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Description

It is commonly believed that containers are primarily suited for stateless applications. Nevertheless, numerous organizations are recognizing the benefits of containerizing their databases for similar reasons as those for their web applications, including the ability to deploy updates more frequently, the simplicity of transitioning from development to staging to production, and the versatility to operate the same workload across various infrastructures. A recent survey by Diamanti has even identified databases as a leading use case for container adoption. Cloud Native infrastructure provides the capability for stateful applications to leverage elasticity and flexibility efficiently. Despite this, events such as hardware malfunctions, power outages, natural disasters, or other unforeseen circumstances can lead to significant data loss. This scenario complicates the recovery process for stateful applications, making it a critical challenge. Consequently, one of the key requirements for cloud native storage solutions is to ensure seamless recovery from such catastrophic incidents, enabling organizations to maintain data integrity and availability. Ultimately, as organizations continue to embrace containerization, addressing these challenges will be essential for maximizing the benefits of their deployments.

Description

ROBIN is the first hyper-converged Kubernetes platform in the industry for big data, databases and AI/ML. The platform offers a self-service App store experience to deploy any application anywhere. It runs on-premises in your private cloud or in public-cloud environments (AWS, Azure and GCP). Hyper-converged Kubernetes combines containerized storage and networking with compute (Kubernetes) and the application management layer to create a single system. Our approach extends Kubernetes to data-intensive applications like Hortonworks, Cloudera and Elastic stack, RDBMSs, NoSQL database, and AI/ML. Facilitates faster and easier roll-out of important Enterprise IT and LoB initiatives such as containerization and cloud-migration, cost consolidation, productivity improvement, and cost-consolidation. This solution addresses the fundamental problems of managing big data and databases in Kubernetes.