User perceptions when interacting with connected applications can be determined by NetEye in two ways: by simulating user interactions, or by analyzing actual data generated by real users. Real User Experience doesn't just calculate performance and average latencies collected from real transactions, it also offers a more sophisticated analysis with statistical methods and the use of AI and Machine Learning.
NetEye verifies IT service availability, regularly simulating a sequence of user actions. Based on these metrics NetEye creates graphs and other visualizations that show trends at the granularity of a final user. Greater trust in your services is achieved by having end-to-end control over the network and applications, allowing preventative identification of bottlenecks for availability and performance. By comparing live performance measures on various applications to pre-defined threshold values, you can react quickly and prevent potential slowdowns.
NetEye ITOA (IT Operation Analytics) measures your existing resources such as CPU load, RAM usage, and latencies at various levels (operating system, database, application, network). These measurements provide data to estimate the cost-effectiveness of migrating individual services to the cloud, as well as identifying and then scaling down unused resources.
Our machine learning algorithms examine numerous time series simultaneously and interpret each individual timestamp as a state of the overall system. To predict possible side effects and prevent slowdowns, NetEye visually shows you differences between current performance trends and historical data.
Slow downs and attacks on the systems are initially manifested as anomalies in the network. NetEye reliably detects these anomalies at an early stage. NetEye uses complex static analyses that go far beyond traditional approaches that only calculate the average values. Thanks to a graphical visualization, you can control your network traffic and resolve problems before they occur.
The increasing need for CPU, RAM and storage demands a precise forecast for these necessary resources. Although modern technologies offer the possibility to add resources "on demand", the costs increase accordingly. With NetEye capacity management you can accurately project future needs, allowing better planning of resources and costs.
IoT and IIoT generate enormous amounts of data that are useful for gaining important insights and predictions. The data must therefore be processed in real time using machine learning and artificial intelligence (AI) methods. NetEye acquires data from IoT and IIoT sensors and aggregates them visually in clear dashboards, providing an in-depth view of the status of the processes connected to these devices.
In distributed application architectures and microservices, troubleshooting and solving bottlenecks is generally time-consuming and complex. Application Tracing can help identify exactly which lines of code are responsible for blockages, thanks to the Elastic APM technology integrated in NetEye.
... companies that monitor their business processes with NetEye
... service checks performed daily by NetEye
... active contract agreements
... % growth for our IT System Management Division
... the level of customer satisfaction on a scale of 1 to 10
... new appliances deployed in 2017