Introduction Combining multiple Kubernetes secrets into a single directory can streamline secret management in your applications. This guide walks you through the process of achieving this in Kubernetes, ensuring efficient and organized secret management. Creating Secrets First, create your secrets using the kubectl create secret command: kubectl create secret generic secret-one --from-literal=key1=value1 kubectl create secret generic secret-two --from-literal=key2=value2 Each secret can contain multiple key-value pairs, and you can add more secrets as needed.

I was recently involved with troubleshooting some API’s hosted in Kubernetes throwing http/502’s. This was incredibly difficult to diagnose because it seemingly happened at random, and I had never encountered anything like this. Being that I had never dealt with this in the past, and I (nor my team) was able to figure it out within a reasonable amount of time, I turned to google. My searches resulted in various blogs and SO posts of other people experiencing similar issues, but none of their resolutions worked for us.

By default, scale-out operations performed manually or by cluster autoscale rules require the allocation and provisioning of new nodes, and scale-in operations delete nodes. Scale-down mode is a relatively newer concept that allows us to choose whether to delete or deallocate nodes. Having the ability to deallocate, rather than delete, nodes is a major performance benefit, as the time it takes to spin up new nodes will be significantly decreased. You will not be charged when nodes are deallocated.

If you manage Linux nodes, you know how vital performing regular maintenance is. Installing software patches that modify Linux kernel headers requires a reboot. Normally, as in the past, we would cordon and drain the node and then manually reboot, wait for it to come back online, verify its health, and add it back to the cluster. That’s a lot of manual work! How can we automate this? Weaveworks created a great tool for simplifying these steps: Kured (the Kubernetes Reboot Daemon).

I have somewhat of a niche issue, where I have no network connectivity while connecting to my work VPN inside of WSL v2. I have found others complaining about this issue on Github. Though no one seems to know how to fix it and I have not had the time to properly investigate. Because of this, I’m required to continue using WSL v1. Though, with WSL v1, Docker does not work.

In this post, we will discuss how to remove a Kubernetes namespace that is stuck in the ‘terminating’ state. A namespace is like a container. You can use it to store related objects in a Kubernetes environment. Maybe you are hosting a blog in Kubernetes. This blog will likely have a database, a frontend website, a load balancer (service) to spread the incoming traffic among ‘x’ number of frontend containers (pods), and maybe some middle-tier or utility applications.

In this blog post, we will attempt to explain the current storage options that exist in Kubernetes. If you are new to Kubernetes, learning about its capabilities of managing the application state can be a daunting task. Container images are built-in layers, with the runtime layer being writable. However, any files on this writable layer are only available for the container’s lifetime. We can mount a volume to a directory inside the container to have persistent data.

In this article, we will dive into the process of pod eviction in a Kubernetes cluster, how you can pod prevent pod eviction, and how you can recover from such a situation. What is Pod Eviction? Kubernetes pod eviction is a type of involuntary service disruption in which a pod is forcefully stopped on a node or fails to be scheduled on a node. Pod eviction can happen for a variety of reasons.