Our big data analytics solution is heavily based on our telecommunications domain expertise and is also strengthened by the near real-time data processing. It relies on a high scalable and distributed, cloud-based microservice architecture. It is crafted for telecommunication service providers, having up to 10Tbps network traffic to be analyzed continuously.
As a result of the Hungarian Ericsson Research's innovation, EEA measures perceived customer experience for each individual subscriber based on correlated metrics and events from network nodes, probes, subscriber devices, OSS/BSS and another sources. By converting data to impactful insights, using Artificial Intelligence / Machine Learning (AI/ML) methods when appropriate, EEA allows operators to predict, prioritize and resolve customer-impacting events. Insights can be used by Ericsson's Intelligent Automation Platform or by other connected OSS/BSS systems to react on various events and symptoms automatically too.
The center of the development is in Budapest, Hungary. Our organization is responsible end-to-end for the design, development, verification, maintenance and customer deployment support of EEA.
The product is built using cloud-native application technologies, using several industry standard tools and concepts like Kubernetes, Docker, Jenkins, Spinnaker, Linux, Kafka, Prometheus, Grafana, Vertica, Spotfire, multiple level of automated testing (unit, function, integration, performance, robustness, stability testing), DevOps, CI/CD and more. We use C++, Java and JavaScript as our languages, but also work heavily with Python, Scala and Bash.