Differences

This shows you the differences between two versions of the page.

--- lab:stack_of_nucs:ansible_playbook_-_install_haproxy [2024/02/13 03:33] – [Step 3 - Install HAProxy] user
+++ lab:stack_of_nucs:ansible_playbook_-_install_haproxy [2024/05/06 02:11] (current) – removed user
@@ Line 1: / Line 1: @@
-====== Install HAProxy ======
-In our previous step we [[demonstrate_app_on_k8s|deployed a web app]] to Kubernetes on our [[start|Stack of NUCs]].
-Now we are going to install HAProxy.
-Purpose:
-  * Demonstrate a using HAProxy in front of a web application on Kubernetes
-References
-  * [[https://28gauravkhore.medium.com/how-to-configure-the-haproxy-using-the-ansible-and-also-how-to-configure-haproxy-dynamically-f18a55de3a66]]
-====== Step 1 - Connect to the Ansible control node ======
-From [[NUC 1]], log in to the Ansible control node, [[NUC 2]].
-====== Step 2 - Set Up a Folder for Configuration and Playbooks ======
-  - Create folder ''/home/ansible/my-project/haproxy'' and change directory to it
-  - Copy the ''hosts'' file we created early in the lab
-    * ''cp /home/ansible/my-project/hosts /home/ansible/my-project/haproxy/''
-  - Create the file ''/home/ansible/my-project/haproxy/ansible.cfg''
-    * <file yaml ansible.cfg>
-[defaults]
-inventory         = hosts
-</file>
-  - Create the file ''/home/ansible/my-project/haproxy/haproxy.cfg.j2''
-    * <file yaml haproxy.cfg.j2>
-# ------------------------
-# main frontend which proxys to the backends
-# ------------------------
-frontend main
-    bind *:8080
-    acl url_static  path_beg    -i /static /images /javascript /stylesheets
-    acl url_static  path_end    -i .jpg .gif .png .css .js
-    use_backend static  if url_static
-    default_backend app
-# ------------------------
-# static backend for serving up images, stylesheets and such
-# ------------------------
-backend static
-    balance roundrobin
-    server  static 127.0.0.1:4331 check
-# ------------------------
-# round robin balancing between the various backends
-# ------------------------
-backend app
-    balance roundrobin
-{% for ip in groups['nodes'] %}
-    server app{{ loop.index}} {{ ip }}:80 check
-{% endfor %}
-</file>
-====== Step 3 - Install HAProxy ======
-<file yaml haproxy-install.yml>
----
-- hosts: workers
-  become: true
-  tasks:
-    - name: Install haproxy
-      package:
-        name: haproxy
-        state: present
-    - name: Configure haproxy.cfg file
-      template:
-        src: "/home/ansible/my-project/haproxy/haproxy.cfg.j2"
-        dest: "/etc/haproxy/haproxy.cfg"
-    - name: "haproxy service start"
-      service:
-        name: haproxy
-        state: restarted
-</file>
-<code>ansible-playbook haproxy-install.yml --ask-become</code>
-====== Step 4 - Test HAProxy ======
-  - Point your browser to ''http://IPANYK8WORKER:8080/''
-  - Let's prove that any of the nodes will serve the app from any pod on any host
-    * Change directory to ''/home/ansible/my-project/k8s''
-    * Edit ''speedtester-deployment.yml'' and change the number of replicas to 1
-    * ''kubectl apply -f speedtester-deployment.yml''
-    * Use ''kubectl get pods'' to watch the pods terminated until 1 is left running
-    * Point your browser to any of the k8s working IPs on port 8080 and note the app is still up
-    * Set the replicas back to equal the number of worker nodes and apply the file again
-====== Next Step ======
-You have complete this Lab! What did you think of it? What suggestions do you have for improvement? Let [[mailto:emailunclenuc@gmail.com|UncleNUC]] know!
-====== Optional ======
-A possible future lab could be written to install a ML model on a Kubernetes cluster so it can be applied to incoming data.
-References:
-  * [[https://www.analyticsvidhya.com/blog/2022/01/deploying-ml-models-using-kubernetes/]]
-  * [[https://www.seldon.io/deploying-machine-learning-models-on-kubernetes]]