Add more questions

scenarios/ansible_minikube_docker.md

@@ -0,0 +1,6 @@
+## Ansible, Minikube and Docker
+
+* Write a simple program in any language you want that outputs "I'm on <HOSTNAME>"
+* Write a Dockerfile which will run your app
+* Create the YAML files required for deploying the pods
+* Write and run an Ansible playbook which will install Docker, Minikube and kubectl and then create a deployment in minikube with your app running.

scenarios/elk_kibana_aws.md

@@ -15,3 +15,7 @@ Please describe in detail:
 - How you apply security policy for access control
 - How you transfer the logs from the app to ELK
 - How you deal with multi apps running in different regions
+
+## Solution
+
+One Possible solution can be found [here](solutions/elk_kibana_aws.md)

scenarios/solutions/elk_kibana_aws.md

@@ -0,0 +1,22 @@
+# Elasticsearch, Kibana and AWS - Solution
+
+This one out of many possible solutions. This solution is relying heavily on AWS.
+
+* Create a VPC with subnet so we can place Elasticsearch node(s) in internal environment only.
+  If required, we will also setup NAT for public access. 
+
+* Create an IAM role for the access to the cluster. Also, create a separate role for admin access.
+
+* To provision the solution quickly, we will use the elasticsearch service directly from AWS for production deployment.
+  This way we also cover multiple AZs. As for authentication, we either use Amazon cognito or the organization LDAP server.
+
+* To transfer data, we will have to install logstash agent on the instances. The agent will be responsible
+  for pushing the data to elasticsearch.
+
+* For monitoring we will use:
+
+    * Cloud watch to monitor cluster resource utilization
+    * Cloud metrics dashboard
+
+* If access required from multiple regions we will transfer all the data to S3 which will allow us to view the data
+  from different regions and consolidate it in one dashboard