Cisco Cisco HyperFlex HX240c M4 Node Leaflet

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Criteria for Next-Generation
Hyperconvergence
© 2016 Cisco Systems, Inc. All rights reserved. This document is Cisco Public Information. 
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such as the needs of containerized 
and bare-metal workloads.
• 
Performance shortcomings: The 
network is essential to cluster and 
application performance, but it was 
left as an unspecified, manually 
configured, do-it-yourself project.
• 
New management silos: New GUIs 
simplified deployment and operation 
of cluster nodes, but they added 
new tools that didn’t fit in with 
existing data center best practices. 
These tools lacked capabilities such 
as automated server management 
and APIs to support programmable 
infrastructure and integration 
with higher-level tools. Today’s 
DevOps environments need these 
capabilities.
• 
Security risks: Hyperconverged 
environments are dynamic, but they 
sometimes sacrifice security to 
quickly move virtual machines from 
server to server. Network security is 
difficult to enforce because virtual 
networks are treated differently than 
physical ones.
Defining Next-Generation 
Hyperconvergence
A lack of clarity about what IT 
organizations really need from 
hyperconverged infrastructure has 
made hyperconvergence difficult 
to define as well. Numerous 
companies may call their products 
“hyperconverged,” but these 
offerings all have different features 
and shortcomings that make them 
impossible to compare. We propose 
a definition of next-generation 
hyperconvergence that addresses 
these shortcomings (Table 1). 
Characteristic
First Generation
Next Generation
Interoperability
• Creation of new 
management islands
• Isolated data not managed 
by data center best 
practices
• Isolated infrastructure 
• No interoperability with 
other clusters or clouds
• Single point of management
• Consistent policy management 
across computing, networking, 
and storage resources to reduce 
security risk 
• Integration with data center best 
practices and existing tools
• Integration with hybrid cloud and 
support for public cloud storage
• Open API that enables integration 
with higher-level tools and 
provides programmability
Hybrid cloud 
support
• Help in creating private 
clouds
• Integration with hybrid cloud 
solutions
Data 
optimization
• Features, if available, built 
as add-ons
• Integrated, always-on enterprise 
storage features
• Data lifecycle management
Workload 
support
• Virtualized workloads only
• Virtualized workloads with broad 
hypervisor support
• Containerized workloads to 
support lightweight services
• Bare-metal workloads running 
directly on nodes
Infrastructure 
convergence
• Software-defined storage
• Software-defined computing with 
composable infrastructure
• Software-defined networking
• Software-defined storage
Security
• Virtual networks with limited 
visibility and control
• Automated and policy-based
• Isolated application tiers, 
application instances, and tenants
• Microsegmentation to provide 
enhanced security for east-west 
traffic within the data center
• Incorporation of physical servers 
and virtual machines with 
equivalent visibility and control
Scaling
• Rigid, monolithic appliances
• Microscaling of all resources on a 
highly granular basis
Table 1. Requirements for Next-Generation Hyperconvergence