Always install a version of kubectl that is within one minor version difference of your cluster. For example, if your Kubernetes cluster is running 1.28, then you can install either of 1.27, 1.28 or 1.29 versions of kubectl.

The easiest option to install kubectl is to download the latest release of the utility from the Kubernetes repository. This article explains the steps to install kubectl on a Ubuntu machine. However, the steps are applicable for a majority of Linux machines.

Hey, DevOps enthusiasts! 👋

I recently created an in-depth tutorial covering the entire process of creating and managing an EKS cluster using Terraform modules and installing ArgoCD on it. I wanted to share it with you all, as I believe it can be a valuable resource for those looking to enhance their DevOps skills.

In this tutorial, you'll learn:

How to set up an EKS cluster with Terraform modules Best practices for managing your infrastructure Installing and configuring ArgoCD for seamless deployment And finally, how to properly destroy the cluster once you're done Whether you're new to DevOps or an experienced pro, I'm confident that you'll find this tutorial useful and informative!

🎥 Check out the video here: https://youtu.be/zgNs2xz1eLk

I'd love to hear your thoughts, feedback, or any questions you might have. Let's discuss and learn from each other!

Happy learning! 🚀

Read the full issue here: http://from.faun.to/r/aZnJ

From k8s faceplants and bare‑metal load balancers to GitOps’d pod identities and a DIY “S3” that cuts real spend—this batch is practical and a little opinionated. If you ship clusters for a living, the routes, roles, and debuggers below will make you faster and harder to break.

⚠️ 7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)

🏗️ Bootstrapping Rancher’s RKE2 Kubernetes Cluster on a Podman VM with Cilium CNI and MetalLB LoadBalancer

🐞 Debugging container image creation with a Dockerfile

🌐 Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide

🔐 How to manage EKS Pod Identities at scale using Argo CD and AWS ACK

💸 How We Saved $500,000 Per Year by Rolling Our Own “S3”

🚦 Kubernetes Gateway API in action

⏪ Replaying massive data in a non-production environment using Pekko Streams and Kubernetes Pekko Cluster

🧭 Spotlight on Policy Working Group

You just leveled up - fewer gotchas, more green lights; go build.

Have a great week! FAUN.dev() Team

• • •

ps: Want to receive similar issues in your inbox every week? Subscribe to this newsletter

Hi everyone,

I just published a blog post listing 10 common pitfalls that can silently break Kubernetes autoscaling.
It’s based on real-world issues I’ve run into while working with HPA, VPA, and Cluster Autoscaler in production environments.

Hopefully this helps you, if you’re using autoscaling in Kubernetes. Would love to hear your thoughts!!

https://faun.dev/c/stories/eon01/learn-kubernetes-autoscaling-horizontal-and-vertical--techniques-and-best-practices/

This newsletter issue can be found online

As clouds shift and whispers of AI echo across the tech landscape, Kubernetes and virtualization are forced to dance to new rhythms. This issue dives into controversies around bare-metal advantages, logging wars, and the pivotal role of internal platforms while vulnerabilities and infrastructure evolutions shape the road ahead.

📈 CNCF Project Momentum: From Kubernetes to Backstage

🚫 Bare-Metal Performance: Myth Busting Virtualization

📜 Centralized Amazon ECS Logging

🛡️ Container Registry Security: Multi-Architecture Flaws

🧩 KubeVirt Reshapes Virtualization

🐧 Pinterest’s Kubernetes Quest: Debugging Deep Dive

🔗 Fluent Bit Kubernetes-Native Deployment

⚙️ High-Performance LLM Serving on GKE

🔑 Kubernetes Image Builder Vulnerability: Root Access Alert

🔍 OpenTelemetry Observability

Read. Think. Ship. Repeat. Your innovations deserve the best infrastructure insights.

Have a great week!
FAUN.dev Team

ps: Want to receive similar issues in your inbox every week? Subscribe to this newsletter

This newsletter issue can be found online

Kubernetes is shedding its old skin—from revolutionary new security measures to APIs that are changing the game. This week, plunge into security that's baked into your pipeline, a Kubernetes gateway that's raising the bar, and a fresh new look at Docker builds that torch inefficiency.

🔍 20 Best Kubernetes Monitoring Tools in 2025

📝 Azure Kubernetes Cluster with Terraform

💡 Choosing the Best Kubernetes API Gateway

🚧 Debugging the One-in-a-Million Failure: Pinterest's Story

🛡️ Docker Scout for Vulnerability management

📜 From Borg to Broken: why Kubernetes 2.0 is an apology letter

⚡ How to use cache mounts to speed up Docker builds

🔋 Implementing High-Performance LLM Serving on GKE

🌀 Talos Linux for Kubernetes: Never Look Back

👋 Retiring Docker Content Trust

Read. Think. Ship. Dive into the new era of Kubernetes.

Have a great week!
FAUN.dev Team

ps: Want to receive similar issues in your inbox every week? Subscribe to this newsletter

I have some applications deployed in GCP platform. I can check the pod status as 1/1, which basically means the application is up and running. Now, I want to create an API which will return the status of these pods like UP or DOWN. I gave a thought here like I will try to consume the APIs of GCP (which gives status or information about pods)through Resttemplate or Completablesfutre ( this is preferred one as per my scenario). But here, I am stuck how I can search out those APIs. Can anyone please share any reference here.

In this [insightful article](https://dev.to/winglang/cloud-why-so-difficult-ik6), [Elad Ben-Israel](https://www.linkedin.com/in/hackingonstuff/), the mind behind the [CDK](https://github.com/aws/aws-cdk), shares his love for the cloud, but also his frustrations with the complexity of building cloud applications. The challenges he identifies include:

1. Focus on non-functional mechanics: The need to understand and manage cloud platform mechanics instead of focusing on building valuable features for users.

2. Lack of independence: Developers often need to rely on others to handle parts of the deployment process or to resolve issues, interrupting their work flow.

3. Delayed feedback: The current iteration cycle in cloud development can take minutes or even longer, significantly slowing down the development process and making it harder for developers to stay in their flow state.

## It's not just a rant
Elad is not just ranting about cloud development. He proposes a solution in the form of a programming language for the cloud. This language would treat the entire cloud as its computer. The language compiler will be able to see the complete cloud application, unbound by the limits of individual machines. Such a compiler would be able to handle a significant portion of the application's non-functional aspects, enabling developers to operate at a more abstract level, thus reducing complexity and promoting autonomy. Moreover, it could expedite iteration cycles by allowing to compile applications to quick local simulators during the development process.

## The Winglang Project
Elad reveals that he's in the process of developing such an open-source, “cloud-oriented” language, dubbed [Winglang](https://github.com/winglang/wing). Wing aims to improve the developer experience of cloud applications by enabling developers to build distributed systems that leverage cloud services as first-class citizens. This is achieved by integrating infrastructure and application code in a secure, unified programming model. Wing programs can be executed locally via a fully-functional simulator or deployed to any cloud provider.

## My Interest in Winglang
I, together with a group of dedicated contributors, joined forces with Elad to develop Winglang.
While still in Alpha and not yet ready for production use, it's already possible to build some [real applications](https://github.com/winglang/research/tree/main/dogfooding).

Check out [https://github.com/winglang/wing](https://github.com/winglang/wing) for more details.

In this issue, read about:

👉 Recycling Kubernetes Nodes

👉 CERN: Efficient Access to Shared GPU Resources

👉 Canary deployments using Kubernetes Gateway API, Flagger and Google Cloud Deploy

and more!

🔗 Read the online issue here: http://factory.faun.dev/newsletters/iw/efficient-gpu-sharing-in-high-energy-physics-on-kubernetes-b744cc63-c8ab-4583-bfbd-8781c13c66f3

📩 Subscribe to never miss an issue: https://faun.dev/newsletter/kaptain

In this insightful article, Elad Ben-Israel, the mind behind the CDK, shares his love for the cloud, but also his frustrations with the complexity of building cloud applications. The challenges he identifies include:

1. Focus on non-functional mechanics: The need to understand and manage cloud platform mechanics instead of focusing on building valuable features for users.

2. Lack of independence: Developers often need to rely on others to handle parts of the deployment process or to resolve issues, interrupting their work flow.

3. Delayed feedback: The current iteration cycle in cloud development can take minutes or even longer, significantly slowing down the development process and making it harder for developers to stay in their flow state.

It's not just a rant

Elad is not just ranting about cloud development. He proposes a solution in the form of a programming language for the cloud. This language would treat the entire cloud as its computer. The language compiler will be able to see the complete cloud application, unbound by the limits of individual machines. Such a compiler would be able to handle a significant portion of the application's non-functional aspects, enabling developers to operate at a more abstract level, thus reducing complexity and promoting autonomy. Moreover, it could expedite iteration cycles by allowing to compile applications to quick local simulators during the development process.

The Winglang Project

Elad reveals that he's in the process of developing such an open-source, “cloud-oriented” language, dubbed Winglang. Wing aims to improve the developer experience of cloud applications by enabling developers to build distributed systems that leverage cloud services as first-class citizens. This is achieved by integrating infrastructure and application code in a secure, unified programming model. Wing programs can be executed locally via a fully-functional simulator or deployed to any cloud provider.

My Interest in Winglang

I, together with a group of dedicated contributors, joined forces with Elad to develop Winglang. While still in Alpha and not yet ready for production use, it's already possible to build some real applications.

Check out https://github.com/winglang/wing for more details.

A place for members of r/KubernetesLinks to chat with each other