prometheus for runtime clusters

These scripts deploy a Prometheus Operator installation (Prometheus, Alertmanager, Grafana) that's pre-configured for Codefresh runtime clusters. It includes alerts and dashboards for monitoring the runtime cluster, as well as configures exporters and cron jobs. What's included:

• Prometheus Operator
• cluster-autoscaler-exporter
• dind-volume-cleanup, dind-monitor, dind-exporter and event-exporter (custom parts with source code not provided)

We create a monitoring namespace and put all the things there.

Required

• kubectl
• helm
• helmfile

Configuration

If you want Slack or VictorOps notifications write a file: values.yaml.

It may specify:

• slack_hook: URL to Slack hook
• slack_warnings: channel name for warnings, full name like #ops-warnings
• slack_errors: channel name for errors, full name like #ops-errors
• victorops_api_key: API key to VictorOps
• victorops_routing: VictorOps routing policy name
• affinity: string to set up monitoring affinity/tolerations (see template for more details)
• prom_ram: Prometheus memory requests and limits, defaults to 6Gi for a 8GB instance
  use 14Gi if using a 16GB instance; use 24Gi if using a 32GB instance
• prom_cpu: Prometheus CPU requests (defaults to 1, you may want to increase it)
  Prometheus CPU limits are twice this value
• coredns: true set this if using CoreDNS, not Kube-DNS

Please note that if you set slack_hook, you're reqiuired to set both slack_warnings and slack_errors.
If you set victorops_api_key, victorops_routing is also required.

Usage

• switch your k8s context to needed
• helmfile [-e local] sync to install or update your installation
• helmfile destroy to remove the deployment

use -e local if you have values.yaml, if you don't, just omit this part.

Access services

prometheus

kubectl -n monitoring port-forward svc/cprom-prometheus-operator-prometheus 9090

alertmanager

kubectl -n monitoring port-forward svc/cprom-prometheus-operator-alertmanager 9093

grafana

kubectl -n monitoring port-forward svc/cprom-grafana 3000:80