Cardinality refers to the number of unique elements in a set or the number of distinct values in a data set. In the context of metrics and time-series data, cardinality refers to the number of unique combinations of metric name, label name, and label value that are present in a
k8s_terraform_metrics/templates/k8s_provider.tf at main · ashwiniag/k8s_terraform_metricsTerraform + K8s + Vicoriametrics + Kube-state-metrics + Prometheus operator - ashwiniag/k8s_terraform_metricsGitHubashwiniag
Simple setup to monitor my machine using node_exporter: Exposes my machine metrics at http://localhost:9100/metrics vmagent: Scrapes the metrics exposed at /metrics at defined interval and sends it to victoriametrics victoriametrics: It is a single node set up, a tsdb storage. grafana: Visual representation of metrics used
k8s_terraform_metrics/templates/ssm.tf at main · ashwiniag/k8s_terraform_metricsTerraform + K8s + Vicoriametrics + Kube-state-metrics + Prometheus operator - ashwiniag/k8s_terraform_metricsGitHubashwiniag
Most basic setup to have when working with terraform is - Where to store terraform statefile and avoid all hassles! Some issues you run into: * Access to tfstate: Needs access to same terraform statefile across the team to work with infra setup. Hence, statefiles are to be storedin shared location.
item=30 total=70 percent=$(awk "BEGIN { pc=100*${item}/${total}; i=int(pc); print (pc-i<0.5)?i:i+1 }") echo $percent 43 --- used = 30 total = 70 percentage=$(awk "BEGIN { pc=100*${used}/${total}; i=int(pc); print (pc-i<0.5)?i:i+
dumps from long thread Hey, I'm seeing a few fargate tasks going from pending --> running --> stopped during rolling-update. Any idea why this'd happen? Ashwini 10 days ago I'm assuming it enters running state after all the criteria like ALB health
Knowledge can only be enhanced and is thoroughly understood when it is put in practice. Did you know everything in Linux is a file? Yes, including network connections, processes, everything! How does it all work? Navigating Linux directory structure helps understand what makes it so flexible and easier to access,
Goal: Setup SSO for atlassian bitbucket using crowd while fedarating users from external IdP. And end to end SSL termination. Let's break down the setup: 1. Integrate Crowd with Redhat SSO ( external IdP in my case ) 2. Integarte Crowd and bitbucket Crowd SSO provides authentication for all atlassian
Generally I like to maintain binaries. It could be downloaded or custom etc. Here is what I do * Actions mkdir ~/my_bin echo "export PATH=\$PATH:~/my_bin" >> ~/.bashrc source ~/.bashrc Note: It last till the terminal session when you execute "export PATH=$PATH:<
Adds ssh key to aws secrets manager using terraformAdds ssh key to aws secrets manager using terraform - main.tfGist262588213843476
We all do have our doubts about our capabilities... Being on slippery ground I realized two things - having a mentor is important and equally important is selling yourself to people out there and determining your worth. In the beginning it won't be easy and there are so