I really wanted to scale down my experiments cost on Amazon Web Services (AWS). The two of the critical steps I took is to get all my observability in-place and opt-in for reserved instance for the instance family I often use. I properly setup the node exporter to expose all the systemd and processes metrics including filesystem, network traffic and system load metrics. And find a comprehensive and detailed Grafana Labs Grafana dashboard to graph the right metrics. I really love this dashboard a lot it gives me a quick summary of all I need and detailed graphs below. #cloudengineering #cloudcomputing #cloudnative #kubernetes #observability
Maybe you need another table next to it that calculates the costs straight away based on the usage rate?
Thanks for sharing this! It means so much to us that we can help you get all the information you need to keep your costs down. 🧡
Software Engineer | Cloud DevOps Engineer | Site Reliability Engineer
1yWow, sincerely I like this dashboard, is there a guide/resource that I can use to have a similar setup? I use kube-prometheus-stack for monitoring. I really appreciate the help in advance.