| #!/bin/bash -e | |
| BACKUP_DIR="/var/tmp/k8sbackup/$(date +%s)" | |
| echo "Backing up cluster to ${BACKUP_DIR}" | |
| NAMESPACES=$(kubectl get ns -o jsonpath={.items[*].metadata.name}) | |
| RESOURCETYPES="${RESOURCETYPES:-"ingress deployment configmap secret svc rc ds networkpolicy statefulset cronjob pvc"}" | |
| GLOBALRESOURCES="${GLOBALRESOURCES:-"namespace storageclass clusterrole clusterrolebinding customresourcedefinition"}" | |
| mkdir -p ${BACKUP_DIR} |
| { | |
| "annotations": { | |
| "list": [] | |
| }, | |
| "description": "Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.", | |
| "editable": true, | |
| "gnetId": 315, | |
| "graphTooltip": 0, | |
| "hideControls": false, | |
| "id": 2, |
This document will allow anyone to verify the benchmark result of writing 2 - 3 million metrics per second into DalmatinerDB. This is a single node benchmark to keep things simple and easily comparable between time series databases that don't support clustering.
We will setup 2 Haggar servers to generate metrics and fire them at a single node DalmatinerDB server as per this diagram.
You can expect near linear performance results as a DalmatinerDB cluster is horizontally scaled.
| # Prometheus configuration to scrape Kubernetes outside the cluster | |
| # Change master_ip and api_password to match your master server address and admin password | |
| global: | |
| scrape_interval: 15s | |
| evaluation_interval: 15s | |
| scrape_configs: | |
| # metrics for the prometheus server | |
| - job_name: 'prometheus' |
Databases are a crazy topic and it seems everyone has an opinion. The trouble is that opinions are like belly buttons. Just because everyone has one it doesn’t mean they are useful for anything.
Time series databases (TSDB’s) in particular always provoke the usual “have you tried X”, where X is some obscure project with 50 commits back in 2009. Invariably, if X is something a bit more mainstream then yes, it probably has been played with. It’s probably good at certain things and bad at others like all software.
With all of the above in mind I decided to pen a magnum opus of my own opinions. Something I can point the HaveYouTriedX’ers at next time they make an appearance. So here it is..
My Top10 TSDB’s:
