Goldpinger makes calls between its instances to monitor your networking.
It runs as a DaemonSet
on Kubernetes
and produces Prometheus
metrics that can be scraped, visualised and alerted on.
Oh, and it gives you the graph below for your cluster. Check out the video explainer.
We built Goldpinger to troubleshoot, visualise and alert on our networking layer while adopting Kubernetes
at Bloomberg. It has since become the go-to tool to see connectivity and slowness issues.
It's small (~16MB), simple and you'll wonder why you hadn't had it before.
If you'd like to know more, you can watch our presentation at Kubecon 2018 Seattle.
Getting from sources:
go get github.com/bloomberg/goldpinger/cmd/goldpinger
goldpinger --help
Getting from docker hub:
# get from docker hub
docker pull bloomberg/goldpinger:v3.0.0
The repo comes with two ways of building a docker
image: compiling locally, and compiling using a multi-stage Dockerfile
image. docker
setup, you might need to prepend the commands below with sudo
.
You will need docker
version 17.05+ installed to support multi-stage builds.
# step 1: launch the build
make build-multistage
# step 2: push the image somewhere
namespace="docker.io/myhandle/" make tag
namespace="docker.io/myhandle/" make push
This was contributed via @michiel - kudos !
In order to build Goldpinger
, you are going to need go
version 1.13+ and docker
.
Building from source code consists of compiling the binary and building a Docker image:
# step 0: check out the code
git clone https://github.com/bloomberg/goldpinger.git
cd goldpinger
# step 1: compile the binary for the desired architecture
make bin/goldpinger
# at this stage you should be able to run the binary
./bin/goldpinger --help
# step 2: build the docker image containing the binary
make build
# step 3: push the image somewhere
namespace="docker.io/myhandle/" make tag
namespace="docker.io/myhandle/" make push
Goldpinger
works by asking Kubernetes
for pods with particular labels (app=goldpinger
). While you can deploy Goldpinger
in a variety of ways, it works very nicely as a DaemonSet
out of the box.
Goldpinger
supports using a kubeconfig
(specify with --kubeconfig-path
) or service accounts.
Here's an example of what you can do (using the in-cluster authentication to Kubernetes
apiserver).
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: goldpinger-serviceaccount
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: goldpinger
namespace: default
labels:
app: goldpinger
spec:
updateStrategy:
type: RollingUpdate
selector:
matchLabels:
app: goldpinger
template:
metadata:
annotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
labels:
app: goldpinger
spec:
serviceAccount: goldpinger-serviceaccount
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
securityContext:
runAsNonRoot: true
runAsUser: 1000
fsGroup: 2000
containers:
- name: goldpinger
env:
- name: HOST
value: "0.0.0.0"
- name: PORT
value: "8080"
# injecting real hostname will make for easier to understand graphs/metrics
- name: HOSTNAME
valueFrom:
fieldRef:
fieldPath: spec.nodeName
# podIP is used to select a randomized subset of nodes to ping.
- name: POD_IP
valueFrom:
fieldRef:
fieldPath: status.podIP
image: "docker.io/bloomberg/goldpinger:v3.0.0"
imagePullPolicy: Always
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
resources:
limits:
memory: 80Mi
requests:
cpu: 1m
memory: 40Mi
ports:
- containerPort: 8080
name: http
readinessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 20
periodSeconds: 5
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 20
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: goldpinger
namespace: default
labels:
app: goldpinger
spec:
type: NodePort
ports:
- port: 8080
nodePort: 30080
name: http
selector:
app: goldpinger
Note, that you will also need to add an RBAC rule to allow Goldpinger
to list other pods. If you're just playing around, you can consider a view-all default rule:
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: default
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: view
subjects:
- kind: ServiceAccount
name: goldpinger-serviceaccount
namespace: default
You can also see an example of using kubeconfig
in the ./extras
.
If your pods having IPv4 and IPv6 addresses assigned and you want to test communication over IPv6, you can specify the USE_IPV6
environment variable which will use the IPv6 address on the pod and host.
Note, that on top of resolving the other pods, all instances can also try to resolve arbitrary DNS. This allows you to test your DNS setup.
From --help
:
--host-to-resolve= A host to attempt dns resolve on (space delimited) [$HOSTS_TO_RESOLVE]
So in order to test two domains, we could add an extra env var to the example above:
- name: HOSTS_TO_RESOLVE
value: "www.bloomberg.com one.two.three"
and goldpinger
should show something like this:
In addition to pinging IPs, you can use HOSTS_TO_PING
(similar to HOSTS_TO_RESOLVE
) that will ping arbitrary host names in addition to IPs
- name: HOSTS_TO_PING
value: "www.bloomberg.com one.two.three"
Once you have it running, you can hit any of the nodes (port 30080 in the example above) and see the UI.
You can click on various nodes to gray out the clutter and see more information.
The API exposed is via a well-defined Swagger
spec.
The spec is used to generate both the server and the client of Goldpinger
. If you make changes, you can re-generate them using go-swagger via make swagger
Once running, Goldpinger
exposes Prometheus
metrics at /metrics
. All the metrics are prefixed with goldpinger_
for easy identification.
You can see the metrics by doing a curl http://$POD_ID:80/metrics
.
These are probably the droids you are looking for:
goldpinger_peers_response_time_s_*
goldpinger_peers_response_time_s_*
goldpinger_nodes_health_total
goldpinger_stats_total
goldpinger_errors_total
You can find an example of a Grafana
dashboard that shows what's going on in your cluster in extras. This should get you started, and once you're on the roll, why not ❤️ contribute some kickass dashboards for others to use ?
Once you've gotten your metrics into Prometheus
, you have all you need to set useful alerts.
To get you started, here's a rule that will trigger an alert if there are any nodes reported as unhealthy by any instance of Goldpinger
.
alert: goldpinger_nodes_unhealthy
expr: sum(goldpinger_nodes_health_total{status="unhealthy"})
BY (instance, goldpinger_instance) > 0
for: 5m
annotations:
description: |
Goldpinger instance {{ $labels.goldpinger_instance }} has been reporting unhealthy nodes for at least 5 minutes.
summary: Instance {{ $labels.instance }} down
Similarly, why not ❤️ contribute some amazing alerts for others to use ?
Goldpinger also makes for a pretty good monitoring tool in when practicing Chaos Engineering. Check out PowerfulSeal, if you'd like to do some Chaos Engineering for Kubernetes.
Goldpinger was created by Mikolaj Pawlikowski and ported to Go by Chris Green.
We ❤️ contributions.
Have you had a good experience with Goldpinger
? Why not share some love and contribute code, dashboards and alerts ?
If you're thinking of making some code changes, please be aware that most of the code is auto-generated from the Swagger
spec. The spec is used to generate both the server and the client of Goldpinger
. If you make changes, you can re-generate them using go-swagger via make swagger
.
Before you create that PR, please make sure you read CONTRIBUTING and DCO.
Please read the LICENSE file here.
For each version built by travis, there is also an additional version, appended with -vendor
, which contains all source code of the dependencies used in goldpinger
.