Base services collection for production ready Kubernetes cluster.
This collection based on know enterprise wide services, already used by many companies. Bootstrap contain base GitOps setup and examples for add new applications.
Goal of this bootstrap define vendor free bootstrap, which can be started in any type of cluster, not depend on cloud provider.
But if it not problem for you, you can use Bitnami Kubernetes Production Runtime. BKPR alredy accessable for GKE, AKS, and Amazon EKS.
You can fork this project for define your own infrsutructure bootstrap. Any PRs are allways welcome.
Advice: Don't mix infrustructure and business services, this setup only define infrsutructure, for define business services better use GitOps soltuions, like ArgoCD, which already build it in this bootstrap.
Current setup contains:
- Kubernetes Dashboard - General-purpose web UI for Kubernetes clusters
- Cert-Manager - Automatically provision and manage TLS certificates in Kubernetes
- kube-prometheus-stack - kube-prometheus-stack collects Kubernetes manifests, Grafana dashboards, and Prometheus rules combined with documentation and scripts to provide easy to operate end-to-end Kubernetes cluster monitoring with Prometheus using the Prometheus Operator.
- loki-stack - Loki: like Prometheus, but for logs
- tempo-distributed - Grafana Tempo in MicroService mode
- argo-cd - Declarative continuous deployment for Kubernetes, GitOps implementation.
Create kubernetes cluster version and configure kubectl for connect to it.
Install CLIs:
- Helm - The package manager for Kubernetes.
- Helm Diff - A helm plugin that shows a diff explaining what a helm upgrade would change
- Hemlile - One file for manage multiple heml charts.
- GNU Make - install by
sudo apt-get install build-essential
helmfile
uses enviroment variables for set parametors of charts.
Makefile
automatically setup values from .env
file.
- Copy
.env.example
and name it as.env
- Change variables in
.env
as you want. - Run
make setup
- will upload all services without check on changes.
For setup basic infrustructure run
# Will deploy new or changed charts first time
make setup
For update only changed charts run
make sync
For use https you need setup sertificates, you can do it by next commands
# Will be used by lets encrypt for send emails about certificate updates
export [email protected]
# Will create issuers (certificate providers)
make certificate-issuers
if make sync
were made first time in cluster wait some time before setup certificates,
k8s need time for load certificate manager operator
More about ceertificate configuration and tutorial for lets encrypt
IMPORTANT: If you not setup sertificates or setup them incorrectly, Ingresses will fallback to self-signed sertificates.
For start local cluster and synchronise, just run
make local
It will run next commands, but you can run them by self:
# Start minikube server
minikube start
# Enable minikkube ingress before sync
make minikube-ingress # or minikube addons enable ingress
# for synchromise cluster
make setup # or helmfile sync
Get external ip, for access your cluster outside
make minikube-ip
And add to /etc/hosts
file next line
# For access local cubernetes cluster
<your-external-ip> argo.k8s.local dashboard.k8s.local prometheus.k8s.local thanos-gateway.k8s.local grafana.k8s.local alertmanager.k8s.local k8s.local
For access kubernets dashboard you need firstly get token:
# list existing secrets
kubectl -n kubernetes-dashboard get secrets
# pass correct name of secret
kubectl -n kubernetes-dashboard describe secret kubernetes-dashboard-token-<some-id>
# copy token
Then you can open page and pass token
open https://dashboard.k8s.local and pass copied token
create local proxy
kubectl proxy
open http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:https/proxy/ and pass copied token
In general this is self containing solution, which must just work out of the box.
For metrics collection used Prometheus. For togs collection Promtail and Loki. For traing collection used Tempo. For dashboard used Grafana.
In future release I would like to migrate all what possible to cloud IaaS solutions.
You can find comparisions from Grafana guys there. In simple words, Loki + Prometheus + Tempo + Grafana is simpler to setup then ELK, but it have some limitations. I actually love Kibana, and have plans to add it.
I love OpenTelemetry idea of vendor agnostic fully containing stack, but it not ready for most of languages (in alpha or beta stages) right now. I would like to swith to OpenTelemetry when it will be ready for production.
Acording to their roadmap I've expecting to add OpenTelemetry in 2022, when they will add logs component support.
You can open Grafana at grafana.k8s.local
for login as admiin use username admin
and password prom-operator
Change password in helfile.yaml
in kube-prometheus-stack
grafana section.
Open explore tab in Grafana, abd swith Prometheus to Loki. On log browser you can see posible valuues to search.
Open explore tab in Grafana, abd swith Prometheus to Tempo.
If Tempo not connected probably you need enable Tempo.
Open Configuration.DataSourses page in Grafana -> click Add data sourses -> click Tempo ->
fill URL with http://tempo-tempo-distributed-query-frontend:3100
and set Trace to Logs section with Data Source Loki
Get password to admin account
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d && echo
# copy password
open https://argo.k8s.local and use admin
as username
You can easily [create application through:
- UI application
- CLI.
- Declarative setup, which used in this repo.
For deploy applications from applications
folder just run.
make apps # Will deploy application configurations
For add new applications just add new yaml
in applications
folder, like example application.
You also can use this foler for setup Project, or repository, or app of apps.
You can access already deployed application thourgh port-forwarding, just run:
kubectl port-forward service/frontend :80
# will choose local port and proxy it to service with name frontend (example application)
and you can open page localy as http://localhost:<allocated-port>