Promdash integration, minor changes to marcin's prometheus pods and v1beta3 implementation, and cold-start specification for prometheus+promdash deployment, and move to contrib.
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# Prometheus in Kubernetes
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This is an experimental [Prometheus](http://prometheus.io/) setup for monitoring
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Kubernetes services that expose prometheus-friendly metrics through address
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http://service_address:service_port/metrics.
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The purpose of the setup is to gather performance-related metrics during load
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tests and analyze them to find and fix bottlenecks.
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The list of services to be monitored is passed as a command line aguments in
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the yaml file. The startup scripts assumes that each service T will have
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2 environment variables set ```T_SERVICE_HOST``` and ```T_SERVICE_PORT``` which
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can be configured manually in yaml file if you want to monitor something
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that is not a regular Kubernetes service. For regular Kubernetes services
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the env variables are set up automatically.
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By default the metrics are written to a temporary location (that can be changed
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in the the volumes section of the yaml file). Prometheus' UI is available
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at port 9090.
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apiVersion: v1beta1
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kind: Pod
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id: kube-prometheus
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desiredState:
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manifest:
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version: v1beta1
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containers:
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- name: kube-prometheus
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image: kube/prometheus
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command:
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- -t
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- KUBERNETES_RO
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- -d
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- /var/prometheus/
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ports:
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- containerPort: 9090
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hostPort: 9090
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volumeMounts:
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- name: data
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mountPath: /var/prometheus/
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volumes:
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- name: data
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source:
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emptyDir:
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labels:
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name: kube-prometheus
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71
contrib/prometheus/README.md
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71
contrib/prometheus/README.md
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# Prometheus in Kubernetes
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This is an experimental [Prometheus](http://prometheus.io/) setup for monitoring
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Kubernetes services that expose prometheus-friendly metrics through address
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http://service_address:service_port/metrics.
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# Purpose
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The purpose of the setup is to gather performance-related metrics during load
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tests and analyze them to find and fix bottlenecks.
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# Quick start
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## Promdash/Prometheus
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1. Pick a local directory for promdash. It can be any directory, preferably one which is stable and which you don't mind keeping around. Then (in our case, we use */mnt/promdash*, just run this docker command `docker run -v /mnt/promdash:/mnt/promdash -e DATABASE_URL=sqlite3:/mnt/promdash/file.sqlite3 prom/promdash ./bin/rake db:migrate`. In the future, we might use mysql as the promdash database, however, in any case, this 1 time db setup step is required.
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Now quickly confirm that /mnt/promdash/file.sqlite3 exists, and has a non-zero size, and make sure its permissions are open so that containers can read from it. For example:
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```
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[jay@rhbd kubernetes]$ ls -altrh /mnt/promdash/
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total 20K
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drwxr-xr-x. 6 root root 4.0K May 6 23:12 ..
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-rwxrwxrwx 1 root root 12K May 6 23:33 file.sqlite3
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```
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Looks open enough :).
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1. Now, you can start this pod, like so `kubectl create -f cluster/add-ons/prometheus/prometheusB3.yaml`. This pod will start both prometheus, the server, as well as promdash, the visualization tool. You can then configure promdash, and next time you restart the pod - you're configuration will be remain (since the promdash directory was mounted as a local docker volume).
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1. Finally, you can simply access localhost:3000, which will have promdash running. Then, add the prometheus server (locahost:9090)to as a promdash server, and create a dashboard according to the promdash directions.
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## Prometheus
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You can launch prometheus easily, by simply running.
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`kubectl create -f cluster/addons/prometheus/prometheus.yaml`
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This will bind to port 9090 locally. You can see the prometheus database at that URL.
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# How it works
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This is a v1beta1 based, containerized prometheus pod, which scrapes endpoints which are readable on the KUBERNETES_RO service (the internal kubernetes service running in the default namespace, which is visible to all pods).
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1. The KUBERNETES_RO service is already running : providing read access to the API metrics.
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1. The list of services to be monitored is passed as a command line aguments in
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the yaml file.
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1. The startup scripts assumes that each service T will have
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2 environment variables set ```T_SERVICE_HOST``` and ```T_SERVICE_PORT```
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1. Each can be configured manually in yaml file if you want to monitor something
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that is not a regular Kubernetes service. For example, you can add comma delimted
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endpoints which can be scraped like so...
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```
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- -t
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- KUBERNETES_RO,MY_OTHER_METRIC_SERVICE
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```
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# Other notes
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For regular Kubernetes services the env variables are set up automatically and injected at runtime.
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By default the metrics are written to a temporary location (that can be changed
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in the the volumes section of the yaml file). Prometheus' UI is available
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at port 9090.
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# TODO
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- We should publish this image into the kube/ namespace.
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- Possibly use postgre or mysql as a promdash database.
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- push gateway (https://github.com/prometheus/pushgateway) setup.
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- Setup high availability via NFS
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83
contrib/prometheus/prometheusB3.yaml
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83
contrib/prometheus/prometheusB3.yaml
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apiVersion: v1beta3
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kind: Pod
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metadata:
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creationTimestamp: null
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labels:
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name: kube-prometheus
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name: kube-prometheus
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spec:
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containers:
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- capabilities: {}
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env:
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- name: DATABASE_URL
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value: sqlite3:/promdash/file.sqlite3 #see volume comment below.
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image: prom/promdash
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imagePullPolicy: IfNotPresent
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name: kube-promdash
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ports:
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- containerPort: 3000
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hostPort: 3000
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protocol: TCP
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resources: {}
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securityContext:
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capabilities: {}
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privileged: false
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terminationMessagePath: /dev/termination-log
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volumeMounts:
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- mountPath: /promdash
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name: promdashdb
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- args:
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- -t
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- KUBERNETES_RO
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- -d
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- /var/prometheus/
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capabilities: {}
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image: jayunit100/kube-prometheus
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imagePullPolicy: IfNotPresent
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name: kube-prometheus
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ports:
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- containerPort: 9090
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hostPort: 9090
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protocol: TCP
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resources: {}
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securityContext:
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capabilities: {}
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privileged: false
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terminationMessagePath: /dev/termination-log
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volumeMounts:
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- mountPath: /var/prometheus/
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name: data
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dnsPolicy: ClusterFirst
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restartPolicy: Always
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volumes:
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# There are many ways to create these volumes.
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# for example, gcePersistentDisk:, glusterfs:, and so on...
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# for the shared data volume (which we may not need going forward)
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# we just use the undefined shared volume type.
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- awsElasticBlockStore: null
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emptyDir:
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medium: ""
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gcePersistentDisk: null
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gitRepo: null
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glusterfs: null
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hostPath: null
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iscsi: null
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name: data
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nfs: null
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secret: null
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# Again, many ways to create the promdash mount. We are just using local
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# disk for now. Later maybe just replace with pure RDBMS rather than file
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# based sqlite db. The reason we have a volume is so that its persistent between
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# pod restarts.
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- awsElasticBlockStore: null
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emptyDir: null
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gcePersistentDisk: null
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gitRepo: null
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glusterfs: null
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hostPath:
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path: /mnt/promdash
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iscsi: null
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name: promdashdb
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nfs: null
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secret: null
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status: {}
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#!/bin/sh
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# Copyright 2014 Google Inc. All rights reserved.
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#!/bin/bash
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# Copyright 2014 The Kubernetes Authors All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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@ -26,12 +27,15 @@ show_usage() {
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echo "where"
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echo " -t List of services to be monitored. Each service T should be described by"
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echo " the T_SERVICE_HOST and T_SERVICE_PORT env variables."
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echo " -d Location where the config file and metrics will be written."
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echo "-d Prometheus' root directory (i.e. where config file/metrics data will be stored)."
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}
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build_config() {
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echo >$1 'global: { scrape_interval: "10s" evaluation_interval: "10s"}'
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local target
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### Allow prometheus to scrape multiple targets
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### i.e. -t KUBERNETES_RO,MY_METRICS_ABC
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for target in ${2//,/ }; do
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local host_variable=$target"_SERVICE_HOST"
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local port_variable=$target"_SERVICE_PORT"
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@ -73,6 +77,8 @@ if [ -z $targets ] || [ -z $location ]; then
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exit 2
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fi
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echo "------------------"
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echo "Using $location as the root for prometheus configs and data."
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mkdir -p $location
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config="$location/config.pb"
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storage="$location/storage"
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