The article "Running Azure Kubernetes with Nvidia H100 GPUs" on Enix's blog provides an in-depth look at utilizing Nvidia H100 GPUs within Azure Kubernetes Service (AKS). It covers the setup process, configuration details, and performance benefits of integrating these powerful GPUs into your Kubernetes clusters. The article also explores real-world applications and use cases, highlighting how the combination of Azure Kubernetes and Nvidia H100 GPUs can significantly enhance computational workloads, particularly in fields such as AI and machine learning.

https://enix.io/en/blog/azure-kubernetes-gpu-h100/

The article "LoxiLB Cluster Networking: Elevating K8s Networking Capabilities" on LoxiLB's blog discusses the advanced networking solutions provided by LoxiLB for Kubernetes clusters. It highlights how LoxiLB enhances Kubernetes networking capabilities by offering high-performance load balancing, improved scalability, and robust traffic management. The article details the features and benefits of using LoxiLB in a Kubernetes environment, demonstrating how it can optimize network operations and ensure reliable, efficient service delivery.

https://www.loxilb.io/post/loxilb-cluster-networking-elevating-k8s-networking-capabilities

Managing AWS EKS load balancers effectively is key to ensuring reliable and efficient application performance. This article from Towards Data Science provides expert tips and best practices for handling load balancers in AWS EKS. Learn how to optimize configuration, manage costs, and enhance the performance of your Kubernetes applications with professional load balancer management techniques.

https://towardsdatascience.com/manage-your-aws-eks-load-balancer-like-a-pro-7ca599e081ca

A utility for generating Mermaid diagrams from Terraform configurations
https://github.com/RoseSecurity/Terramaid

♾️ Infisical is the open-source secret management platform: Sync secrets across your team/infrastructure, prevent secret leaks, and manage internal PKI

https://github.com/Infisical/infisical

In modern infrastructure-as-code (IaC) practices, the efficiency of Terraform workflows is crucial for maintaining robust and scalable systems. This blog post explores the nuanced strategies of applying Terraform changes either before or after merging code, weighing the pros and cons of each approach. Dive into the best practices and key considerations for mastering your Terraform workflows to optimize your IaC processes.

https://terramate.io/rethinking-iac/mastering-terraform-workflows-apply-before-merge-vs-apply-after-merge

Building an effective Terraform development pipeline is essential for automating infrastructure management and ensuring consistent deployments. This blog post delves into the components and best practices for setting up a robust Terraform pipeline, from version control and testing to continuous integration and deployment. Enhance your Terraform workflows and streamline your infrastructure as code processes with these practical insights and strategies.

https://mycloudrevolution.com/2024/05/23/terraform-development-pipeline

Dkron - Distributed, fault tolerant job scheduling system

https://github.com/distribworks/dkron

Application Platform for LKE (and any other conformant K8s)

https://github.com/linode/apl-core

Event-driven architecture (EDA) is a powerful design pattern that enhances the responsiveness and scalability of modern applications. This blog post provides an in-depth look at various EDA patterns, highlighting their benefits, use cases, and implementation strategies. Discover how to leverage EDA to create more efficient, resilient, and decoupled systems that can better handle real-time data and complex workflows.

https://newsletter.simpleaws.dev/p/event-driven-architecture-patterns

Choosing the right continuous delivery (CD) tool is vital for the success of your DevOps practices. This blog post compares Argo CD and Flux CD, two popular GitOps tools, examining their features, strengths, and weaknesses. Gain insights into how each tool can streamline your deployment processes and help you decide which is best suited for your project's needs.

https://blog.aenix.io/argo-cd-vs-flux-cd-7b1d67a246ca

NGINX Gateway Fabric provides an implementation for the Gateway API using NGINX as the data plane.

https://github.com/nginxinc/nginx-gateway-fabric

The Feature-rich, Kubernetes-native, Next-Generation API Gateway Built on Envoy

https://github.com/solo-io/gloo

A file server that supports static serving, uploading, searching, accessing control, webdav...

https://github.com/sigoden/dufs

Integrating BGP, Cilium, and FRR can revolutionize your network's performance and scalability. This blog post explores how combining these technologies at the top-of-rack (ToR) level can enhance network efficiency and security. Learn about the benefits, implementation strategies, and real-world applications of using BGP, Cilium, and FRR in your infrastructure.

https://blog.miraco.la/bgp-cilium-and-frr-top-of-rack-for-all

Managing telemetry data efficiently is crucial for maintaining application performance and reducing costs. This blog post offers practical tips and strategies to minimize the amount of telemetry data generated by your app without compromising on essential insights. Explore methods to optimize data collection, enhance performance, and achieve cost-effective monitoring.

https://brightinventions.pl/blog/how-to-reduce-telemetry-data-produced-by-your-app/

A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.

https://github.com/armadaproject/armada

Build & ship backends without writing any infrastructure files.

https://github.com/shuttle-hq/shuttle

CI/CD Security Analyzer

https://github.com/CycodeLabs/raven

Request-based autoscaling in Kubernetes allows for dynamic scaling of applications based on incoming traffic, including the ability to scale down to zero when no requests are present. This article by Daniele Polencic explores the concept of request-based autoscaling in Kubernetes, detailing how it works, the benefits, and implementation strategies. Learn how to efficiently manage resources by automatically scaling your applications in response to demand.

https://dev.to/danielepolencic/request-based-autoscaling-in-kubernetes-scaling-to-zero-2i73

Analyzing volatile memory on a Google Kubernetes Engine (GKE) node is crucial for understanding performance issues and security vulnerabilities. This article delves into the methods and tools used by Spotify's engineering team to examine and manage volatile memory effectively on GKE nodes, offering valuable insights and practical techniques for improving system reliability and performance.

https://engineering.atspotify.com/2023/06/analyzing-volatile-memory-on-a-google-kubernetes-engine-node/