Developed and launched the company's first observability dashboard, providing real‑time system performance insights and data visualization on the large office TV.

Situation. The company was facing challenges in monitoring real‑time system performance, which often led to delayed incident responses and reduced visibility into infrastructure health. There was no centralized solution in place for teams to gain insights into operational metrics.

Task. The task was to develop a solution that would enable technical and non‑technical stakeholders to monitor key system metrics in real time, with a focus on accessibility, clarity, and proactive issue detection.

Action. The company’s first observability dashboard was designed and implemented, collecting all essential system metrics — such as CPU, RAM, HDD, temperature, and more — from remote Linux servers via SSH. Even Docker containers were monitored using this method. Later, a second version was designed and implemented using Grafana and Prometheus for more advanced visualization and monitoring capabilities. Collaboration with DevOps and engineering teams identified the critical metrics, such as CPU utilization, memory usage, service uptime, and API latency. Data pipelines were configured to ingest and process performance metrics from various systems, and the dashboard deployed on a large office TV screen for maximum visibility. Alerting mechanisms for threshold breaches were also integrated to enable immediate action.

Result. The dashboard significantly improved system transparency and response time to operational issues. Teams were able to detect and resolve incidents 40% faster. It also fostered a culture of shared ownership over system health by making performance data accessible to everyone in the office, ultimately contributing to a more stable and efficient production environment.