Traffic Monetizer

The formulation and verification of IT budgets usage is crucial in the continuous monitoring of SLA compliance and data center profitability.

The use of infrastructures dedicated to the provision of services requires a unit of measurement that expresses, with a single value, the quantity and quality of the service provided.

This is why Oplon Traffic Monetizer was born, a data warehouse specifically designed for the real-time processing and aggregation of the huge mass of traffic data coming from the routing and balancing layer.

The system is based on the calculation and aggregation of the times of use of the individual services. This value expresses a direct relationship between the budgets allocated for the provision of the service, and their actual use. In a word, Government.

Maintaining SLAs, and therefore the cost of quality and quantity of the service, is a value that will become increasingly important in the industrialization process of data centers and in their evolution in commodity (aka CLOUD computing).

Oplon Traffic Monetizer is the answer to the need for continuous and objective measurement to prevent disruption caused by the changeability of the initial conditions, such as an increase in activities and therefore a re-adjustment of the budgets for the maintenance of initially established service levels.

Oplon condenses, in a single solution, these measurement needs regardless of the technologies used, such as different types of virtualization, different architectural layers, storage, physical machines, leaving wide architectural freedom to the evolution of the data center.

Constant monitoring

Oplon Traffic Monetizer has a highly defined analytical and transactional data population and aggregation engine for huge volumes of data (BIG-DATA) to support enterprise business intelligence, accounting and billing platforms.

The design model is based on five fundamental elements:

  1. Control
  2. Population
  3. Aggregation
  4. Archiving
  5. Destruction

Oplon Traffic Monetizer uses a relational database to historicize traffic statistics. The database and its manager can possibly be installed separately from the balancing service in order to consolidate traffic statistics from different nodes. The same analytical data from balancing systems can be aggregated and analyzed differently and simultaneously to meet the needs of application verification, networking, application utilization, and SLAs compliance in intrusion and phishing analysis.

Oplon Traffic Monetizer is able to capture time data on both system and application responses by analyzing all phases of traffic, from the acquisition of the request to the service connection phase up to the detection of the last information sent from the service to the clients, measuring the response times of individual services with splits on the infrastructural layers and identifying all elements of both the infrastructure and application chain.

Data life cycle analysis allows timely isolation of infrastructural anomalies at multiple levels by highlighting areas for intervention to improve service usability. Through the graphical interface it is possible to check for each module the current profile, status and view logfiles. It is also possible to start or stop the module and notify by email the event (watchdog). This makes it possible to detect any anomalies, including application anomalies, for immediate corrective action.

Data analysis highlights not only the absolute performances of the applications, but also allows to separate the various phases of the service evolution into multiple elements, such as connection time, first response time and, in general, the partial information traversal times, allowing an accurate diagnosis of the problem. The sophistication of the data collected with nanosecond (billionth of a second) granularity allows for depth traffic tests to be carried out also detecting the intermediate times of information travel through the architectural layers.

Request and Response times analyses (Response-Time) dissected into partial times (Lap-Time) allows precise analysis to identify bottlenecks and lays the foundations for their solution.

The architecture allows the writing, consolidation and aggregation in real time of several million records per hour, providing the analysis and reporting systems for immediately usable views and data sets. Oplon Traffic Monetizer comes with consolidation templates in source format from which further interpretations of traffic data can be customized and adapted ensuring flexibility of use and growth over time.

Oplon Traffic Monetizer can be integrated into various Business Intelligence platforms and monitoring systems.

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Traffic Monetizer Light

Traffic Monetizer Light