SLA Compliance / Improved Quality of Experience (QoE)
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| Optimize Virtualized Data Centers in Real-Time |
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- Full integration with VMware’s VirtualCenter and Radware’s AppDirector
- Respond in real-time to changes in business demand
- Automatically take action to proactively prevent SLA breaches
- Evaluate QoE in real-time and respond immediately to QoE degradation
- Ensure best number of running VMs to maintain optimal QoE
- Activate VMs from a predefined pool to support higher workloads
- Optimize workload by balancing the load between all VM instances
- Gracefully start/suspend VMs or dynamically change shares* allocation
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| Manage Based on Policies and QoE KPIs |
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- Powerful, intuitive rules and policy engine
- Out-of-the box policies for ease of configuration
- Easily-customizable for non-routine tasks
- Non-invasive, QoE-based KPIs include:
- Business-Smart KPIs (e.g., transaction business value)
- Network-Based KPIs (e.g., user experience, traffic load, TPS)
- VMware Virtual Center KPIs (e.g., CPU, memory utilization)
- Protocol KPIs (e.g., HTTP error count)
- Ability to import/export 3rd-party application KPIs
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| Measure Performance Objectively |
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- External to the virtual environment
- Independent of virtualized constraints
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Dynamic Resource Allocation
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| Align Resources to Business Needs in Real-Time |
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- Analyze business event data (e.g., transaction value) of web-based application traffic
- Update the priority (shares) assignment of all VMs associated with the application according to business event data
- Allocate bandwidth to applications according to actual and real-time business priority
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VM Count Optimization
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| Accurately Estimate and Control VM Deployment |
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- Control the initialization or suspension of VMs on-the-fly as QoE levels change
- Rationalize the number of VMs to actual need
- Preserve Green IT benefits related to power, cooling, and space
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Physical-to-Virtual (P2V) Risk Reduction
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| Reduce Migration Risk for Mission-Critical Applications |
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- Objective, real-time monitoring of the virtualized environment and user experience
- Real-time alerting and reporting on QoE degradation or SLA breaches
- Actions automatically taken to ensure QoE improvement upon problem detection
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| Operate in Advisory Mode |
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- Ability to operate in passive mode; no actions are actually taken
- Log data of suggested optimization actions for business-case development or concept proofing
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Cloud-Based Computing Support
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| Leverage “Smart” Site Selection |
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- Enable global capacity on demand
- Optimize the amount of VMs across all data centers (proprietary, service provider-based) worldwide
- Start/suspend VMs across all data centers (in our out of the cloud) in order to achieve best QoE
- Redirect users to a datacenter in the cloud in case of poor QoE while maximizing all local data center VMs
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Scalable Adoption / Quick ROI
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| Fits Any-Scale Data Center |
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- Scale on demand to support increasing data center volume
- Deployed out-of-path for non-intrusive network deployment
- Fully redundant
- Easily deployable for quick ROI
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