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System Management
Kubernetes
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.
The Prometheus-based monitoring solution greatly improved infrastructure reliability and performance. It automated the collection and visualization of metrics, reducing manual effort and enhancing our ability to quickly identify and resolve issues.
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.
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