Cloud Native Weekly:K8s Beginner’s Guide

Open Source project recommendations

KubeZoneNet

KubeZoneNet aims to monitor and optimize cross-availability zone (Cross-Zone) network traffic within Kubernetes clusters. This project provides an easy way to track and analyze communications across different availability zones in a Kubernetes cluster, helping users optimize network architecture, improve resource utilization, and reduce network latency. Through real-time monitoring and data analysis, KubeZoneNet effectively identifies cross-zone network bottlenecks and offers improvement suggestions to support efficient operation in large-scale distributed environments.

Kom

Kom is an open-source tool designed specifically for Kubernetes to simplify cluster operations and management. As an SDK-level abstraction, Kom provides a higher-level interface over kubectl and client-go, enabling users to operate and manage Kubernetes resources more conveniently. Kom supports comprehensive operations on various Kubernetes resources, including creation, updates, deletion, queries, and SQL-like queries.

Flusso

Flusso is a secure, high-performance API gateway and Ingress controller, designed for Kubernetes environments and written in Rust. Flusso aims to provide an efficient and reliable API management solution with strong security and low latency. It supports traffic management within Kubernetes clusters and facilitates operations such as traffic control, authentication, routing, and monitoring.

Reverb

Reverb is an open-source project that provides inference code for the Rev model, a powerful speech recognition model. The Reverb project aims to offer developers a simple and efficient way to implement inference functionalities for the Rev model. With Reverb, users can easily deploy and execute the Rev model for speech-to-text tasks.

Technical recommendations

Enhancing K8s Application Deployment Efficiency by Extending CI/CD and GitOps Practices

This article explores how extending Continuous Integration/Continuous Delivery (CI/CD) and GitOps practices can improve the deployment efficiency of K8s applications. The author points out that while GitOps tools like Argo CD can accelerate application delivery in K8s environments, they face challenges in effectively promoting applications across multiple environments and deployment targets. To address this, the article suggests combining the advantages of CI/CD and GitOps with adaptable models for more efficient application deployment.

K8s Beginner’s Guide: Fundamentals and Best Practices of Container Orchestration

This article provides a detailed introduction to the basics of K8s, aimed at beginners in container orchestration, helping them understand how to effectively manage and scale containerized applications. It delves into key K8s concepts such as Pods, Services, and Deployments, explains the architecture and core components of K8s, and offers best practices for resource management and scaling. Through this article, readers can learn how to leverage K8s for automated deployment, scaling, and management of containerized applications, simplifying infrastructure complexity and allowing developers and DevOps teams to focus more on software development.

What’s new in cloud native

OpenTofu 1.9.0 Released: New Features, Performance Enhancements, and Cross-Region Deployment Support

Recently, OpenTofu 1.9.0 was officially released, bringing several long-awaited features, including support for provider iteration (for_each), simplifying cross-region or multi-region deployments. It also introduces the -exclude flag, improves early evaluation, encryption, AzureRM, and HTTP backend performance, and adds multiple new CLI options. Following the release, OpenTofu’s registry traffic surged, and GitHub downloads significantly increased. OpenTofu Search (Beta) has indexed documentation for over 4,000 providers and 20,000 modules, with JetBrains and VS Code also starting to support OpenTofu. Future versions will continue to focus on community needs and add more features.

DLRover Becomes LF AI & Data’s Latest Incubation Project

DLRover is the latest incubation project of the LF AI & Data Foundation, supported by Ant Group, aiming to redefine distributed training of large-scale AI models. DLRover automates complex training processes, allowing developers to focus on model architecture innovation without the technical challenges of hardware acceleration and distributed execution. Its core features include high fault tolerance, rapid checkpoint recovery, automatic resource scaling, and strong scalability, fully supporting PyTorch and TensorFlow to optimize training efficiency.

About KubeSphere

KubeSphere is an open source container platform built on top Kubernetes with applications at its core. It provides full-stack IT automated operation and streamlined DevOps workflows.

KubeSphere has been adopted by thousands of enterprises across the globe, such as Aqara, Sina, Benlai, China Taiping, Huaxia Bank, Sinopharm, WeBank, Geko Cloud, VNG Corporation and Radore. KubeSphere offers wizard interfaces and various enterprise-grade features for operation and maintenance, including Kubernetes resource management, DevOps (CI/CD), application lifecycle management, service mesh, multi-tenant management, monitoring, logging, alerting, notification, storage and network management, and GPU support. With KubeSphere, enterprises are able to quickly establish a strong and feature-rich container platform.

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