RS2, a leading financial services technology company, is excited to announce the successful completion of a groundbreaking project in collaboration with Tier 1 banks. This ongoing initiative, which began in May 2020, focuses on implementing an advanced Elastic Cloudbased alerting, monitoring, and event management solution for the BankWorks transaction management system. This state-of-the-art system unifies the supervision of payment transaction systems and introduces the innovative Cross Application Alerting feature, enabling alerts based on interdependent subapplications. The integration of Elastic Stack’s machine learning capabilities marks a significant advancement in monitoring financial transactions, optimizing resource allocation, and enhancing operational efficiency.
We were invited by the American company Itron to join an international team for a project involving the implementation of system monitoring for an electricity and gas distribution company in a South-East Asian dwarf state. This project encompassed their entire electrical network. Our role was crucial, entailing the development and implementation of comprehensive plans based on the existing architectural plans of the monitoring system. We utilized various technologies, including integrating Nagios and Elastic Stack with the Federos Assure1 error ticket manager via SNMP Traps. Our team was responsible for the complete visualization in Kibana for numerous components and setting up alert systems. The entire solution was consolidated into an installation package designed using Ansible, enabling installation in environments lacking internet access.
As a subcontractor for Fujitsu Europe, we were tasked with auditing the transition project (New Concordance) of the European Commission’s Directorate-General for Translation (EC DGT) for their EURAMIS system. The essence of the project was to migrate the existing Oracle Text-based data repository to Elasticsearch. Simultaneously, the complete front-end and middleware solutions were being rewritten. In addition to conducting an audit of Elasticsearch, our company also implemented Elastic APM at the EC DGT. This was aimed at enabling more precise monitoring of the development processes.
Our consultants have participated in a project as subcontractors for HCL. The goal of the project is to develop an AI-powered knowledge base for the global electricity provider a large European Electricity Provider. The solution collects data from diverse sources such as SharePoint, Confluence, Jira, PDF documentation, MS Exchange (emails), the intranet, and various branches of this large European Electricity Provider ingests it into a cloud-based Elastic cluster. The Retrieval-Augmented Generation (RAG) component of the solution is implemented by HCL, while Elasticsearch is utilized exclusively for search-related use cases, including text search, semantic search, and vector search.
In a project titled Atlas Project, our consultants contributed to the migration from Splunk to the Elastic Stack for one of Europe’s largest stock exchanges. The first phase of the project focused on replicating all elements implemented in Splunk to the Elastic Stack in their existing „as-is” form. The second phase will involve leveraging Elastic Stack’s advanced features, such as Machine Learning, to enhance functionality.
Key highlights of the migration process include:
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