Scalable Monitoring Solution

Ensuring the reliability and performance of infrastructure is crucial, especially when it comes to tracking key metrics and addressing issues before they affect users. Our challenge was to implement a monitoring solution that provided real-time insights into both application and infrastructure health. We needed a system that could scale, collect critical data and offer easy-to-understand visualizations to aid in troubleshooting and optimization.

We implemented a Prometheus-based monitoring solution on AWS EKS using Helm and Kubernetes. This setup allowed us to track key performance metrics like CPU, RAM usage, network traffic and pod restarts. Prometheus automatically collects and stores the data, helping us monitor system health and proactively resolve issues. We integrated Grafana for data visualization, enabling customized queries to track trends and monitor resource usage. We used AWS EBS GP2 volumes for storage, balancing performance and cost. Additionally, we fine-tuned resource usage to avoid bottlenecks in the infrastructure.

Chatseedo was successfully developed and launched and users have shared great feedback. They particularly love how easy it is to search for events nearby or in different cities and how the advanced filters make finding the right event much faster. The detailed event information, including price and location, also made it easier for users to decide which events were worth attending.

Real-time Monitoring: Continuous tracking of key performance indicators like CPU, RAM and network usage. Proactive Issue Resolution: Early identification of potential issues before they affect users. Data-driven Decision Making: Grafana's visualization helps make the data more accessible for quick, informed decisions. Scalability and Efficiency: The solution is repeatable and scalable across different environments, ensuring consistent performance.

Prometheus: Metrics collection and storage for real-time monitoring. Grafana: Data visualization and dashboard creation for easier access to system health information. AWS EKS & Kubernetes & Helm: Scalable, repeatable Kubernetes deployment on AWS. Container orchestration and management for a reliable infrastructure setup.

We started by assessing the monitoring needs and chose Prometheus to collect and store metrics. We installed the EBS CSI Driver and defined a Storage Class for gp2 volumes. Then, we created PVCs to request gp2 storage, with which the EBS CSI Driver dynamically provisions volumes to Prometheus. The platform was deployed on AWS EKS using Helm. Next, we integrated Grafana for clear visualizations, making system health and performance data more accessible. Finally, we optimized the setup to ensure efficient resource usage and seamless integration with the existing infrastructure.