├── limits.yaml
├── Readme.md
├── RevisionTopics
    ├── Part-3-Multi-Container-Pods.md
    ├── Part-6-Services-And-Networking.md
    ├── Part-5-Pod-Design.md
    ├── Part-4-Observability.md
    ├── Part-1-Core-Concepts.md
    ├── Part-2-Configuration.md
    └── Images
    │   ├── Multi.svg
    │   └── pods.svg
└── LICENSE


/limits.yaml:
--------------------------------------------------------------------------------
 1 | apiVersion: v1
 2 | kind: Pod
 3 | metadata:
 4 |   labels:
 5 |     run: nginx
 6 |   name: nginx-limits
 7 | spec:
 8 |   containers:
 9 |   - image: nginx
10 |     name: nginx
11 |     resources:
12 |       limits:
13 |         cpu: 1
14 |         memory: "200Mi"
15 |       requests:
16 |         cpu: 0.5
17 |         memory: "100Mi"
18 | 


--------------------------------------------------------------------------------
/Readme.md:
--------------------------------------------------------------------------------
 1 | # CKA-Study Guide
 2 | The following guide is based on the Certified Kubernetes Application Developer Curriculum 1.17 and consists of the following sections:
 3 | 
 4 | ### [Revision Topics](https://github.com/David-VTUK/CKAD-StudyGuide/tree/master/RevisionTopics)
 5 | 
 6 | Notes from revising the topics listed in the curriculum, grouped to correlate to the various sections listed in the curriculum.
 7 | 
 8 | ### [Lab Guide](https://github.com/David-VTUK/CKAD-StudyGuide/tree/master/LabGuide)
 9 | 
10 | To complement the revision topics, these lab guides are designed to exercise the topics learnt from the corresponding revision topics sections.
11 | 
12 | ### [Lab Guide - Answers](https://github.com/David-VTUK/CKAD-StudyGuide/tree/master/LabGuideAnswers)
13 | 
14 | These list potential solutions to the tasks listed in the respective lab exercises. **Note:** these provide **one** way of approaching the exercises. There are a number of ways to achieve the same goal.
15 | 
16 | 
17 | ### Lab Environments
18 | 
19 | https://kubernetes.io/docs/setup/learning-environment/minikube/
20 | 
21 | ### Contact
22 | 
23 | Twitter = @VT_UK
24 | 


--------------------------------------------------------------------------------
/RevisionTopics/Part-3-Multi-Container-Pods.md:
--------------------------------------------------------------------------------
 1 | # Understand Multi-Container Pod design patterns
 2 | 
 3 | Part 1 documents how Pod manifests can be configured to include multiple containers and also share volumes between them, but as part of a Pod design, identifying **when** to leverage multi container pods.
 4 | 
 5 | # How Multi-Container Pods communicate
 6 | 
 7 | Pods share a virtual network adapter in order for the containers within to communicate with anything outside the Pod boundary. Additionally, containers within a Pod can communicate over `localhost`.
 8 | 
 9 | ![Multi Pod ](./Images/Multi.svg)
10 | 
11 | Sharing storage between containers in a Pod is covered in part 1.
12 | 
13 | # Deciding between single or multi container Pods
14 | 
15 | Deciding when or when not to use multi container Pods essentially boils down determining how **tightly coupled** the workloads are.
16 | 
17 | # Sidecar
18 | 
19 | Typically used as a "helper" container for the "main" container. Ie:
20 | 
21 | * File sync services/watchers
22 | * Logging agents
23 | * Traffic manipulation (ie Service Mesh)
24 | 
25 | By offloading these responsibilities to a sidecar container, it keeps the "main" container lean.
26 | 
27 | # Ambassador
28 | 
29 | Ambassador containers, unlike its Sidecar counterpart, are usually in the data path and proxies connections to external services and is typically used for :
30 | 
31 | * Proxying connections to different environments (ie prod/test/dev) based on Pod spec/configuration
32 | 
33 | # Adapter 
34 | 
35 | Adaptor containers typically manipulate / transform output of the main container as required. For example:
36 | 
37 | * Transforms output generated by the main container to fit a certain standard. For example, as dictated by a monitoring/logging system.
38 | 
39 | 


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/RevisionTopics/Part-6-Services-And-Networking.md:
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  1 | # Understand Services
  2 | 
  3 | Pods are ephemeral. Therefore placing these behind a service which provides a stable, static entrypoint is a fundamental use of the kubernetes service object. To reiterate, services take the form of the following:
  4 | 
  5 | * ClusterIP - Internal only
  6 | * LoadBalancer - External, requires cloud provider to provide one
  7 | * NodePort - External, requires access the nodes directly
  8 | * Ingress resource - L7 An Ingress can be configured to give services externally-reachable URLs, load balance traffic, terminate SSL, and offer name based virtual hosting. An Ingress controller is responsible for fulfilling the Ingress, usually with a loadbalancer, though it may also configure your edge router or additional frontends to help handle the traffic.
  9 | 
 10 | An example of deploying a Load Balancer:
 11 | ```
 12 | apiVersion: v1
 13 | kind: Service
 14 | metadata:
 15 |   name: my-nginx
 16 |   labels:
 17 | 	run: my-nginx
 18 | spec:
 19 |   type: LoadBalancer
 20 |   ports:
 21 |   - port: 80
 22 | 	protocol: TCP
 23 | 	name: http
 24 | 	targetPort: 80
 25 |   selector:
 26 | 	run: my-nginx
 27 | ```
 28 | 
 29 | * Port- The port the LB itself will listen on
 30 | 
 31 | * Target port - The port on the pods to forward connections to
 32 | 
 33 | * Selector - The pods that we want to load balance to. In the above example pods matching the `run: my-nginx` label.
 34 | 
 35 | # Demonstrate Basic Understanding of `NetworkPolicies`
 36 | 
 37 | These determine if pods communicate with each other. By default this is left completely open. Think of this as firewall rules. We can apply network policies by:
 38 | 
 39 | *   Pod selectors (labels)
 40 | *   Namespace selectors
 41 | *   CIDR blocks ranges
 42 | 
 43 | If we were to run a nginx container and curl to it from a pod, it works as expected.
 44 | 
 45 | ```
 46 | /home # curl 10.10.57.2
 47 | <!DOCTYPE html>
 48 | <html>
 49 | <head>
 50 | <title>Welcome to nginx!</title>
 51 | <style>
 52 |    body {
 53 | ```
 54 | 
 55 | 
 56 | The following example creates a `NetworkPolicy` object that denies all inbound traffic in the default namespace
 57 | 
 58 | 
 59 | ```
 60 | apiVersion: networking.k8s.io/v1
 61 | kind: NetworkPolicy
 62 | metadata:
 63 |   name: deny-all
 64 | spec:
 65 |   podSelector: {}
 66 |   policyTypes:
 67 |   - Ingress
 68 | ```
 69 | 
 70 | 
 71 | After applying and redoing the curl test, it fails:
 72 | 
 73 | 
 74 | ```
 75 | /home # curl 10.10.57.2
 76 | curl: (7) Failed connect to 10.10.57.2:80; Connection timed out
 77 | ```
 78 | 
 79 | 
 80 | A fleshed out network policy looks like the following:
 81 | 
 82 | 
 83 | ```
 84 | apiVersion: networking.k8s.io/v1
 85 | kind: NetworkPolicy
 86 | metadata:
 87 |   name: test-network-policy
 88 |   namespace: default
 89 | spec:
 90 |   podSelector:
 91 |     matchLabels:
 92 |       role: db
 93 |   policyTypes:
 94 |   - Ingress
 95 |   - Egress
 96 |   ingress:
 97 |   - from:
 98 |     - ipBlock:
 99 |         cidr: 172.17.0.0/16
100 |         except:
101 |         - 172.17.1.0/24
102 |     - namespaceSelector:
103 |         matchLabels:
104 |           project: myproject
105 |     - podSelector:
106 |         matchLabels:
107 |           role: frontend
108 |     ports:
109 |     - protocol: TCP
110 |       port: 6379
111 |   egress:
112 |   - to:
113 |     - ipBlock:
114 |         cidr: 10.0.0.0/24
115 |     ports:
116 |     - protocol: TCP
117 |       port: 5978
118 | ```


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/RevisionTopics/Part-5-Pod-Design.md:
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  1 | # Understand Deployments and how to perform rolling updates
  2 | 
  3 | Deployments are intended to replace Replication Controllers. They provide the same replication functions (through Replica Sets) and also the ability to rollout changes and roll them back if necessary. An example configuration is shown below:
  4 | 
  5 | ```
  6 | apiVersion: apps/v1
  7 | kind: Deployment
  8 | metadata:
  9 |   name: nginx-deployment
 10 |   labels:
 11 |     app: nginx
 12 | spec:
 13 |   replicas: 3
 14 |   selector:
 15 |     matchLabels:
 16 |       app: nginx
 17 |   template:
 18 |     metadata:
 19 |       labels:
 20 |         app: nginx
 21 |     spec:
 22 |       containers:
 23 |       - name: nginx
 24 |         image: nginx:1.14.2
 25 |         ports:
 26 |         - containerPort: 80
 27 | ```
 28 | 
 29 | To update an existing deployment, we have two main options:
 30 | 
 31 | * Rolling Update
 32 | * Recreate
 33 | 
 34 | A rolling update, as the name implies, will swap out containers in a deployment with one created by a new image.
 35 | 
 36 | Use a rolling update when the application supports having a mix of different pods (aka application versions). This method will also involve no downtime of the service, but will take longer to bring up the deployment to the requested version
 37 | 
 38 | A recreate will delete all the existing pods and then spin up new ones. This method will involve downtime. Consider this a “bing bang” approach.
 39 | 
 40 | Examples listed in the Kubernetes documentation are largely imperative, but I prefer to be declarative. As an example, create a new yaml file and make the required changes, in this example, the version of the nginx container is incremented.
 41 | 
 42 | 
 43 | ```
 44 | apiVersion: apps/v1
 45 | kind: Deployment
 46 | metadata:
 47 |   name: nginx-deployment
 48 |   labels:
 49 |     app: nginx
 50 | spec:
 51 |   replicas: 3
 52 |   selector:
 53 |     matchLabels:
 54 |       app: nginx
 55 |   template:
 56 |     metadata:
 57 |       labels:
 58 |         app: nginx
 59 |     spec:
 60 |       containers:
 61 |       - name: nginx
 62 |         image: nginx:1.15
 63 |         ports:
 64 |         - containerPort: 80
 65 | ```
 66 | 
 67 | We can then apply this file `kubectl apply -f updateddeployment.yaml --record=true`
 68 | 
 69 | ```
 70 | kubectl rollout history deployment/nginx-deployment
 71 | 
 72 | deployment.extensions/nginx-deployment
 73 | REVISION  CHANGE-CAUSE
 74 | 1     	<none>
 75 | 2     	<none>
 76 | 4     	<none>
 77 | 5     	kubectl apply --filename=updateddeployment.yaml --record=true
 78 | ```
 79 | 
 80 | Alternatively, we can also do this imperatively:
 81 | 
 82 | ```
 83 | kubectl --record deployments/nginx-deployment set image deployments/nginx-deployment nginx=nginx:1.9.1
 84 | 
 85 | deployment.extensions/nginx-deployment image updated
 86 | deployment.extensions/nginx-deployment image updated
 87 | ```
 88 | 
 89 | # Understand Deployments and how to perform rollbacks
 90 | 
 91 | To rollback to the previous version:
 92 | 
 93 | `kubectl rollout undo deployment/nginx-deployment`
 94 | 
 95 | To rollback to a specific version:
 96 | 
 97 | `kubectl rollout undo deployment/nginx-deployment --to-revision 5`
 98 | 
 99 | Where revision number comes from `kubectl rollout history deployment/nginx-deployment`
100 | 
101 | # Understand Jobs and CronJobs
102 | 
103 | A job in Kubernetes is a pod that executes a process that runs to completion. Examples include processing some data to produce an output, or performing a backup operation. `Jobs` are their own API type in Kubernetes, an example is listed below, which computes π to 2000 places and prints it out
104 | 
105 | ```
106 | apiVersion: batch/v1
107 | kind: Job
108 | metadata:
109 |   name: pi
110 | spec:
111 |   template:
112 |     spec:
113 |       containers:
114 |       - name: pi
115 |         image: perl
116 |         command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
117 |       restartPolicy: Never
118 |   backoffLimit: 4
119 | ```
120 | To describe/extract logs from `Jobs`:
121 | 
122 | `kubectl describe jobs/pi`
123 | `kubectl logs $PodName` 
124 | 
125 | A `CronJob` creates `Jobs` on a repeating schedule.
126 | 
127 | ```
128 | apiVersion: batch/v1beta1
129 | kind: CronJob
130 | metadata:
131 |   name: pi
132 | spec:
133 |   schedule: "*/1 * * * *"
134 |   jobTemplate:
135 |     spec:
136 |       template:
137 |         spec:
138 |             containers:
139 |             - name: pi
140 |               image: perl
141 |               command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
142 |             restartPolicy: Never
143 | ```


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/RevisionTopics/Part-4-Observability.md:
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  1 | # Observability
  2 | 
  3 | # Understand LivenessProbes and ReadinessProbes
  4 | 
  5 | The kubelet uses liveness probes to know when to restart a container. For example, liveness probes could catch a deadlock, where an application is running, but unable to make progress. Restarting a container in such a state can help to make the application more available despite bugs.
  6 | 
  7 | The kubelet uses readiness probes to know when a container is ready to start accepting traffic. A Pod is considered ready when all of its containers are ready. One use of this signal is to control which Pods are used as backends for Services. When a Pod is not ready, it is removed from Service load balancers.
  8 | 
  9 | Take the following example:
 10 | 
 11 | ```
 12 | apiVersion: v1
 13 | kind: Pod
 14 | metadata:
 15 |   labels:
 16 |     test: liveness
 17 |   name: liveness-exec
 18 | spec:
 19 |   containers:
 20 |   - name: liveness
 21 |     image: busybox
 22 |     args:
 23 |     - /bin/sh
 24 |     - -c
 25 |     - sleep 30; touch /tmp/healthy; sleep 60 
 26 |     readinessProbe:
 27 |       exec:
 28 |         command:
 29 |         - cat
 30 |         - /tmp/healthy
 31 |       initialDelaySeconds: 5
 32 |       periodSeconds: 5
 33 | 
 34 | ```
 35 | 
 36 | This pod will sleep for 30 seconds, write to `/tmp/healthy` and then wait 60 seconds. The `readinessProbe` will cat this file to determine if the container is ready to accept traffic
 37 | 
 38 | `initialDelaySeconds` influences the number of seconds after the container has started before liveness probes are initiated.
 39 | 
 40 | `periodSeconds` Influences how often (in seconds) to perform the probe.
 41 | 
 42 | Applying this manifest will yield:
 43 | 
 44 | ```
 45 | NAME            READY   STATUS              RESTARTS   AGE
 46 | liveness-exec   0/1     ContainerCreating   0          2s
 47 | liveness-exec   0/1     Running             0          3s
 48 | liveness-exec   1/1     Running             0          35s
 49 | ```
 50 | 
 51 | Note the ~30 second gap between when the Pod is in a `running` state, and when the underlying container is `ready`. Only when the underlying containers are ready is when traffic will be sent to the Pod (ie when fronted by a `service` object).
 52 | 
 53 | The above example leveraged `exec` as the probe type. There are three types that can be used:
 54 | 
 55 | * exec
 56 | * httpGet - Perform a `http get` request. An example would be:
 57 | ```
 58 | readinessProbe:
 59 |   httpGet:
 60 |     path: /ready
 61 |     port: 80
 62 | ```
 63 | 
 64 | * tcpSocket - Establish a connection to the specified port
 65 | 
 66 | ```
 67 | readinessProbe:
 68 |   tcpSocket:
 69 |     port: 80
 70 | ```
 71 | 
 72 | Both `readiness` and `liveness` are of the same type - ie kind `probe` https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#probe-v1-core
 73 | 
 74 | To implement a `livenessProbe`, simply rename accordingly:
 75 | 
 76 | ```
 77 | livenessProbe:
 78 |   tcpSocket:
 79 |     port: 80
 80 | ```
 81 | 
 82 | And apply similar logic, using either `exec`, `httpGet`, or `tcpSocket` probe types to match your application logic.
 83 | 
 84 | # Understand Container Logging
 85 | 
 86 | Containers that log to stdout and stderr can have their logs extracted via kubectl:
 87 | 
 88 | ```
 89 | kubectl logs nginx
 90 | ```
 91 | 
 92 | Where “nginx” is the name of a Pod. However, we can increase the scope by supplying labels:
 93 | 
 94 | ```
 95 | kubectl logs -l app=nginx --all-containers=true
 96 | ```
 97 | 
 98 | This will return all logs from containers in Pods with a defined label “app=nginx”.
 99 | 
100 | Leverage `kubectl describe pod` to get information pertaining to a specific pod.
101 | 
102 | ```
103 | kubectl describe pod nginx-65899c769f-2pgzk
104 | ```
105 | 
106 | This can be used for other K8s types - ie `deployment`, `service`, `node`, etc.
107 | 
108 | Note at the end there are a list of events:
109 | 
110 | 
111 | ```
112 | Events:
113 |  Type    Reason                 Age   From                    Message
114 |  ----    ------                 ----  ----                    -------
115 |  Normal  Scheduled              18m   default-scheduler       Successfully assigned nginx-65899c769f-2pgzk to k8s-worker-01
116 |  Normal  SuccessfulMountVolume  18m   kubelet, k8s-worker-01  MountVolume.SetUp succeeded for volume "default-token-rbt5s"
117 |  Normal  Pulling                18m   kubelet, k8s-worker-01  pulling image "nginx"
118 |  Normal  Pulled                 18m   kubelet, k8s-worker-01  Successfully pulled image "nginx"
119 |  Normal  Created                18m   kubelet, k8s-worker-01  Created container
120 |  Normal  Started                18m   kubelet, k8s-worker-01  Started container
121 | ```
122 | Specifying `--previous` will output the logs for the previous instance of the container in a pod if it exists
123 | 
124 | ```
125 | kubectl logs --previous nginx
126 | ```
127 | 
128 | # Understand how to monitor applications in Kubernetes
129 | 
130 | Monitoring applications can be accomplished in a number of different ways employing a number of different metrics. However, a few key concepts come to mind:
131 | 
132 | * Pods - How the individual Pods are performing.
133 | * Services - How the applications are being exposed
134 | * Cluster - How the cluster is performing. This will have an impact on the applications that reside within it.
135 | 
136 | In reality, you would install and leverage something like Prometheus and Grafana to scrape and visualise cluster, application and component level performance statistics. However, for the purposes of this exam an appreciation of the K8s Metrics server should be evident.
137 | 
138 | Metrics-server discovers all nodes on the cluster and queries each node's kubelet for CPU and memory usage, exposed via the `metrics.k8s.io API`. These can be accessed via `kubectl top` to display a number of different metrics:
139 | 
140 | ```
141 | Kubectl top node 
142 | 
143 | NAME               CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
144 | k3s-ranch-node-1   357m         8%     4402Mi          55%       
145 | k3s-ranch-node-2   165m         4%     2515Mi          31%       
146 | k3s-ranch-node-3   350m         8%     2627Mi          33%
147 | ```
148 | 
149 | ```
150 | kubectl top pod -n kube-system     
151 | 
152 | NAME                                     CPU(cores)   MEMORY(bytes)   
153 | coredns-66c464876b-sw4cq                 3m           11Mi            
154 | local-path-provisioner-7ff9579c6-g9p5t   1m           8Mi             
155 | metrics-server-7b4f8b595-5lc7h           2m           19Mi            
156 | svclb-traefik-8nthn                      0m           2Mi             
157 | svclb-traefik-fdkzc                      0m           2Mi             
158 | svclb-traefik-k4nn9                      0m           1Mi             
159 | traefik-5dd496474-ssrz4                  5m           23Mi    
160 | ```
161 | 
162 | # Understand Debugging in Kubernetes
163 | 
164 | This is largely dependent on the application in question and what’s being leveraged in terms of the Kubernetes infrastructure, but from a top level.
165 | 
166 | **Pods:**
167 | 
168 | `kubectl get pods` - Get the pods currently running and their status
169 | 
170 | `kubectl logs nginx-web` - Get stderr/stdout from pod
171 | 
172 | `kubectl describe pod nginx-web` - Get detailed information about a pod, including the steps that were required to run it, for example pulling images, assigning to nodes, etc.
173 | 
174 | ```
175 | Events:
176 |  Type    Reason     Age   From                    Message
177 |  ----    ------     ----  ----                    -------
178 |  Normal  Scheduled  7s    default-scheduler       Successfully assigned default/nginx-web to k8
179 | S-worker-04
180 | 
181 |  Normal  Pulling    6s    kubelet, k8s-worker-04  Pulling image "nginx"
182 |  Normal  Pulled     4s    kubelet, k8s-worker-04  Successfully pulled image "nginx"
183 |  Normal  Created    4s    kubelet, k8s-worker-04  Created container nginx
184 |  Normal  Started    3s    kubelet, k8s-worker-04  Started container nginx
185 |  ```
186 | 
187 | **Services:**
188 | 
189 | `kubectl get services`
190 | `kubectl describe service kubernetes`
191 | 
192 | When diagnosing services, particularly those which are only accessible internally (the default service type) spin up a pod to which you can exec into to run tests.
193 | 
194 | `kubectl run -i --tty busybox --image=busybox -- sh`
195 | 
196 | At which point tools such as ping/telnet/nslookup. IE:
197 | 
198 | `nslookup appservice.default.svc.cluster.local 10.0.0.10`
199 | 
200 | **Deployments:**
201 | 
202 | `Kubectl get deployments`
203 | `Kubectl describe deployment nginx`
204 | 
205 | **General debugging steps:**
206 | 
207 | 
208 |   * Spin up a pod for testing internal cluster networking (service IP)
209 |   * Describe pods/services to ensure the correct endpoints are being added
210 |   * Ensure pods/services are exposed on the correct port
211 |   * Exec directly into pods and run commands locally
212 | 


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/RevisionTopics/Part-1-Core-Concepts.md:
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  1 | # Understand Kubernetes API primitives
  2 | 
  3 |  Quite a large subject to cover, but is well documented at [https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/api-conventions.md](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/api-conventions.md)
  4 | 
  5 | # Create and configure basic Pods
  6 | 
  7 | Pods are the smallest deployable units of computing that you can create and manage in Kubernetes.
  8 | 
  9 | A Pod (as in a pod of whales or pea pod) is a group of one or more containers , with shared storage/network resources, and a specification for how to run the containers. A Pod's contents are always co-located and co-scheduled, and run in a shared context. A Pod models an application-specific "logical host": it contains one or more application containers which are relatively tightly coupled. In non-cloud contexts, applications executed on the same physical or virtual machine are analogous to cloud applications executed on the same logical host.
 10 | 
 11 | ![K8s Pod Anatomy](./Images/pods.svg)
 12 | Source https://kubernetes.io/docs/tutorials/kubernetes-basics/explore/explore-intro/
 13 | 
 14 | 
 15 | There are a number of approaches to create a pod spec within K8s.
 16 | 
 17 | # Pod Anatomy
 18 | 
 19 | The specification for a pod can be quite simple, breaking down a sample Nginx pod spec reveals the following:
 20 | 
 21 | ```
 22 | apiVersion: v1
 23 | kind: Pod
 24 | ```
 25 | 
 26 | Like with any Kubernetes object, we have a `apiVersion` and `Kind`. `Pod` is its own kind
 27 | 
 28 | ```
 29 | metadata:
 30 |   labels:
 31 |     run: nginx
 32 |   name: nginx
 33 | ```
 34 | 
 35 | Next is metadata - in this example containing the name of the pod, and a label, which is formed of a key=value pair. 
 36 | 
 37 | ```
 38 | spec:
 39 |   containers:
 40 |   - image: nginx
 41 |     name: nginx
 42 | ```
 43 | 
 44 | Next is the meat of the pod spec. Which containers are in this pod, what name they're given and what image they're based on. 
 45 | 
 46 | Putting it all together:
 47 | 
 48 | ```
 49 | apiVersion: v1
 50 | kind: Pod
 51 | metadata:
 52 |   labels:
 53 |     run: nginx
 54 |   name: nginx
 55 | spec:
 56 |   containers:
 57 |   - image: nginx
 58 |     name: nginx
 59 | ```
 60 | 
 61 | # Creating manifests from scratch
 62 | 
 63 | This requires intimate knowledge of the Kubernetes API spec for pods - https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#pod-v1-core
 64 | 
 65 | To which a basic Pod spec can be created:
 66 | 
 67 | ```
 68 | apiVersion: v1
 69 | kind: Pod
 70 | metadata:
 71 |   labels:
 72 |     run: nginx
 73 |   name: nginx
 74 | spec:
 75 |   containers:
 76 |   - image: nginx
 77 |     name: nginx
 78 | ```
 79 | 
 80 | # Create manifests from a template
 81 | 
 82 | This is a slightly more user friendly option and is likely helpful during the exam, leveraging `kubectl` to generate some YAML:
 83 | 
 84 | ```
 85 | kubectl run nginx --image=nginx --dry-run -o yaml                                                          
 86 | 
 87 | apiVersion: v1
 88 | kind: Pod
 89 | metadata:
 90 |   creationTimestamp: null
 91 |   labels:
 92 |     run: nginx
 93 |   name: nginx
 94 | spec:
 95 |   containers:
 96 |   - image: nginx
 97 |     name: nginx
 98 |     resources: {}
 99 |   dnsPolicy: ClusterFirst
100 |   restartPolicy: Always
101 | status: {}
102 | ```
103 | 
104 | # Pod topology - Single container
105 | 
106 | The below example highlights a single Pod with a single Container, but there are other Pod types:
107 | 
108 | ```
109 | apiVersion: v1
110 | kind: Pod
111 | metadata:
112 |   labels:
113 |     run: nginx
114 |   name: nginx
115 | spec:
116 |   containers:
117 |   - image: nginx
118 |     name: nginx
119 |   restartPolicy: Always
120 | ```
121 | # Pod topology - Multiple containers
122 | 
123 | There are situations where having multiple containers in a pod is beneficial, particularly in scenarios that require containers to be tightly coupled:
124 | 
125 | ```
126 | apiVersion: v1
127 | kind: Pod
128 | metadata:
129 |   name: two-containers
130 |   labels:
131 |     run: nginxplusdebian
132 |   name: nginxplusdebian
133 | spec:
134 |   containers:
135 |   - name: nginx-container
136 |     image: nginx
137 |   - name: debian-container
138 |     image: debian
139 |     command: ["/bin/sh"]
140 |     args: ["-c", "while true; do echo hello; sleep 10;done"]
141 | ```
142 | 
143 | This example also makes use of the `command` and `args` definition to prevent the Debian container from crashing, as all containers need to run a process.
144 | 
145 | 
146 | # Pod topology - Multiple containers with shared storage
147 | 
148 | Adding a `volume` stanza within the pod specification creates a volume of a certain type. As Pods share resources that are allocated to it, the volume can be mounted by both containers:
149 | 
150 | ```
151 | apiVersion: v1
152 | kind: Pod
153 | metadata:
154 |   name: two-containers
155 | spec:
156 |   restartPolicy: Never
157 |   volumes:
158 |   - name: shared-data
159 |     emptyDir: {}
160 |   containers:
161 |   - name: nginx-container
162 |     image: nginx
163 |     volumeMounts:
164 |     - name: shared-data
165 |       mountPath: /usr/share/nginx/html
166 |   - name: debian-container
167 |     image: debian
168 |     volumeMounts:
169 |     - name: shared-data
170 |       mountPath: /pod-data
171 |     command: ["/bin/sh"]
172 |     args: ["-c", "echo Hello from the debian container > /pod-data/index.html"]
173 |   ```
174 | 
175 |   An `emptyDir` volume is first created when a Pod is assigned to a Node, and exists as long as that Pod is running on that node. As the name says, it is initially empty. Containers in the Pod can all read and write the same files in the emptyDir volume, though that volume can be mounted at the same or different paths in each Container. When a Pod is removed from a node for any reason, the data in the emptyDir is deleted forever.
176 | 
177 |   Other volume types include (but not limited to) AzureDisk, iSCSI, NFS, Local, Fibre Channel and cinder.
178 | 
179 |   Both containers mount the volume, `debian-container` writes into this directory, and `nginx` reads from it.
180 | 
181 |   # Init containers
182 | 
183 |   The previous examples leverage the `container` stanza in the pod specification. These are typically used to run an application. There are, however, other container types, `init` being one of them.
184 | 
185 |   `init`, or initalization containers are always executed before those declared with the `container` stanza. If an `init` container fails, the Pod is declared as failed.
186 | 
187 |   Reasons for using `init` containers normally include:
188 | 
189 |   * Preparing a volume by prepopulating (`git clone`)
190 |   * Waiting for a service or external resource to be ready
191 | 
192 |   ```
193 | apiVersion: v1
194 | kind: Pod
195 | metadata:
196 |   name: myapp-pod
197 |   labels:
198 |     app: myapp
199 | spec:
200 |   containers:
201 |   - name: myapp-container
202 |     image: busybox:1.28
203 |     command: ['sh', '-c', 'echo The app is running! && sleep 3600']
204 |   initContainers:
205 |   - name: init-container
206 |     image: busybox:1.28
207 |     command: ['sh', '-c', 'until nslookup myservice; do echo waiting for myservice; sleep 2; done;']
208 |   ```
209 | 
210 |   In this example, `init-container` will run until completion prior to `myapp-container` running. The former will perform a `nslookup` every 2 seconds until it can resolve `myservice`. Once it can, the `init-container` will finish and `myapp-container` will run.
211 | 
212 | 
213 |   # Ephemeral containers
214 | 
215 | Ephemeral containers may be run in an existing pod to perform user-initiated actions such as debugging. In order to add an ephemeral container to an existing pod, use the pod's `ephemeralContainers` subresource. This field is alpha-level and is only honored by servers that enable the EphemeralContainers feature.
216 | 
217 | Whereas `initContainers` are used proactively, `ephemeralContainers` are more geared towards reactive, interactive troubleshooting. For example, a Pod can be spun up with a single container:
218 | 
219 | `kubectl run nginxtest --image=nginx`
220 | 
221 | "Inject" a debug container based on the busybox image into this Pod.
222 | 
223 | `kubectl alpha debug nginxtest -i --image=busybox`
224 | 
225 | The image selected for debugging will have all the necessary tooling, binaries, utilities etc to debug the application running in the Pod.
226 | 
227 | # Configuring environment variables
228 | 
229 | Containers within a pod can have environment variables configured via the `env` stanza:
230 | 
231 | ```
232 | apiVersion: v1
233 | kind: Pod
234 | metadata:
235 |   name: nginx-env
236 | spec:
237 |   containers:
238 |   - image: nginx
239 |     name: nginx
240 |     env:
241 |       - name: ENV_VAR_1
242 |         value: Somevariable 
243 | ```
244 | 
245 | Which can be validated by:
246 | 
247 | ```
248 | kubectl exec -it nginx-env -- env | grep ENV 
249 | ENV_VAR_1=Somevariable
250 | ```
251 | 


--------------------------------------------------------------------------------
/RevisionTopics/Part-2-Configuration.md:
--------------------------------------------------------------------------------
  1 | # Understand ConfigMaps
  2 | 
  3 | Configmaps are a way to decouple configuration from pod manifest file, this keeps our pod configuration more simple, and changes to configuration can be made outside of the Pod configuration.
  4 | 
  5 | **ConfigMaps should not be used to store confidential information.** Storing such information (such as API keys, passwords, etc) should be facilitated by `secrets` -which are covered later.
  6 | 
  7 | Configmaps take the format of key/value pairs and are usually leveraged for:
  8 | 
  9 | * Command line arguments to the entrypoint of a container
 10 | * Environment variables for a container
 11 | * Add a file in read-only volume, for the application to read
 12 | * Write code to run inside the Pod that uses the Kubernetes API to read a ConfigMap
 13 | 
 14 | The anatomy of a ConfigMap manifest is as so:
 15 | 
 16 | ```
 17 | apiVersion: v1
 18 | kind: ConfigMap
 19 | metadata:
 20 |   name: cm-demo
 21 | data:
 22 |   somekey: "somevalue"
 23 | ```
 24 | But it can also be created with `kubectl`:
 25 | 
 26 | `kubectl create configmap vt-cm --from-literal=blog=virtualthoughts.co.uk`
 27 | 
 28 | And populated from a file:
 29 | 
 30 | `kubectl create configmap vt-cm --from-file=path/to/bar`
 31 | 
 32 | 
 33 | # Using a ConfigMap to populate an environment variable
 34 | 
 35 | By itself, a ConfigMap is somewhat meaningless. It needs to be mounted by a Pod. 
 36 | 
 37 | A simple example is to populate an environment variable using a value from the config map. The manifest below creates a configmap and the subsequent Pod uses it to populate the CONFIGMAP environment variable:
 38 | 
 39 | ```
 40 | apiVersion: v1
 41 | kind: ConfigMap
 42 | metadata:
 43 |   name: cm-demo
 44 | data:
 45 |   somekey: "somevalue"
 46 | ---
 47 | apiVersion: v1
 48 | kind: Pod
 49 | metadata:
 50 |   name: configmap-demo-pod
 51 | spec:
 52 |   containers:
 53 |     - name: cm-demo-pod
 54 |       image: nginx
 55 |       env:
 56 |         - name: CONFIGMAP 
 57 |           valueFrom:
 58 |             configMapKeyRef:
 59 |               name: cm-demo        
 60 |               key: somekey
 61 | ```
 62 | 
 63 | An `exec` command can validate this has been set:
 64 | 
 65 | ```
 66 | kubectl exec -it configmap-demo-pod -- env | grep CONFIG                         
 67 | CONFIGMAP=somevalue
 68 | ```
 69 | 
 70 | # Mounting a configmap
 71 | 
 72 | ConfigMaps can be quite versatile. Instead of populating environment variables we can also mount them as files. 
 73 | 
 74 | ```
 75 | apiVersion: v1
 76 | kind: ConfigMap
 77 | metadata:
 78 |   name: cm-demo
 79 | data:
 80 |   configfile.txt: |
 81 |     configSetting1=configValue1
 82 |     configSetting2=configValue2
 83 |     configSetting3=configValue3
 84 |     configSetting4=configValue4
 85 | ---
 86 | apiVersion: v1
 87 | kind: Pod
 88 | metadata:
 89 |   name: configmap-demo-pod-mount
 90 | spec:
 91 |   containers:
 92 |   - name: cm-demo-pod
 93 |     image: nginx
 94 |     volumeMounts:
 95 |     - name: configfile
 96 |       mountPath : /tmp
 97 |   volumes:
 98 |   - name: configfile
 99 |     configMap:
100 |       name: cm-demo
101 | ```
102 | 
103 | The above will mount the configmap as a file in /tmp. A `exec` can verify this:
104 | 
105 | ```
106 | kubectl exec -it configmap-demo-pod-mount -- cat /tmp/configfile.txt          
107 | configSetting1=configValue1
108 | configSetting2=configValue2
109 | configSetting3=configValue3
110 | configSetting4=configValue4
111 | ```
112 | 
113 | # Understand SecurityContexts
114 | 
115 | A security context defines privilege and access control settings for a Pod **or** Container. `SecurityContexts` applied at the Pod level apply to all containers within that Pod. Alternatively, they can be set on specific containers.
116 | 
117 | Common use cases are to set items like:
118 | 
119 | * `runAsUser` and `runAsGroup` - The user and group ID's of the container
120 | * `privileged` - Sets whether the Pod(s) - A "privileged" container is given access to all devices on the host. This allows the container nearly all the same access as processes running on the host. This is useful for containers that want to use linux capabilities like manipulating the network stack and accessing devices.
121 | 
122 | # Setting a SecurityContext at the Pod level
123 | 
124 | ```
125 | apiVersion: v1
126 | kind: Pod
127 | metadata:
128 |   name: security-context-demo
129 | spec:
130 |   securityContext:
131 |     runAsUser: 1500
132 |   containers:
133 |   - name: sec-demo
134 |     image: busybox
135 |     command: [ "sh", "-c", "sleep 1h" ]
136 |   - name: sec-demo2
137 |     image: busybox
138 |     command: [ "sh", "-c", "sleep 1h" ]
139 | ```
140 | 
141 | Shelling into either container in the Pod and performing a `ps` command reveals the userid of the process:
142 | 
143 | ```
144 | kubectl exec -it security-context-demo -c sec-demo -- ps 
145 | 
146 | PID   USER     TIME  COMMAND
147 |     1 1500      0:00 sleep 1h
148 |    11 1500      0:00 ps
149 | ```
150 | 
151 | ```
152 | kubectl exec -it security-context-demo2 -c sec-demo -- ps 
153 |     
154 | PID   USER     TIME  COMMAND
155 |     1 1500      0:00 sleep 1h
156 |    11 1500      0:00 ps
157 | ```
158 | 
159 | Performing the same but for a specific container:
160 | 
161 | ```
162 | apiVersion: v1
163 | kind: Pod
164 | metadata:
165 |   name: security-context-demo
166 | spec:
167 |   containers:
168 |   - name: sec-demo
169 |     image: busybox
170 |     command: [ "sh", "-c", "sleep 1h" ]
171 |     securityContext:
172 |       runAsUser: 1500
173 |   - name: sec-demo2
174 |     image: busybox
175 |     command: [ "sh", "-c", "sleep 1h" ]
176 | ```
177 | 
178 | Pod `sec-demo` runs as userID 1500
179 | 
180 | ```
181 | kubectl exec -it security-context-demo -c sec-demo -- ps  
182 | PID   USER     TIME  COMMAND
183 |     1 1500      0:00 sleep 1h
184 |     6 1500      0:00 ps
185 | ```
186 | Pod `sec-demo2` runs as user root
187 | 
188 | ```
189 | kubectl exec -it security-context-demo -c sec-demo2 -- ps 
190 | PID   USER     TIME  COMMAND
191 |     1 root      0:00 sleep 1h
192 |     7 root      0:00 ps
193 | ```
194 | 
195 | 
196 | # Define an application’s resource requirements
197 | 
198 | The Kubernetes Pod spec permits the configuration of memory and CPU requests and limits within the `resources` stanza.
199 | 
200 | A Container is guaranteed to have as much memory as it requests, but is not allowed to use more memory than its limit. 
201 | 
202 | A Container cannot use more CPU than the configured limit. Provided the system has CPU time free, a container is guaranteed to be allocated as much CPU as it requests.
203 | 
204 | ```
205 | apiVersion: v1
206 | kind: Pod
207 | metadata:
208 |   labels:
209 |     run: nginx
210 |   name: nginx-limits
211 | spec:
212 |   containers:
213 |   - image: nginx
214 |     name: nginx
215 |     resources:
216 |       limits:
217 |         cpu: 1
218 |         memory: "200Mi"
219 |       requests:
220 |         cpu: 0.5
221 |         memory: "100Mi"
222 | ```
223 | 
224 | # Create and consume Secrets
225 | 
226 | To reiterate a previous point - **ConfigMaps should not be used to store confidential information.**
227 | 
228 | 
229 | Secrets allow us to store and manage sensitive information pertaining to our applications, which can take the form of a variety of objects such as usernames, passwords, ssh keys and much more. 
230 | 
231 | Similarly to configmaps, secrets are designed to decouple this information directly from the pod declaration.
232 | 
233 | As part of a Kubernetes cluster stand up, secrets are already leveraged, and can be viewed them by executing the following:
234 | 
235 | `kubectl get secrets -A`
236 | 
237 | Secrets have three subtypes:
238 | 
239 | * Docker-Registry - for use with a docker registry
240 | * Generic - created from a directory, file or literal
241 | * TLS - for TLS certificates
242 | 
243 | Examples to create from `kubectl` :
244 | 
245 | `kubectl create secret tls tls-secret --cert=path/to/tls.cert --key=path/to/tls.key`
246 | 
247 | `kubectl create secret generic my-secret --from-literal=key1=supersecret`
248 | 
249 | The anatomy of a secret manifest is as so:
250 | 
251 | ```
252 | apiVersion: v1
253 | data:
254 |   key1: c3VwZXJzZWNyZXQ=
255 | kind: Secret
256 | metadata:
257 |   name: my-secret
258 | ```
259 | 
260 | The contents of the secret key are **encoded** by default, **not encrypted**. To encrypt secrets at rest, a `EncryptionConfiguration` object needs to be present - more details of which can be found here: https://kubernetes.io/docs/tasks/administer-cluster/encrypt-data/
261 | 
262 | Consuming secrets is very similar to configmaps. (note as environment variables is one of a number of ways to leverage secrets)
263 | 
264 | To encode a string in Base64 in Linux, use the `Base64` command
265 | 
266 | ```
267 | echo "dbu" | base64
268 | 
269 | ZGJ1Cg==
270 | ```
271 | 
272 | ```
273 | apiVersion: v1
274 | data:
275 |   username: ZGJ1Cg==
276 |   pass: ZGJwCg==
277 | kind: Secret
278 | metadata:
279 |   name: my-secret
280 | ---
281 | apiVersion: v1
282 | kind: Pod
283 | metadata:
284 |  name: secret-test-pod
285 | spec:
286 |  containers:
287 |  - name: secret-demo-pod
288 |    image: nginx
289 |    env:
290 |      - name: DB_Username
291 |        valueFrom:
292 |          secretKeyRef:
293 |            name: my-secret
294 |            key: username
295 |      - name: DB_Pass
296 |        valueFrom:
297 |          secretKeyRef:
298 |            name: my-secret
299 |            key: pass
300 | ```
301 | 
302 | ```
303 | kubectl exec -it secret-demo-pod -- env | grep DB_
304 | 
305 | DB_Username=dbu
306 | DB_Pass=dbp
307 | ```
308 | 
309 | # Understand ServiceAccounts
310 | 
311 | A service account provides an identity for processes that run in a Pod, with this identity, Pods can interact with the Kubernetes API server.
312 | 
313 | Pods that are created without an explicit service account binding are automatically assigned the `default` service account in the namespace for which it resides in. For example:
314 | 
315 | ```
316 | kubectl get po nginx -o yaml | grep serviceAccount
317 | 
318 | serviceAccount: default
319 | serviceAccountName: default
320 | ```
321 | The default ServiceAccounts only has limited rights, consequently, it is generally best practice to create a ServiceAccount for each application, giving it minimal rights it requires.
322 | 
323 | The first step is to create a new Service Account:
324 | 
325 | ```
326 | apiVersion: v1
327 | kind: ServiceAccount
328 | metadata:
329 |  name: serviceaccount-demo
330 | ```
331 | Which, by itself, is not very helpful - it has no rights. For this, we need to create a `role` - which defines the permissions that objects bound to it will inherit:
332 | 
333 | ```
334 | apiVersion: rbac.authorization.k8s.io/v1beta1
335 | kind: Role
336 | metadata:
337 |  name: list-pods
338 |  namespace: default
339 | rules:
340 |  — apiGroups:
341 |    — ''
342 |  resources:
343 |    — pods
344 |  verbs:
345 |    — list
346 | ```
347 | 
348 | Next, we need to bind the `service account` to this `role` with a `role binding`
349 | 
350 | ```
351 | kind: RoleBinding
352 | apiVersion: rbac.authorization.k8s.io/v1
353 | metadata:
354 |   name: example-rolebinding
355 |   namespace: default
356 | subjects:
357 | - kind: ServiceAccount
358 |   name: serviceaccount-demo
359 | roleRef:
360 |   kind: Role
361 |   name: pod-reader
362 |   apiGroup: rbac.authorization.k8s.io
363 | 
364 | ```
365 | 
366 | And finally, configure a Pod to use this `Service Account` as defined i the `spec` stanza.
367 | 
368 | ```
369 | apiVersion: v1
370 | kind: Pod
371 | metadata:
372 |   name: nginx-sa
373 | spec:
374 |   serviceAccountName: serviceaccount-demo
375 |   containers:
376 |   - image: nginx
377 |     name: nginx
378 | ```


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