Robin cluster (Self-service environment for Oracle, Oracle RAC)
Case StudyCase Study
Eric Smith, USAA Chief Data and Analytics Officer
“We chose ROBIN because it allowed us to simplify and automate how our analytic pipeline is managed. Our big data infrastructure has been growing dramatically, and we needed a solution that made it easy to manage and scale these applications that was also consistent with our cloud roadmap. Robin checked all these boxes, and we have been very pleased so far with the efficiency and agility improvements achieved with their platform.”
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Rajesh Mishra, President and CTO, Parallel Wireless
“We chose ROBIN for our big data Analytics solution because it was the only container-based solution that met our performance and scalability needs. When you start looking at various parts of the cellular network where you need speed, reliability and redundancy, containers deliver highly flexible programmable infrastructures. The ability to guarantee QoS per micro-service or an application is an enabler of on-demand scalable virtualized environments for real-time data mining in our Data Lake. Being able to deploy a data center on demand through containers will help global MNOs to transform their networks and will greatly benefit them with the ability to process millions of real-time events per second resulting in cellular networks being more intelligent and automated.”
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