Cloud Disaster RecoveryCloud FoundationCloud Foundation 3.9Cloud Foundation 4ESXiESXi 6.5ESXi 6.7ESXi 7Site RecoverySite Recovery ManagerSite Recovery Manager 8vCenter ServervCenter Server 6.5vCenter Server 6.7vCenter Server 7VMware Cloud on AWSvSANvSAN 6.7vSAN 7vSpherevSphere 6.5vSphere 6.7vSphere 7vSphere with Tanzu
This section covers the business case, solution overview, and key results of DataStax Enterprise on VMware vSAN for development. Executive Summary Modern cloud applications—that create and leverage real-time value and run at epic scale—require a change in data management with an unprecedented transformation to the decade-old way that databases have been designed and operated.
This section covers the business case, solution overview, key results, audience, and terminology. Executive Summary The traditional approach of using physical servers for server deployment may be an option but not smart enough considering the benefits of virtualization.
Hybrid and Multi-Cloud Ready, Enterprise-grade Availability, Simplified Management Organizations are leveraging modern data platforms, such as Apache CassandraTM, to power new products and services across industries. For example, Cassandra empowers retailers to provide an omnichannel shopping experience with tailored customer experiences in real time.
Executive Summary Organizations are leveraging big data applications to underpin scalable applications across every industry. Whether it’s transactional data for banking or inventory and recommendation systems in retail, Apache Cassandra is the defacto choice for storing critical data in distributed applications.
Executive Summary VMware Enterprise PKS enables enterprises to deploy and consume container services with production-grade Kubernetes orchestration. It provides a comprehensive solution for enterprises developing and deploying cloud-native applications.
With the rapid expansion of event stream processing, decisions at the eco-system level must be made within a matter of seconds. Event streaming is a new paradigm where data is seen as a continuous stream of events.