Best of Kubernetes — July 2024

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Article
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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5
2
Article
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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3
Article
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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4
Article
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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5
Article
Javarevisited·2y
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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Article
Community Picks·2y
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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Article
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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8
Article
ITNEXT·2y
5 Advanced Kubernetes Operators Every DevOps Engineer Should Know About
Kubernetes Operators automate and streamline cluster management by extending Kubernetes capabilities. Advanced operators handle complex tasks, making them essential for efficient management. Operators work by using custom resources and controllers to manage applications and ensure the desired state matches the actual state. Key examples include the CloudNativePG Operator for PostgreSQL, Jaeger Operator for distributed tracing, Argo CD Operator for GitOps, Prometheus Operator for monitoring, and Strimzi Operator for managing Apache Kafka clusters. The Operator Lifecycle Manager simplifies installation and updates of operators, enhancing system reliability and performance.
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Article
Community Picks·2y
Introduction to Microservices with .NET 8
Explore the fundamental concepts of microservices with .NET 8, including Clean Architecture principles, design, development, and deployment of microservices. Learn about scalability, maintainability, flexibility, resilience, and faster deployment benefits, with practical examples like e-commerce platforms and inventory management systems.
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10
Article
Product Hunt·2y
KubeNodeUsage - Kubernetes Node Usage Visualizer - Terminal App Built on GO
KubeNodeUsage is a terminal application built with Go that visualizes Kubernetes node usage. It is an open-source developer tool featured on GitHub and launched for the first time on July 16th, 2024.
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Article
Spacelift·2y
What are Blue Green Deployments in Kubernetes?
Blue-green deployments in Kubernetes involve running two versions of an application side-by-side, with one serving production traffic while the other undergoes testing. This deployment strategy enhances safety by allowing thorough testing before promoting new versions to production. Implementing blue-green deployments can be done manually using Kubernetes Services or through tools like Argo Rollouts and Flux CD. Although beneficial in terms of safety and rollback capabilities, the approach can be resource-intensive and costly. Alternatives such as canary or rolling updates may be more suitable depending on specific requirements.
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Article
Faun·2y
GitOps: Argo CD vs Flux CD
GitOps combines Git and Operations to apply continuous deployment to cloud-native applications using Git as the single source of truth for infrastructure and applications. Benefits include consistency, traceability, security, faster recovery, and improved developer experience. Argo CD and Flux CD are popular tools for implementing GitOps, with step-by-step installation guides provided for both. Best practices include separating build and deployment processes, handling secrets carefully, and using tools like Kustomize and Helm to simplify Kubernetes configurations.
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Video
DevOps Toolkit·2y
Transform Your Terminal: 3 Must-Have Zsh Plugins!
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Article
ITNEXT·2y
10 Essential Kubernetes Tools You Didn’t Know You Needed
Kubernetes, celebrating its 10th anniversary, has become a cornerstone of the cloud-native ecosystem. The latest version, Kubernetes 1.30, brings new features and improvements. This post highlights ten lesser-known but essential tools that can improve your Kubernetes experience, including Popeye for configuration issues detection, KUTTL for testing, Kubescape for security screening, Mirrord for remote development, Kube-linter for linting, k3d for cluster provisioning, Kubeshark for network observability, kubectl-tree for visualizing resource hierarchies, Flux for GitOps, and Kubecost for cost management. These tools address specific challenges and help optimize and secure Kubernetes deployments.
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Article
Nick Janetakis·2y
Using Curl to Create a Telnet Connection
Learn how to use curl to create a telnet connection, which can be useful for testing TCP services in environments where telnet or specific CLI tools are unavailable. The guide includes examples of successful connections and troubleshooting failed ones, along with integration scenarios in Kubernetes and Docker Compose setups. An accompanying demo video provides further insights and practical demonstrations.
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Article
ByteByteGo·2y
EP120: What do version numbers mean?
This ByteByteGo Newsletter issue covers topics like the difference between concurrency and parallelism, the meaning of version numbers using Semantic Versioning (SemVer), a free AI tool to help job seekers, and a brief introduction to Kubernetes and its components. Additionally, there's an overview of essential cybersecurity concepts and defense mechanisms.
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Article
Spacelift·2y
Docker Swarm vs. Kubernetes [Feature & Use Case Comparison]
Docker Swarm and Kubernetes are popular tools for orchestrating container deployments across distributed environments, offering features like high availability, container scaling, and automated service discovery. While Docker Swarm is integrated with Docker and suitable for smaller applications due to its simplicity, Kubernetes provides a broader feature set designed for complex, large-scale deployments. Kubernetes supports advanced scheduling, auto-scaling, and robust security controls, but comes with a steeper learning curve. Each tool has its own strengths, making the choice dependent on specific use cases and requirements.
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18
Article
Faun·2y
Top 10 Kubernetes Tools You Can Use In 2024
Explore the top 10 Kubernetes tools to use in 2024, which enhance cluster management, monitoring, security, and deployment in the Kubernetes ecosystem. Tools include Kubectl, Helm, Kustomize, Rancher, Kubernetes Dashboard, Lens, Flux, Kubecost, Amazon EKS, and Google GKE. These tools bridge gaps in Kubernetes functionality, integrate smoothly with DevOps processes, and simplify activities like provisioning clusters, workload monitoring, and cost management.
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Video
Fireship·2y
How to self-host and hyperscale AI with Nvidia NIM
Nvidia NIM allows users to self-host and scale AI models using overpowered GPUs like the H100. These models are containerized and include essential APIs for inference and data management, which are deployable on Kubernetes. The tool supports various popular AI models and can be used in different environments, including cloud and local setups. It simplifies the scaling process, drastically reducing development time and making advanced AI accessible even for smaller developers.
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20
Article
Zalando·2y
Node.js and the tale of worker threads
A Node.js service faced performance issues due to improper handling of worker threads, which caused high resource consumption and server instability within a Kubernetes environment. By spawning multiple workers per CPU core instead of per allocated resource, and aggressively restarting them on errors, a positive feedback loop overwhelmed both the campaign and translation services. Investigation revealed that limiting worker threads and proper resource allocation could resolve the issue, highlighting the importance of optimized worker management and enhanced observability in production environments.
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Article
ITNEXT·2y
Deploy Flexible and Custom Setups with Anything LLM on Kubernetes
This guide walks through deploying Anything LLM on Kubernetes, utilizing different setups involving OpenAI, Azure AI, and Ollama. It highlights the challenges companies face with data privacy and compliance while using cloud services like OpenAI. The guide provides step-by-step instructions for deploying a Retrieval-Augmented Generation (RAG) solution, configuring Kubernetes and Helm, and integrating various components such as embedders and vector databases. Each setup is compared based on performance, and practical examples are provided to help integrate these components. Major challenges in enterprise deployment and solutions to address them are also discussed.
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Article
ITNEXT·2y
Terminating Elegantly: A Guide to Graceful Shutdowns
Graceful shutdowns prevent data loss and maintain system stability during the termination of software services. This guide explains how to implement graceful shutdowns in Go applications running on Kubernetes. It covers handling Unix system signals, setting up a test environment with Redis, deploying services on Kubernetes, and ensuring all requests are processed before termination. Techniques include using Go's signal package and context for managing shutdown signals, enhancing server functionality, and optimizing resource management.
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Article
ITNEXT·2y
Database Migrations with Go and Kubernetes
Deploying applications with a database layer often requires database migrations. Goose and migrate are tools that facilitate this process. Containerizing migrations and tagging Docker images with semantic versioning integrates well into deployment pipelines. In Kubernetes, running migrations using initContainers is preferred, offering a snapshot of the latest database state and reducing downtime. However, managing multiple pods running migrations can be handled with leader election among initContainers.
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24
Article
Shaaf·2y
Angular TodoMVC with Spring boot backend, deploy to Kubernetes
The post guides you through building a Spring Boot application with a TodoMVC Angular front-end and deploying it on Kubernetes using the JBoss Web Server Operator. It covers defining the Todo entity with JPA annotations, implementing the TodoController for CRUD operations, and extending JpaRepository for database interactions. Deployment steps include creating a Docker image, configuring H2 and PostgreSQL databases, and deploying on OpenShift. Detailed instructions for running the app locally, building the Docker image, and pushing it to a repository are provided.
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Article
Community Picks·2y
Maybe You Do Need Kubernetes
Theo’s strategy of choosing fast-to-ship technologies like Next.js and Firebase works well for quick development. However, it requires a switch to more scalable solutions or expensive third-party services as you grow. This approach might not suit employees in larger tech companies, who should focus on mastering hard, in-demand skills like Kubernetes to be indispensable and highly paid. Embrace challenging technologies to stand out in your career.
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