Best of Kubernetes — September 2024

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    Article
    Avatar of devtronDevtron·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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    Article
    Avatar of communityCommunity 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.

  3. 3
    Article
    Avatar of platformaticPlatformatic·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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    Article
    Avatar of devtronDevtron·2y

    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.

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    Article
    Avatar of quastorQuastor Daily·2y

    Introduction to Chaos Engineering

    Chaos Engineering involves applying the scientific method to distributed systems to discover potential failure modes by intentionally introducing disruptions. This practice helps increase confidence in system reliability. Key principles include running experiments in production, minimizing the blast radius, and automating experiments. Chaos Engineering differs from Fault Injection Testing by uncovering unknown unknowns rather than testing specific conditions. Examples from companies like Facebook, LinkedIn, Audible, Twitch, and Target illustrate varied implementations and benefits.

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    Article
    Avatar of javarevisitedJavarevisited·2y

    Top 10 Resources to Master Kubernetes in 2024

    Mastering Kubernetes is crucial for IT professionals as it is the leading container orchestration platform. This post shares the top 10 resources for learning Kubernetes in 2024, including official tutorials, online courses from platforms like Coursera and Udemy, and essential books such as 'Kubernetes — Up and Running'. These materials cater to beginners and intermediate users, offering hands-on labs, interactive content, practical examples, and comprehensive guides for a well-rounded understanding of Kubernetes.

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    Article
    Avatar of last9Last9·2y

    Top 10 Platform Engineering Tools in 2024

    Platform engineering is revolutionizing software development and operations by providing robust, scalable, and user-friendly platforms. This guide outlines 10 top tools in 2024, such as Kubernetes, Terraform, and Argo CD, which simplify workflows, improve collaboration, and increase efficiency. Distinguishing platform engineering from DevOps and SRE, it focuses on building technical foundations for efficient development. Key tools include infrastructure provisioning, CI/CD pipelines, and monitoring solutions that enhance developer productivity and system reliability.

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    Video
    Avatar of youtubeYouTube·2y

    Node.js vs Golang: Performance Benchmark in Kubernetes #210

    The performance benchmark compares Node.js with Go by deploying web applications to a Kubernetes cluster on AWS using EC2 instances. The tests measure CPU and memory usage, latency, CPU throttling, network pressure, and application availability. Go significantly outperforms Node.js, handling around 70,000 requests compared to Node.js's 9,000 requests before performance degrades. Additional tests include inserting data into a Postgres database, revealing similar latency but higher resource usage for Node.js.

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    Article
    Avatar of hnHacker News·2y

    CPU Throttling for containerized Go applications explained

    CPU throttling can significantly affect containerized Go applications, leading to increased latencies and service interruptions. The issue arises because Go's runtime doesn't recognize the CPU limits set by Kubernetes, causing the application to overconsume resources and get throttled. Solutions include setting the GOMAXPROCS variable appropriately and using tools like automaxprocs to align Go's runtime with Kubernetes' CPU quotas. Understanding Kubernetes' Completely Fair Scheduler (CFS) and correctly configuring resource limits and requests are crucial to mitigating throttling issues.

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    Article
    Avatar of faunFaun·2y

    Monitoring in Kubernetes: Best Practices

    As Kubernetes adoption rises, effective monitoring is crucial to maintain the health and performance of containerized applications. The post outlines the importance of monitoring, explaining differences between monitoring and observability, and offers best practices including focusing on Four Golden Signals. It highlights the dynamic nature of Kubernetes, necessitating real-time monitoring to manage resource utilization, prevent outages, and ensure security. It also emphasizes the integration of monitoring into CI/CD pipelines and adopting a culture of observability for long-term success.

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    Article
    Avatar of communityCommunity Picks·2y

    Introducing KubeVision

    Akuity aims to enhance engineer productivity by maximizing Kubernetes usage, introducing KubeVision. The latest release, Kargo v0.8.0, advances the GitOps promotion tool to eliminate bespoke scripts. CI/CD is emphasized as critical in DevOps for automating workflows from code commit to deployment.

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    Video
    Avatar of youtubeYouTube·2y

    Zap (Zig) vs Actix (Rust): Performance Benchmark in Kubernetes #207

    This post benchmarks the performance of Rust's Actix and Zig's Zap frameworks when deployed in Kubernetes. The focus is on CPU and memory usage, client latency, and request handling efficiency. The comparison reveals that Rust uses fewer resources and handles more requests before failing. Detailed graphs illustrate the performance metrics, highlighting significant differences in CPU and memory consumption.

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    Video
    Avatar of youtubeYouTube·2y

    Go (fiber) vs. Go (stdlib) vs. Go (gin): Performance Benchmark in Kubernetes

    The post compares the performance of Golang HTTP frameworks—Fiber, Gin, and the Golang standard library—within a Kubernetes environment. By deploying the applications on an AWS cluster and measuring their CPU, memory usage, client-side latency, and requests per second, the test finds that Fiber performs best in terms of resource usage and latency. However, the standard library is recommended for general use due to its reliability and broad suitability for most applications.

  14. 14
    Article
    Avatar of devopsdigestDevOps Digest·2y

    Golang Web App (DevOps Project)

    Announcing the completion of a Golang web application project that incorporates modern DevOps practices. Key achievements include designing a web app with Golang, containerizing it with a multi-stage Dockerfile, creating Kubernetes manifests with Kustomize, integrating continuous deployment using Jenkins, and deploying on Google GKE via ArgoCD using GitOps methodology.

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    Article
    Avatar of strongdmstrongdm·2y

    15 Kubernetes Security Best Practices in 2024

    Kubernetes has transformed software development but requires rigorous security practices to manage its complexities. Key best practices include implementing Role-Based Access Control (RBAC), using network policies, securing secrets management, enforcing immutable container images, continuously scanning for vulnerabilities, and adopting a Zero Trust Architecture. Other steps include implementing least privilege access, monitoring and auditing activities, using multi-factor authentication, regularly updating clusters, hardening configurations, encrypting data, establishing backup procedures, applying Pod Security Standards, and educating teams on security protocols. Utilizing a Zero Trust PAM solution can facilitate the implementation of these practices effectively.

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    Video
    Avatar of youtubeYouTube·2y

    Java (Quarkus) vs. Go (Golang): Performance Benchmark in Kubernetes

    This post benchmarks the performance of Java and Golang applications running on Kubernetes, focusing on CPU and memory usage, application startup times, and latency measurements under various scenarios. Java applications use the Quarkus framework, while Golang uses the Fiber framework. The tests include REST API endpoints, S3 file uploads, and database operations. Overall, Go's application showed lower latency and CPU usage, though Java's memory usage was comparable under load. Compressed image sizes and startup times were also compared, with Go performing better in these aspects.

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    Article
    Avatar of devtronDevtron·2y

    Understanding Kubernetes Commands and Arguments

    Kubernetes uses commands and arguments to control container behavior within pods. These fields allow overriding the default commands set during the Docker image build process. Commands in Kubernetes relate to Docker's Entrypoint, while arguments correspond to CMD. This post covers how to define commands and arguments in pod manifest files and provides practical YAML examples for various scenarios. It also discusses the importance of these fields for tasks like running startup scripts, sidecar containers, jobs, and network tests.

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    Video
    Avatar of youtubeYouTube·2y

    Rust (Actix) vs. Go (Golang): Performance Benchmark in Kubernetes (EKS)

    The post compares the performance of Rust (using the Actix framework) and Go (using the Fiber framework) in a production-ready EKS cluster on AWS. It evaluates their CPU usage, memory usage, client latency, and availability under different loads. The benchmarks include a straightforward JSON payload test and a real-world scenario involving file reads, uploads to S3, and database writes in PostgreSQL. Rust generally showed higher CPU usage and latency compared to Go. The post also discusses the importance of using Prometheus metrics such as Histograms over Summaries for scalability and accurate latency tracking.

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    Article
    Avatar of lobstersLobsters·2y

    grampelberg/kty: The terminal for Kubernetes

    kty is a terminal for Kubernetes that simplifies cluster management by allowing users to log in with GitHub or Google accounts. It offers a TUI-based dashboard to interact with pods, view logs, forward traffic, and transfer files, all without requiring kubectl. kty is written in rust and leverages OpenID providers and Kubernetes RBAC for secure access.

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    Video
    Avatar of youtubeYouTube·2y

    Actix (Rust) vs Zap (Zig) vs Stdlib (Zig): Performance Benchmark in Kubernetes #208

    The post shares updated performance benchmark results comparing the Actix HTTP framework for Rust with the Zap framework and a pure implementation in Zig. Using a production-ready EKS cluster, the tests measure CPU and memory usage, latency, and request handling capacity under heavy load. The results show Rust leading in request handling at 160,000 requests per second, followed by Zap at 127,000, and the pure Zig implementation showing competitive performance but ultimately lagging at higher loads.

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    Article
    Avatar of devtronDevtron·2y

    Kubernetes Deployment Strategies - The Ultimate Guide

    Deploying applications with minimal disruption is crucial for any organization. Kubernetes offers several deployment strategies, such as Rolling Updates and Recreate, to handle application updates. Advanced techniques like Blue-Green, Canary, A/B Testing, and Shadow Deployments further ensure smooth updates and thorough testing before full rollouts. Each strategy has its use cases and benefits, tailored to various application scales and requirements.

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    Video
    Avatar of communityCommunity Picks·2y

    Django (Python) vs Stdlib (Go): Performance Benchmark in Kubernetes #209

    The post compares the performance of a Django (Python) application and a Go application using the standard library in a Kubernetes environment. It examines key metrics such as CPU usage, memory usage, availability, latency, and network pressure under various loads. The tests include scenarios like returning JSON responses and uploading files to S3 while saving metadata to a PostgreSQL database. Go generally shows lower latency and higher request handling capacity compared to Django, but both have specific strengths and weaknesses under different conditions.

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    Article
    Avatar of castaiCast AI·2y

    Kubernetes Cost Optimization: Reduce Your Cloud Bill

    Running applications on Kubernetes can lead to high costs if not managed properly. Common cost traps include overprovisioning, improper scaling, selecting wrong cloud instances, and cost tracking issues. Monitoring key metrics such as daily spend, resource utilization, and historical cost allocation can help control expenses. Additionally, automation tools can significantly improve cost efficiency and allow teams to focus on higher-value tasks.

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    Article
    Avatar of communityCommunity Picks·2y

    Mastering Node Affinity in Kubernetes

    Mastering Node Affinity in Kubernetes is key for optimizing pod placement within clusters to ensure efficient resource utilization and performance. Node Affinity influences scheduling by guiding pod placement based on specific node attributes, offering more granularity compared to Node Selector. Types of Node Affinity include preferred and required rules, allowing for varying degrees of flexibility. Inter-Pod Affinity and Anti-affinity manage the proximity of pods to each other, enhancing performance and fault tolerance. Using these mechanisms can lead to significant operational efficiencies and cost savings.

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    Article
    Avatar of communityCommunity Picks·2y

    Keycloak with istio and Oauth2-Proxy.

    The post guides you through setting up Istio with Keycloak and OAuth2 Proxy to add authentication and authorization to a microservices architecture. Keycloak serves as an identity provider and OAuth2 authorization server, while OAuth2 Proxy handles OAuth2 authentication flows, converting them into HTTP headers for backend services. The tutorial also covers using JWTs for stateless verification, configuring Keycloak and OAuth2 Proxy, and setting up Istio policies to protect services like a test pod. Finally, it demonstrates testing the implementation to ensure secure access.

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