Published on
February 24, 2025

Delivered a Modular and Intelligent Monitoring Solution

Client:
Our client, an international company specialized at innovative solutions for Oil and Gas industry, aimed to enhance operational efficiency through a real-time monitoring platform capable of visualizing KPIs, processing large-scale data, and generating actionable alerts for their clients.

Business Challenge:
The client faced the challenge of implementing a monitoring platform that could handle real-time data ingestion, analytics, and visualization while maintaining flexibility and scalability. With a complex ecosystem of streaming platforms and data configurations, their in-house team required support in developing a system that met the unique requirements of their diverse clients, within a strict timeframe.

Solution:
Camros Tech designed a scalable and modular architecture featuring a robust data pipeline, alerting system, and interactive dashboards. The solution incorporated:

  • A streaming service for real-time data processing and batching.
  • A logical unit for triggering actions and rules-based analytics.
  • A data lake for historical data storage and future AI-driven insights.
  • Config management through Redis and a single-page application for user-defined thresholds and settings.

With our agile and collaborative approach, we ensured this solution adhered to operational goals and regulatory standards.

Outcome:
Within a short development cycle, we launched a powerful monitoring platform capable of processing data at different intervals, visualizing real-time and historical KPIs, and triggering instant email alerts. The system’s modular design enables future scalability and easy integration of new features. This solution not only enhanced operational visibility but also empowered our client to make faster, data-driven decisions.

Client Location
Norway
Client Industry
SAS Provider Upstream Oil & Gas
Expertise Delivered
Software Engineering Services and Cloud Consulting Services
Technologies
TypeScript, Python, Microsoft Azure, Azure Functions, Azure Event Hub, Azure Stream Analytics, Azure Logic app, MS SQL, and Redis.