Enables you to cut costs and to speed up your business.
Any anomaly or malfunction that is happening in your system and giving you a headache, we can track and find a root cause of the issue in real-time. When the root cause of the issue is found, domain experts will provide the solution and train AI models with their knowledge (collective knowledge). After our AI models have learned enough information about your system, they will be able to fix old and new issues on their own. DataFlux Observability solution is modular, which means we can adapt it to the client needs in a no time and deliver custom maid solutions for each customer.
Automation of problem finding and problem solving
Faster reaction, problem solved quicker with less or no impact on services
Collective knowledge, the main strength of any company is knowledge and this stays in the company
Lower costs for running
Observability platform is a modular solution which gives us the possibility to customize the solution just right for your needs.
Modules like deep analytics, aRCA, self-healing, predictive maintenance and Machine Learning/Artificial Intelligence enable us to provide you with everything that you need for autonomic and smooth running of your business.
DataFlux system is data agnostic which means it will process everything from structured to unstructured data types, such as metrics, logs, KPIs, alarms, network packets and much more. Through this system, users can deep dive in the data analytics on several layers and represent them in different views, such as graphs, charts, tables and heat maps.
By actively observing the complete network, we can detect a problem in a fraction of a second. We can also detect where the problem occurs, yet we can determine the direct cause of the problem. After the root cause of the problem is detected, a domain expert who is responsible for the specific area can solve the problem in a matter of seconds/minutes.
Machine Learning (AI) is our secret ingredient that runs and enhances all the processes in the DataFlux platform.
Machine Learning model – all events that bring specific error messages are correlated and classified as an incident by a human expert.
DataFlux ML model collects all entered data and learns about correlated events and classified incidents.
Artificial Intelligence model – learned data are collected and used for training of our Artificial Intelligence model. The more data AI model consumes, better it will be in decision making when new problems occur.
After DataFlux has learned a huge amount of data about events and incidents, it will be able to handle old and new incidents. The system will detect, correlate and solve the incident on its own. Every new incident will be cross-checked with incidents from the past and if the new incident is not in the database, the Artificial Intelligence model will analyze new events and offer the best possible solutions for the incident.
Infrastructure – by actively monitoring complete network infrastructure our AI models will detect any oscillation of the normal behavior and it will treat it as an anomaly. If these anomalies start to appear regularly, DataFlux will give predictions until the infrastructure is able to function without service impact.
Data – predictive analytics. DataFlux will detect if there is an unusual amount of traffic in an observed system or if the data is corrupted. In the first moment of detection, corrective actions will be performed, to stop further data damage.