The NetQoS Performance Center provides the most comprehensive collection of network performance data, analytics, and reporting available. No single source of data is sufficient to manage today’s complex environments, ensure optimal application delivery, plan for infrastructure improvements, and anticipate and manage their impact on performance. With access to customizable reports via a single console, the entire IT staff can access the data needed in the context they require helping improve cross-team communication and speed troubleshooting. Additionally, other groups are empowered to address initial problems and conduct preliminary research, enabling engineers to do less firefighting.
The NetQoS Performance Center helps you:
Make more informed infrastructure decisions. Proper network traffic analysis that leverages Cisco IOS Netflow, J-Flow, sFlow and IPFIX, allows for a true understanding of which applications, hosts and conversations are consuming resources. Alternatives to costly bandwidth upgrades such as implementation of QoS policies or WAN optimization can be explored and further validated through application response time monitoring. Customizable capacity planning and trending tools provide projection charts over various time periods that illustrate how the network environment will change for application response times, network traffic analysis, and device performance.
Mitigate the risk of change. Understanding “normal” performance through established baselines built on response time data is the first step in planning for changes, understanding and avoiding potential issues, and validating changes once implemented through comparison of before-and-after reports. Data center consolidation and virtualization are popular projects many organizations have implemented or are considering to help centralize control, streamline operations, and contain costs but have inherent risks that NetQoS helps anticipate while maintaining visibility into performance once projects are completed.
Ensure optimal application delivery. Collection of data from a variety of sources including end-to-end application response time, long term packet capture, network traffic data and infrastructure device MIBs provides the full picture required to provide optimal application delivery. Analytical capabilities that include baselines, thresholds, trending, anomaly detection and automatic investigations help engineers quickly identify problems, take corrective measure or even proactively avoid end-user impact. Leveraging data sources such as SNMP and Cisco IP SLA that have the ability to test across MPLS environments helps assess the readiness for latency-sensitive applications like VoIP and avoid negative impacts on performance.
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