Best of Kubernetes — 2024
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Javarevisited·2y
Most-Used Distributed System Design Patterns
Distributed system design patterns offer architectural solutions and best practices for developing distributed applications. This post discusses widely-used patterns like Ambassador for proxy tasks, Circuit Breaker to prevent cascading failures, CQRS for separating read and write databases, Event Sourcing for recording events, Sidecar for managing cross-cutting concerns, Leader Selection for electing a single node leader, Publisher/Subscriber for asynchronous communication, Sharding for data distribution, Bulkhead to isolate system components, and Cache-Aside for optimized caching strategies. Examples of tools and implementations for each pattern are provided to illustrate their applications and benefits.
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ByteByteGo·2y
EP123: What is a Load Balancer?
A load balancer distributes network or application traffic across multiple servers to ensure availability, reliability, and performance. There are different types of load balancers, including hardware, software, cloud-based, Layer 4, Layer 7, and Global Server Load Balancing. Load balancers improve scalability and help manage large-scale applications efficiently. The post also touches on various design patterns for Kubernetes and highlights a sponsored service by QA Wolf for improved QA cycles.
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Hacker News·2y
Talos Linux
Talos Linux is a minimal, secure, and immutable operating system designed for Kubernetes. It supports multiple platforms including cloud, bare metal, and virtualization. All system management is performed through a secure API with mutual TLS authentication, eliminating the need for SSH or console access. Talos follows a hardened, immutable infrastructure approach, runs entirely in memory, and consistently delivers the latest stable versions of Kubernetes and Linux.
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The Architecture Behind A One-Person Tech Startup
The post discusses the architecture and tools used in a one-person tech startup, including Kubernetes on AWS, automatic DNS and SSL setup, load balancing, automated rollouts and rollbacks, horizontal autoscaling, caching, app administration, scheduled jobs, loggin and monitoring, and more.
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EP133: API vs SDK
Learn the distinctions between APIs and SDKs, their purposes, and when to use each. Discover Kubernetes' popularity, Terraform workflows for turning code into cloud infrastructure, essential HTTP status codes, and common deployment strategies. Additionally, explore tools like QA Wolf for optimizing QA cycles and New Relic for monitoring AI chatbot performance.
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ITNEXT·2y
Kubernetes Configuration in 2024
Helm and Kustomize remain the most popular Kubernetes configuration tools in 2024, integrated with various CI/CD tools and Infrastructure as Code (IaC) systems. Other notable tools include Kompose, cdk8s, Tanka, Kapitan, Ytt, and several others. The article reviews their popularity and integration within the Kubernetes ecosystem, addressing challenges such as complexity, YAML syntax issues, and the adoption of general-purpose programming languages for configuration generation. Innovations and maturity in tools like Helm and Kustomize, along with the rise of GitOps, have significantly influenced Kubernetes configuration management.
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Devtron·2y
Kubernetes Architecture: The Ultimate Guide
Kubernetes is an open-source container orchestration tool used by millions of companies to manage and scale applications across multiple clusters worldwide. It consists of various core components such as the API Server, ETCD, Scheduler, Controller Manager, and Cloud Controller Manager. Worker nodes, kubelets, kube-proxy, and container runtimes are essential for the functioning of Kubernetes. The system is highly extensible, supporting add-ons like CNI, CoreDNS, Metrics Server, and Kubernetes Dashboard to enhance its capabilities.
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gitconnected·2y
Why Use GoFr for Golang Backend?
GoFr is a Golang framework designed for accelerated microservice development. It offers built-in observability tools such as health-check and heartbeat URLs, metrics, and structured logging. GoFr supports multiple data sources including MySQL, PostgreSQL, and MQTT, and simplifies REST API design, logging, metrics, tracing, and CORS configuration. Its compatibility with Kubernetes and minimal code for route registration enable developers to focus on business logic while ensuring the application is production-ready.
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Awesome Go·2y
How I sent 500 million HTTP requests to 2.5 million hosts
An individual leveraged Go's simplicity and concurrency to send 500 million HTTP/1.1 requests to 2.5 million hosts for an ethical hacking use case. By utilizing Kubernetes for horizontal scaling and optimizing both code and libraries, they achieved this massive scale efficiently. Key optimizations included pre-resolving DNS, hand-crafting HTTP requests, and using the fasthttp library.
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Last9·1y
Top 10 Docker Alternatives: Cost, Performance & Use Cases
The post explores various Docker alternatives, evaluating their costs, performance, and use cases. It covers tools like Podman, Kubernetes, Vagrant, Buildah, LXC/LXD, Singularity, and Nerdctl, detailing features, pros, and cons of each. The content also discusses Docker's current focus on local development and testing, the shift towards Kubernetes in production environments, and the growing popularity of alternative container runtimes and registries.
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Community Picks·2y
Kubernetes and Docker Container Management Software
Portainer is a versatile container management software designed for fast, secure, and user-friendly deployment of Docker and Kubernetes environments. It supports multi-cluster and multi-device management, provides centralized access and policy management, and offers a unified user experience. Being self-hosted, Portainer keeps operations secure within your network.
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YouTube·2y
Complete Kubernetes Course - From BEGINNER to PRO
This complete Kubernetes course, designed by Sid from DevOps Directive, is intended for software engineers seeking to enhance their DevOps and infrastructure skills by mastering Kubernetes. The course covers both theoretical and practical aspects, including deploying demo applications across multiple environments. The course provides code samples in a companion GitHub repository and offers interactive modules via a platform and a Discord community. Key prerequisites include familiarity with web applications, basic shell commands, cloud infrastructure knowledge, and intermediate containerization skills. The course broadly covers setting up development environments, clustering, resource types, Helm, debugging applications within Kubernetes, and automation techniques.
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DEV·1y
Tracking down high memory usage in Node.js
The post discusses a developer's approach to tracking and fixing high memory usage in Node.js applications. It covers understanding the code, replicating the issue, capturing memory profiles from staging services, and verifying the fix. The result was a significant reduction in memory usage and better service reliability.
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Lobsters·2yTalos Linux
Talos Linux is a minimal, secure, and immutable operating system designed specifically for Kubernetes environments. It supports various platforms including cloud, bare metal, and virtualization. The system is managed entirely via an API, eliminating the need for SSH, shell, or console access. Talos Linux enhances security through mutual TLS authentication, immutable infrastructure, and adherence to best practices set by NIST and CIS. It also ensures predictability and evolvability by providing atomic updates and the latest stable versions of Kubernetes and Linux.
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10 Best DevOps Certifications for Experienced IT Professionals in 2024
Experienced IT professionals looking to advance their careers in DevOps can aim for various certifications in 2024. Top certifications include AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, Google Cloud Professional DevOps Engineer, Docker Certified Associate, and Kubernetes Certified Administrator. These certifications validate skills in various DevOps practices and tools, such as continuous integration, continuous delivery, automation, and container orchestration. Resources for preparing for these certifications, including courses on platforms like Udemy and Coursera, are also recommended.
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Spacelift·1y
K3s vs K8s: Differences, Use Cases & Alternatives
K3s is a lightweight, production-ready Kubernetes distribution tailored for resource-constrained environments such as IoT, edge computing, and local development. It simplifies deployment through a single binary, uses less memory and CPU, and includes default tools like containerd and Traefik. While K3s is easier to set up and maintain compared to standard Kubernetes (K8s), it may lack some advanced features and security options. Managed cloud services like Amazon EKS and Google GKE offer alternative options for more complex, large-scale environments.
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TechWorld with Nana·1y
Complete DevOps Roadmap 2025 - Master these 4 Levels!
DevOps is becoming an essential skill in the IT industry, especially with unique integrations of AI impacting various roles. Mastering DevOps involves understanding operating systems, Git for version control, package management tools, containerization tools like Docker, cloud infrastructure basics, Kubernetes for orchestration, and more advanced tools and practices such as Infrastructure as Code, Python scripting, and monitoring with tools like Prometheus. Learning these in the right order is crucial to effectively building and managing end-to-end DevOps processes.
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Wait, What’s GitOps?
GitOps is a modern way to manage cloud-native systems using Git as version control for infrastructure. Argo CD, Flux, and Terraform are popular tools for implementing GitOps. Setting up GitOps with Argo CD involves deploying it to a Kubernetes cluster, connecting it to a Git repository, and integrating with a CI pipeline.
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Platformatic·2y
Introducing the Node Application Platform
Platformatic has introduced the Node Application Platform designed to simplify the management of Node.js applications on Kubernetes. This includes Watt, a Node.js application server that automates multithreading and handles tasks like monitoring and logging. Additionally, Platformatic's Command Center provides a unified dashboard for managing Node.js applications, featuring an intelligent autoscaler to optimize performance and handle traffic spikes. These tools aim to reduce development time, enhance application performance, and improve the developer experience.
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Deploying a React Application to Production: A Comprehensive Guide
Deploying a React application to production involves several methods, including using Vercel for simplicity, virtual machines for customization, CDNs for performance, and Kubernetes for scalability. Each method has distinct advantages, such as Vercel's seamless environment and Kubernetes' powerful orchestration features. The guide covers examples for each deployment option to help you choose the right approach based on your project's needs.
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Cast AI·2y
Traefik vs. NGINX: Comparison and Practical Guide
Traefik and NGINX are prominent load balancers and reverse proxies that manage web traffic efficiently. Traefik, launched in 2016, is a cloud-native solution with features like auto-discovery and microservice support, while NGINX, a high-performance web server since 2004, offers reliability and flexibility. Traefik excels in dynamic, containerized environments with automatic configuration, whereas NGINX provides granular control and versatility. The choice between them depends on your specific needs, such as scalability, control, and integration requirements.
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What is Jenkins? A Quick Guide for CI/CD with Jenkins
Jenkins is an open-source tool used to manage Continuous Integration (CI) in the software development lifecycle. It automates tasks such as code builds, tests, security scans, and Docker image builds. A Jenkins pipeline, defined by either a Jenkins file or Groovy script, orchestrates these stages. The Jenkins Controller directs tasks to Jenkins Agents, which execute them. Jenkins offers extensive plugin support, making it highly integrative and customizable, although there are challenges such as a steep learning curve and resource intensity. Notably, Jenkins is recommended primarily for CI rather than continuous deployment (CD), where tools like Devtron can provide better support.
