Traffic Monetizer making event correlation reliable
Imagine a data traffic tracking system capable of verifying, both in real-time and in retrospect, errors and anomalies allowing you to identify correction and improvement points in a very short time. Well, such a system does not need to be imagined because it already exists and is called Oplon Traffic Monetizer.
But let's take one step at a time and see how application services work. Their provision is increasingly articulated and provides for a greater number of other services that all contribute together to form the final service that is presented on our browser. This trend is tried and true and has grown with the spread of microservices, such as Docker and Container, which make these types of architectures more appreciable.
On the one hand, this technology has undisputed advantages. On the other hand, the greatest criticality that can be generated immediately emerges: the failure of even one of these microservices can be terribly impacting and extremely difficult to identify.
To give a practical example, just think of an increasingly widespread scenario: the access to a reserved area to check the balance of an account. If one of the background services that make up this feature fails, the user will see an incorrect value with the consequences that we can all easily imagine.
Obviously, this type of vision is very simplified because in reality there are various implications and correlations given by authentication and authorization processes. It goes without saying that being able to trace the cause of the problem risks becoming complicated, requiring very long times, most of the time incompatible with the nature of the service which instead must allow rapid and continuous use.
Oplon Traffic Monetizer was created precisely to solve thorny situations where the tracking of data traffic allows to pin point the area of improvement in a very short time. Managing services today means industrializing processes, therefore guaranteeing high-quality standards on an ongoing basis. The key to success in the business is to correctly correlate events with constant monitoring.
To understand if a service boasts industrial quality standards, it is necessary to evaluate three different steps: measurement, level of reliability and safety.
Measurement is essential because it allows for the cascading improvement of all aspects related to reliability and safety. All this is made possible thanks to the detection of points of inefficiency suggesting the changes to be made to have performing services without losing control of costs. The parameters that are monitored include service performance, compliance with Service Level Agreements, resource consumption for cost calculation and use of billing services.
Offering innovative services, guaranteeing solidity, reliability and safety without losing sight of costs is the challenge that today sees all companies engaged. This is why we can speak of Capacity Planning, a term taken from the classic industry, but which today becomes a fundamental element for all IT managers.
Any production department must obtain an increase in the efficiency of services and the maintenance of high-quality standards: a challenge where Oplon guarantees a clear competitive advantage.