A complex network is easier to manage when visualised. Network devices do volumes of data logging, leaving CIOs and engineers struggling to make sense of volumes of data. Without the right analysis tools, opportunities are missed to provision services at peak performance. With big data analytics having matured over recent years, network data analytics has become increasingly important to understanding performance degradation issues in complex systems. This means that network performance tools are available to leverage network data for optimising performance, stability and security.
IT Operations Analytics (ITOA) platforms employ powerful data scrutiny tools built into their solutions to provide CIOs and engineers with key insights into performance metrics. Given the volume and velocity of data traversing the current-day enterprise, sifting through mountains of data to discover root causes simply doesn’t cut it. Proactive real time analytics is needed to make a meaningful impact on short and long-term network performance challenges.
Network performance tools that make sense of all that data
Taking the big data approach to network management means that IT is able to collect large volumes of information into a centralised repository and repurposing it for detailed analysis Detailed graphs based on multiple information channels give impetus to more proactive monitoring and management. Identifying improvement opportunities with the aid of smart visualisation tools that rely on real time data gives IT staff higher success rates in achieving the intended outcomes to upgrade undertakings. Sophisticated network performance tools such as IRIS, bring IT managers and engineers a more detailed presentation which facilitates quick identification trends as they develop, and also allows users to drill down to non-network related causes of poor performance.
Analytics’ role in network reporting and performance management
As most large organisations move to big data analytics for enhanced inter-departmental collaboration, improved workflows and better management of data, IT departments are also leveraging it to achieve optimised service provisioning. Predictive analytics make it possible to determine the outcome of changes made in the environment, actively identify developing trends and mapping out expansion projects with superior accuracy. Big data technology applied in the networking context allows CIOs to centralise monitoring functions and eliminate the traditionally disparate method of managing large, complex systems.
IRIS NS brings big data analytics to network monitoring
IRIS offers a central view of network performance data collected with lightweight pollers that have minimal impact on overheads. Its capacity to collect and store large quantities of data for detailed analysis sets it apart from other network performance tools. Get acute insight into your environment without bogging your nodes down, with excessive processing requests through IRIS’ lightweight polling technology. With IRIS, network management is simplified with a smart collection of rich data and stored centrally for interpretation. IRIS is a network performance tool that tackles the challenge of big data for networking professionals that need real time insight into the status of complex networking environments.
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