In February Come Cloud With Us is hosting a Kubernetes panel with some of the industry’s BEST Kubernetes experts. I am honored and humbled to be one of the panelists. This panel consists of K8s experts from Dell, Google, Microsoft, Intercept, United Wholesale Mortgage, and Admincontrol. This is a global panel with panelists and hosts from the United States, Norway, United Kingdom, and Canada. Several of the panelists are also authors, Microsoft MVP’s and CNCF Ambassadors.
Here is a breakdown of the hosts and the panelists:
The panel will discuss Kubernetes and answer attendee questions. This will be a virtual event. This will be an event that you DON’T want to miss! Mark your calendars for the event on Thursday, February 16, 2023 4:00PM-5:30PM CST!
I am kicking off the new year as a guest on the “AzureTalks” podcast by Rolf Schutten. Rolf is a Microsoft MVP based out of the Netherlands. The AzureTalks podcast is a free-form conversation with experts and advocates around the industry discussing various topics on Azure, its services, and integration points with Azure. Some of the topics also get into strategy career, personal development, and more. You can listen to podcast episodes on Google Podcasts, Spotify, and YouTube. You can find the website for this podcast here: www.azuretalks.com
The episode I am a guest on is #004 titled “Containerize apps to AKS with Azure Draft, and Hybrid with Azure Arc“.
In this episode, we discuss how developers can utilize Azure Draft to streamline taking their non-containerized app from code to running on AKS. Azure Draft takes you through the entire process from creating the container, the files needed to run on Kubernetes manifests, Helm charts, or Kustomize, pushing up to an Azure Container Registry, and deploying to AKS.
We also dive into GitHub, GitOps, the differences between push and pull methods with continuous deployment, and even we even touched on hybrid cloud strategies and what role Azure Arc plays in this space. Listen to the audio version of the podcast episode here:
I recently was a guest on Michael Levan‘s Kubernetes Unpacked Podcast on the Packet Pushers network.
This is Kubernetes Unpacked episode #014 it is titled: “Using GitOps And AKS To Build And Deploy Applications“
Michael and I talked about using GitOps and Azure Kubernetes Service (AKS) to automate the building and deployment of applications. We also chat about an entire architecture incorporating AKS, GitHub Actions, Azure Container Registry, GitHub, and ArgoCD along with how it all comes together to make a useful stack. Check out the podcast below.
I will be speaking at Tech Summit Nigeria 2022. This event is to be held in Lagos, Nigeria at the Microsoft ADC center. It is an event for Cloud & Mixed- Reality professionals & enthusiasts. The website for the is https://www.techsummitnigeria.com.
My session title is: “K8s is complex! Simplify its Deployment & Configuration“.
The abstract is: Understanding Kubernetes is complex. Designing its architecture is complex. Deploying it is complex. And Configuring it is complex. K8s in general are complex. Spend less time on getting your Kubernetes up and running and more time running your containerized apps!
In this session, Steve Buchanan will take you on a journey utilizing a tool named the AKS Construction Helper that can simplify your AKS Deployment & Configurations.
It was a fun session with an engaged audience! Here are some pictures from the session.
If you missed my session you can watch the replay here:
Yesterday a new article titled “Build and deploy apps on AKS using DevOps and GitOps” was published. This is an article I was working on for a while and it is the first item of work that I can share publicly since joining Microsoft. I am working on many other things I can’t share publicly at the moment. :-)!
The article is a part of the Azure Architecture Center. This article is about modernizing end-to-end app build and deploy using containers, continuous integration (CI) via GitHub Actions for build and push to an Azure Container Registry, as well as GitOps via Argo CD for continuous deployment (CD) to an AKS cluster.
The article explores deploying a Python and Flask based app via two CI/CD approaches push-based and pull-based (GitOps). It is complete with a pros and cons comparison of both approaches and architecture diagrams for each that you can download. Here is a screenshot of the pull-based (GitOps) architecture:
The technologies used in this article and scenario include:
One of the top concerns I see from companies when architecting AKS is running out of IP addresses. This is commonly known as IP exhaustion. This concern would come up when selecting the network model for AKS specifically with Azure CNI.
Companies would lean towards Azure CNI at first but quickly opt for Kubenet. Azure CNI provides benefits on Azure. It has deeper integration between Kubernetes and Azure networking. With Azure CNI you don’t have to manually configure routing for traffic to flow from pods to other resources on Azure VNets. Pods get full network connectivity and can be reached via their private IP address. Supports Virtual Nodes (Azure Container Instances), it supports either Azure or Calico Network Policies and Windows containers. Azure CNI does however require more IP address space. The traditional Azure CNI assigns an IP address to every Pod from a subnet reserved for pods or pre-reserved set of IPs on every node. This method can lead to exhausting available IPs.
The alternative to Azure CNI with AKS is Kubenet. A lot of companies opt for Kubenet to avoid IP Exhaustion as it conserves IP address space. Kubenet assigns private IP addresses to pods. It does not have routing to Azure networking. In order to route from pods to Azure VNets you need to manually configure and manage user-defined routes (UDRs). With Kubenet a simple /24 IP CIDR range is able to support up to 251 nodes in an AKS cluster. This would give you support IPs for up to 27,610 pods (at 110 pods per node).
With Azure CNI the same /24 IP CIDR range would be able to support up to 8 nodes in the cluster supporting up to 240 pods (default max of 30 pods per node w/Azure CNI. Allocation of 31 IP address; 1 for the node + 30 for Pods.).
Here is a side by side breakdown of Kubenet and Azure CNI:
Capacity using ‘/24’ address range
251 nodes / 27,610 pods (110 pods / node)
8 nodes / 240 pods (30 pods / node)
Max nodes per cluster
400 (UDR max)
1,000 (or more)
NAT’ed / UDR /
Slightly greater (NAT hop)
Calico community support
Supported by Azure support and the Engineering team
Out of the Box Logging
/var/log/calico inside the container
Rules added/deleted in IPTables are logged on every host under /var/log/azure-npm.log
Best w/limited IP space Most pod comms within cluster UDR management is acceptable
Available IP space Most pod coms outside cluster No need to manage UDR Need advanced features
As you can see you can get a lot more pods on Kubenet and you will burn through a lot more IP’s with Azure CNI. One would think when using Azure CNI to just assign a large CIDR for the subnets like /16 instead of /24. This would work however most IT teams in the enterprise that are connecting AKS to existing networks don’t have that option based on the existing IP design and are stuck working with smaller IP address ranges they can use.
Microsoft has built a solution to the IP exhaustion problem. The solution is Azure CNI Overlay. Azure CNI Overlay for AKS has been around for a while but was recently released into public preview on 9/4/22. Azure CNI Overlay for AKS helps us avoid IP exhaustion with our AKS clusters. It does this by assigning using a private /24 IP CIDR range and assigning IPs from this for pods on every node.
After designing and architecting AKS the next step is to deploy your cluster/s. It is ideal to build your AKS deployments out as code.
This means taking your Azure infrastructure & AKS cluster/s design and scripting them as IaC (Infrastructure as Code). Scripting the AKS deployment vs manually deploying gives you documentation as code, standardization, & a templatized deployment for repeatability. You can deploy this code as is, place it in a pipeline for ease of deployment, in inner-source, or in a service catalog for access by multiple teams.
Microsoft has built a tool named the AKS Construction helper to accelerate building out your IaC for AKS. This tool is not as well-known as it should be. I wanted to blog about this tool to share this great resource that will save you tons of time. The AKS Construction helper was originally launched by Keith Howling of Microsoft. The core contributors to this tool have been Gordon Byers and Keith Howling with contributions from others as well.
The tool lets you select Operations Principles or Enterprise-Scale path for configuring the options.
This helps narrow down the overall design requirements of your AKS deployment.
The next section of the AKS Construction helper is to fine-tune your AKS deployment. This gives you the chance to tweak things like the cluster name, K8s version, resource group, region, to be created, IP and Cider, initial RBAC, SLA, autoscaling, upgrade configuration, cluster networking, add ons such as an ingress controller (App Gateway, NGINX, etc), monitoring such as Azure Monitor, Azure policy, service mesh, secret storage, Keda, GitOps with Flux, and even has a few options to deploy some sample apps. This is done across 5 tabs in the Fine tine and Deploy section.
After you have set all of the configurations for your cluster there is code available for you to copy on the Deploy tab. Again you have options for Az CLI, a Github Actions workflow, Terraform scripts or an ARM Template Parameters file. Running the deployment code will deploy your AKS cluster exactly how you have it configured in the AKS Construction helper tool.
With Kubernetes you will eventually, have the need to run stateful applications in Kubernetes. This is more common than you think. If you have never run stateful apps on Kubernetes before this can be a scary thing adding more moving parts to a Kubernetes cluster, deploying the app, as well as managing your stateful application/s on Kubernetes when it requires state.
In this blog post I am going to take you on a short journey to gain an understanding of Stateless vs Stateful applications, how storage works in Kubernetes touching on volumes, storage classes, persistent volumes (PC), and persistent volume claims (PVC), what Stateful Sets are, about Persistent state with pods, and good practices for running Stateful Apps on Kubernetes.
A stateless app is an application program that does not save client data generated in one session for use in the next session with that client.
A stateful app is a program that saves client data from the activities of one session for use in the next session.
The data that is saved is called the application’s state. Here is a visual covering the differences between Stateless and Stateful applications:
Here is a breakdown of what volumes are:
A volume is a directory, typically with data in it, that is accessible to the containers in a pod.
A volume represents a way to store, retrieve, and persist data across pods through an applications lifecycle.
Volume modes in Kubernetes supports are Filesystem or Block.
Volumes are backed by different types of storage such as NFS, iSCSI, or other cloud storage (i.e. awsElasticBlockStore, azureDisk, gcePersistentDisk etc..).
When pods ceases to exist, Kubernetes destroys ephemeral volumes; however, Kubernetes does not destroy persistent volumes.
Here is a breakdown of what volumes are:
Define types of storage tiers like Premium and Standard through Storage Classes in Kubernetes.
Give K8s admins a way to describe the “classes” of storage they offer.
StorageClasses define the provisioner, parameters, and reclaimPolicy used when a PersistentVolume is provisioned.
When a pod is deleted the underlying storage resource can either be deleted or kept for use with a future pod.
A reclaim Policy controls the behavior of the underlying storage resource when pod & the its persistent volume are no longer required.
Example of a configuration file for a StorageClass:
Argo CD has something called the Application reconciliation timeout. This is how often your applications will sync from Argo CD to the Git repository. It looks for changes and when it sees changes it will then apply the desired state from the repo to the Kubernetes (K8s) cluster. By default the timeout period is set to 3 minutes. This is set in the General Argo CD configuration.
The General Argo CD configuration is set in the argocd-cm ConfigMap. And the argocd-cm ConfigMap is deployed in the argocd namespace.
You can view what is currently set by running the following kubectl command on your K8s cluster that is running your Argo CD instance:
kubectl describe configmaps argocd-cm -n argocd
The output will look like the following:
You can also see that the argocd-cm Data is empty by running kubectl get configmaps -n argocd or if you are using AKS navigate to ConfigMaps in the Azure portal like in the following screenshot.
Most Argo CD instances are running the default settings for its configurations. The argocd-server component reads and writes to the argocd-cm ConfigMap and other Argo configuration ConfigMaps based on admin user interactions with the Argo CD web UI or the Argo CD CLI. It is normal for it to be empty with Data at 0 if you have not changed any defaults or set anything directly in the ConfigMap yet.
To change the Application reconciliation timeout you need to do the following:
The Application reconciliation timeout can be found on line 283 “timeout.reconciliation: 180s”.
Change “180s” to whatever number you want to change it to i.e. change to “60s” to reduce the sync internal to 1 minute.
Remove all of the other settings in the file except for the Application reconciliation timeout. The file should look like this:
# Application reconciliation timeout is the max amount of time required to discover if a new manifests version got
# published to the repository. Reconciliation by timeout is disabled if timeout is set to 0. Three minutes by default.
# > Note: argocd-repo-server deployment must be manually restarted after changing the setting.
5. Save the file.
6. Connect to the Kubernetes cluster that is running Argo CD and apply the argocd-cm ConfigMap file you just updated by running the following:
kubectl apply -f argocd-cm.yaml -n argocd
7. Run the following to verify the update was applied:
kubectl describe configmaps argocd-cm -n argocd
You should also notice at least 1 is listed under Data for the ConfigMap now.
8. It is a good practice to redeploy the argocd-repo-server after updating the argocd-cm ConfgigMap. You can redeploy the argocd-repo-server by running the following:
Recently Codefresh launched the 1st certification in its GitOps certification path. This one is called “GitOps Fundamentals“. You can find it here: https://codefresh.learnworlds.com .
It takes you through the basics of GitOps to gain theoretical knowledge, and how to utilize Argo CD as the GitOps operator to gain hands-on knowledge. You will learn about both and will have questions on both in the quizzes and final exam.
They also touch on Argo Rollouts to go over Progressive Delivery with topics such as blue/green deployments and canary deployments. This is the 1st ever GitOps certification and it’s free! They do have plans for GitOps at Edge and GitOps at Scale certifications.
I jumped all over this opportunity to get certified on GitOps, by signing up for the course, taking the training, and the exam! I passed and now I am GitOps certified.
Here is the certification:
GitOps is gaining adoption more and more every day in the Kubernetes space. Also, Argo CD is growing extremely fast as one of the top if not the top GitOps operator. I recommend you check this Codefresh GitOps certification out and get GitOps certified as this pattern and the technology behind it are growing at a super fast rate.
Also note, it looks like Weaveworks is planning to launch a “Certified GitOps Practitioner (CGP)” certification soon. I would guess the Weaveworks GitOps certification will contain content on Flux another GitOps operator. You can learn more about their coming GitOps certification here: https://www.weave.works/certified-gitops-practitioner
Also for more training on GitOps and Argo CD be sure to check out my GitOps and Argo CD courses on Pluralsight here: