Kubernetes Blue-Green Deployment

Blue-Green deployment is a strategy to achieve zero-downtime deployment. With cloud-native applications, it is common practice to reduce downtime when upgrading the application version. Due to the ease with which we can provision new infrastructure on the cloud, it becomes easier to adopt new ways of improving the deployment.

Blue Green deployment definition

In this post, we will look at how to use Blue-Green deployment with Kubernetes. One of the best places to look for definition is the glossary of terms provided by Cloud Native Computing Foundation (CNCF). The CNCF defines Blue Green deployment as

"A strategy for updating running computer systems with minimal downtime. The operator maintains two environments, dubbed “blue” and “green”. One serves production traffic (the version all users are currently using), whilst the other is updated. Once testing has concluded on the non-active (green) environment, production traffic is switched over (often via the use of a load balancer)."

The main point here is two identical environments named blue and green and the traffic switching using load balancer. Lets see how this can be applied to the Kubernetes environment.

How to perform Kubernetes Blue Green Deployment

We start by creating two versions of the application. Let's say V1 which is deployed to the live environment. This forms our Blue environment. To keep things simple, I have created a simple ASP.Net Core application. It is packaged into a Docker image with two tags. One tag has Blue background and will be used to deploy to the Blue environment. The other container image with green tag will be used to deploy to the Green environment. The two docker container images are published to Dockerhub as

  • nileshgule/blue-green-demo:blue
  • nileshgule/blue-green-demo:green

Step 1 : Setup Blue environment

Once the container images are pushed to the container registry, we can use Kubernetes Deployment to deploy to the Kubernetes cluster. We create a blue-deployment using the image tagged as blue. The Kubernetes deployment will internally create a replicaset and related pod. In the pod deployment template we set the label as app: blue.

The deployment is exposed outside the Kubernetes cluster using a Kubernetes service of the type loadbalancer. The service uses the selector with app: blue value. 

Browse the public IP of the loadbalancer service and we will be presented with the web page with Blue background.

Step 2:  Setup Green environment

The second step of the Blue-Green deployment is to create the Green environment. This is done by creating a 2nd Kuberentes deployment using the image nileshgule/blue-green-demo:green tag. We also set the label for the deployment as app: green. The rest of the attributes in the manifest file are almost same as the blue deployment. After applying the Green deployment, the service is still serving 100% traffic to Blue environment. We can perform test on the next version or release of the application which is deployed to the green environment. If the tests are successful, we can switch the traffic to green environment.

Step 3: Route traffic to Green environment

The final step in the Blue-Green deployment is to switch the traffic to the Green environment. We can do this by editing the service manifest. We update the selector to select the pods with app: green label. Apply this change to the Kubernetes service. All the traffic is now redirected to the Green environment. 

Note that the Blue environment is still there, but the active or live traffic is served by the green environment. If there is any problem with the Green environment, we can change the selector in the service again to point back to the Blue environment quickly allowing us to revert the changes with minimal impact on the end users.

Youtube video

The steps explained in this blog post are demonstrated in the Youtube video in detail. Watch the video for a live demo and feel free to provide feedback in the video comments.


It is very easy to use the Blue-Green deployment strategy with Kubernetes using Service. This strategy is quite useful to reduce the downtime for stateless applications. Stateful applications are a bit more involved. This reduces the risk during application upgrades. By having a standby environment we can easily fallback to an older version with no downtime. Hope you found this useful.

Until next time, Code with Passion and Strive for Excellence.


Improve your productivity with Kubernetes using aliases


Kubernetes is the de-facto standard for orchestrating containers. If you are working on a daily basis with Kubernetes, you are most likely using the kubectl to interact with the Kubernetes cluster for performing different operations like listing pods, checking for deployments, viewing logs etc. Working with kubectl using a terminal is the most common approach in such a scenario.  

Earlier I had demonstrated how to use two power tools kubectx and kubens. In this post, we will look at how to give kubectl a huge productivity boost by using programmatically generated aliases. 

A quick word on the alias

If you come from a scripting background with experience in bash or shell scripting or even Powershell scripts, you might be familiar with aliases. These are like shortcuts that we can add to the terminal session to execute a command or piece of code. One of the most commonly used alias while working with kubectl is k. Instead of typing kubectl every time, most people create an alias with k and we can replace/substitute kubectl with k. 

We can persist the aliases across sessions and store them permanently. In the case of bash aliases on Linux or Unix systems, mostly these are stored in the .bashrc profile file under the home directory of the user. The same thing can be done on a Windows environment by creating a function as an alias in a PowerShell profile document. 

Need for kubectl aliases

Now that we understand a bit about aliases, let us see how we can use them with Kubernetes and kubectl to be specific. Kubernetes has various objects like Pods, Deployments, Replicasets, Nodes, Endpoints, PersistentVolume, PersistentVolumeClaims etc. Each of these objects has support for different operations like create, update, delete, edit, get. Along with the different types of operations, there are also different flags that can be used while working with these objects using kubectl like -A or --all for listing objects from all namespaces.

Kubectl also supports displaying information in different formats like JSON or YAML. In order to improve efficiency and productivity while working with kubectl, we can alias the commonly used commands as shown below:

  • alias kg="k get"
  • alias kgpo="kg po" or alias kgpo="kg pods"
  • alias kgno="kg no" or alias kgno="kg nodes"
  • alias kd="k describe"
  • alias kaf="k apply -f"
  • alias kdf="k delete -f"

Note that some Kubernetes objects have short forms like po for pods and no for nodes. We can get the list of resources supported by Kubernetes along with their short names using the following command

kubectl api-resources

The above screenshot shows a partial list of resources, their short names, API versions etc.

If we were to create aliases for each of the resources and different operations supported for that resources, it will be a very time consuming and cumbersome process. This is where a smart guy names Ahmet Alp Balkan came up with a programmatic way to generate aliases for kubectl.


The Github repository contains the list of over 800 aliases that are programmatically generated. It also contains instructions about how to set up these aliases. We need to download the file and source it in our bash profile which makes these aliases available for us to use with the terminal session.

There is a set of conventions followed while naming or generating these aliases. 

  • k = kubectl
    • sys = --namespace kube-system
  • commands
    • g = get
    • d = describe
    • rm = delete
    • a : apply -f
    • ak : apply -k
    • k : kustomize
    • ex : exec -t -t
    • lo : logs -f
  • resources
    • po = pod
    • dep = deployment
    • ing = ingress
    • svc = service
    • cm = configmap
    • sec = secret
    • ns = namespace
    • no = node
  • flags
    • output formats : oyaml, ojson, owide
    • all : -all or --all-namespaces depending on command
    • sl : --show-labels
    • w : -w/--watch
  • value flags : should be at the end
    • n = -n/--namespace
    • f = -f/--filename
    • l = -l/--selector

Using these conventions it is quite convenient to work with kubectl. This reduces typing errors and improves our efficiency greatly. Here are a few examples

  • k get pods --> kgpo
  • k get pods --all-namespaces --> kgpoall
  • k get pods -n kube-system --> ksyspo
  • k get pods -o yaml -> kgpooyaml
  • k get configmaps -n keda --> kgcmn keda

If you are on Windows machine, you need not be left behind. There is a PowerShell version of these aliases. Here is the link to the Github repository created by Shanoor. 

Youtube video

I created a short video demonstrating these in much more detail. Catch all the action in the below Youtube video.



We all want to improve our daily ways of working. I am sure you will benefit from this little tip if you are a regular user of Kubectl. Hopefully in your role as a developer or DevOps engineer or SRE role you find this useful. Do let me know in the comments of this post or in the Youtube video if you have any feedback.

Until next time, Code with Passion and Strive for Excellence.


How to prepare and clear CKAD certification exam



The new year started on a happy note for me. A few days back, I cleared the Certified Kubernetes Application Developer (CKAD) certification. This was on the second attempt that I managed to clear the exam. It is the best online certification exam I have answered so far. This post is about my experience with the exam and how to prepare for it. I also share some information that might be helpful during the exam itself.

Exam Curriculum

The exam is completely hands on. There are no multiple choice questions. We are given a set of 6 different Kubernetes clusters. Each cluster has a different configuration and the questions are related to designing and developing cloud native applications in the Kubernetes environment. There are five different broad areas which are assessed as shown below. These include

  • Application Design and Build 20%
  • Application Deployment 20%
  • Application Observability and Maintenance 15%
  • Application Environment, Configuration and Security 25%
  • Services & Networking 20%

The exam is conducted by Linux Foundation in collaboration with Cloud Native Computing Foundation (CNCF). You can find out more about the exam on the Linux Foundation training website.

The duration of the test is 2 hours with 66% as the minimum passing score. The certificate is valid for 3 years. In case you are not able to clear on the first attempt, you get 1 free retake.

References for exam preparation

I like to use multiple resources while preparing for any certifications. For CKAD as well I referred to multiple sources of information. Here is a quick list of different references I used.

Kubernetes docs

We are allowed to refer to the Kubernetes docs during the exam. It is like an open book test. The following links are helpful for getting started with Kubernetes and understanding the different concepts.

  • Kubernetes docs - https://kubernetes.io/docs/home/
  • Kubernetes.io tasks - https://kubernetes.io/docs/tasks/
  • kubectl cheatsheet - https://kubernetes.io/docs/reference/kubectl/cheatsheet/

Learning course

Along with the Kubernetes docs, I supplemented the knowledge by registering for the eLearning course. There are many courses available online. Almost every eLearning platform will have one or more course related to the CKA exam preparation. Some also offer mock test. I took the CKAD exam plus the Kubernetes fundamentals bundle from Linux foundation

The Kubernetes Certified Application Developer (CKAD) with Tests on Udemy by Mumshad Mannambeth is also one of the most popular courses.

I liked the details and the depth this course covers the contents. There are hands on labs or mini tests after every major topic. The course is filled with lots of gems in the form of tips and tricks related to the actual exam.

Github Repos

Here is a list of Github repositories I found useful

  • CKAD Excercises - https://github.com/dgkanatsios/CKAD-exercises
  • CKAD resources - https://github.com/lucassha/CKAD-resources
  • Nilesh Gule CKAD exam prep - https://github.com/NileshGule/ckad-exam-prep
  • Denny Zhang kubectl cheatsheet - https://github.com/dennyzhang/cheatsheet-kubernetes-A4
  • Ahmet Alp Balkan Kubernetes network policy recipes - https://github.com/ahmetb/kubernetes-network-policy-recipes


These blog posts provide useful tips for preparation as well as exam

  • Be fast with kubectl - https://faun.pub/be-fast-with-kubectl-1-18-ckad-cka-31be00acc443
  • How to nail Kubernetes certification exams - https://www.infoworld.com/article/3631108/how-to-nail-the-kubernetes-certification-exams.html
  • Codefresh Kubernetes cheatsheet - https://codefresh.io/kubernetes-tutorial/kubernetes-cheat-sheet/
  • CKAD practical challenge series - https://codeburst.io/kubernetes-ckad-weekly-challenges-overview-and-tips-7282b36a2681Tips 

Watch out for discounts

You will find discounts during Black Friday, Cyber Monday, Christmas, New Year, Diwali, Eid etc. Make use of these discounts on learning courses as well as the actual test.

Learn Imperative commands

Due to the time limit of 2 hours, you need to be quick in finishing the tasks related to completing the exam. While you can copy and paste yaml from the Kubernetes documentation, editing it could take some time. The test will have specific requirements like naming Kubernetes objects with specific names and deploying them to a specific namespace. Usually, Kubernetes docs will deploy the objects in default namespace. It will save you quite some time if you know how to work with imperative commands. The output of these commands can be piped to yaml files and then you can make the required modifications instead of handcrafting the complete yaml from scratch.

Compared to CKA exam, I found the questions in CKAD to be lengthy. There are more subtasks for each question. You end up solving more subtasks and you need to be really fast.

Learn basic vi or nano editor commands

The test environment is Linux based. If you are coming from Windows background like me, you need to be familiar with vi or nano code editors. Be familiar with editing files and command like deleting lines of code, navigating to specific lines, updating a word, saving files etc.

Here is a handy cheatsheet I found to work with the vi editor more effectively.

Practice, Practice, practice

Whoever has cleared the CKA, CKAD or CKS exams will tell you that practice is the most important part of exam preparation. If you don't know how to work with the Kubernetes resources or objects using kubectl, there is no way you are going to clear this test. There could be multiple ways of achieving the same task. You need to find the one which is the most time efficient. 

Bookmark specific links

Bookmarking the links from Kubernetes documentation is helpful to find the resource quickly. Instead of bookmarking the top level pages, I recommend bookmarking specific sections to avoid scrolling through the lengthy page looking for information.

Practice exam

If you book the Kubernetes related certification exam after June 2021, you will have access to the practice exam from Killer.sh. This exam gives you two attempts at the same test. The environment is available for 36 hours and answers along with a detailed explanation of the steps is provided to help you prepare better for real test.

Tips during the exam

  • Use external monitor (recommended), minimize screen switching
  • External keyboard and mouse can be used
  • Enable kubectl auto completions
  • create aliases (before starting test)
  • Update vimrc / editor profile
  • Time management
    • use imperative commands (huge time saver)
    • use copy feature instead of typing
    • use the notepad feature to make quick notes
    • flag questions for review
    • don't spend too much time on a single question (avg 5-6 mins)
  • verify solution after task completion

Aliases in bash profile

I added the following aliases in the bash profile to reduce typing kubectl commands

  • alias cls=clear

  • alias kg='k get'
  • alias kgpo='kg po'
  • alias kgno='kg no'

  • alias kdes='k describe'

  • alias kaf='k apply -f'
  • alias kdf='k delete -f'
Along with these aliases, I had also exported to handy commands
  • export do='--dry-run=client -o yaml'
  • export fg='--force --grace-period=0'

vi editor settings

Last but not the least, I also updated the settings for vi editor so that text can be aligned/indented properly when we tab in the editor. This also helps when we copy and paste the code snippets from Kubernetes docs.

  • set tabstop=2
  • set shiftwidth=2
  • set expandtab

Youtube video

All the topics mentioned in this post are explained in more detail in the Youtube video. 


CKAD certification is meant to gauge the skills of Kubernetes developers. If you do not know how to build and deploy cloud-native applications which are deployed on the Kubernetes cluster, this certification is not for you. Practice well before taking the exam. There are 17 questions with different weights. Hope this post is helpful for those preparing for the exam in future.

Until next time, Code with Passion and Strive for Excellence.