Case Study
In public services, applications for managing cases, documents, protocols, and departmental processes exchange data through an Enterprise Service Bus (ESB).
Without centralized monitoring, identifying anomalies and assigning responsibility among IT teams and vendors becomes complex, slowing down incident resolution and putting service continuity at risk.
Extra Red has implemented the Integrations Realtime Monitoring service: a cross-domain, flexible, and modular system that does not interfere with the existing communication channel, but simply observes, correlates, and interprets the data already flowing through it.
By using the community edition of the open-source stack, licensing costs were eliminated, allowing the investment to focus entirely on developing the solution itself.
Extra Red has implemented Integrations Realtime Monitoring, a flexible, modular, cross-domain system that observes and correlates data without interfering with existing flows.
Built on an on-premise open-source ELK stack (Elasticsearch, Logstash, Kibana), it provides three levels of monitoring (Basic, Advanced, and Semantic) and end-to-end traceability through a dedicated connector and logs with unique identifiers.
Kibana dashboards visualize data flows and KPIs related to messages, latency, and errors, enabling analysis down to individual messages. Proactive alerting, based on historical data, detects anomalous trends and triggers multichannel notifications.
Reduced MTTR through rapid diagnosis and automated tickets
End to end visibility and operational continuity
High uptime and service availability
Impacts
From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
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TEMA – Accurate Mapping and Forecasting for Emergency Management
Advanced Technologies and Tools for Natural Disaster Management (NDM)
ARIEN: an AI platform to support the fight against illegal drug trafficking
A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
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