According to the Data on Kubernetes 2021 Report, organizations are 2x as productive after adopting Kubernetes to manage their data and workloads. As business demands increase, we can expect to see more organizations adopting data services to achieve faster, more efficient, and scalable DevOps operations.
Guide – A Quick-Step Guide to Achieving Faster, More Efficient, and Scalable DevOps Processes with Kubernetes Data Services
Kubernetes data services enable DevOps organizations to move data between time and space in 40 seconds or less to:
- Gain a competitive advantage
- Achieve faster deployments
- Increase agility and scalability
- Improve quality and security
Approximately 85% of all deployments in the next four years will use Kubernetes. The time to take advantage of Kubernetes data services to stay one step ahead of the competition is now.
Download our quick-step guide on how to leverage Kubernetes data services.
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Praise for ionir
"Ionir offers a unique solution to the data persistence, protection, and mobility challenges inherent in running stateful applications on Kubernetes."
"Container-native storage holds real promise for ensuring Kubernetes data persistence, while enabling convergence and automation of myriad data protection and management services IT typically has to cobble together now."
"Cloud is omnipresent, offering benefits to clients like faster time to market, ease of use, etc. However, data mobility does present a few challenges, which is what ionir manages successfully. We look forward to working closely with their team to enable our global clients to navigate multi-cloud environments seamlessly."
"A new DevOps Kubernetes Container Storage Platform is needed that can allow data instances to be orchestrated like applications using Kubernetes with the DevOps toolchains – a concept ionir has pioneered."
"The core technology behind ionir was 8 years in development. Two intersecting areas of innovation set the approach apart from all other attempts at container native data and storage management. First is a new approach to metadata that allows instant mobility of data in both place and time. The second is a microservices architecture that isolates core processing from external interfaces enabling extensibility and scale."
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