Best of DevOps — June 2025

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   Article

   Javarevisited·49w

   How I Finally Understood Docker and Kubernetes

   A developer shares their journey from confusion to understanding Docker and Kubernetes by focusing on practical problems rather than technical jargon. Docker is explained as a way to package applications with their dependencies into portable containers, while Kubernetes is presented as a system for managing multiple containers in coordination. The author emphasizes learning through hands-on experience with simple projects, starting with single containers and gradually building up to multi-container systems with deployments and services.

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   Community Picks·48w

   I Was So Angry, I Built My Own

   A developer built a custom project management system after frustration with existing tools. The solution features markdown-based documentation, multi-dimensional estimation using Value/Penalty/Effort/Risk metrics instead of story points, integrated Architecture Decision Records and Post-Mortems, automated DORA metrics tracking from production deployments, and enhanced Kanban boards with built-in cycle time measurement. The system leverages large context window AI models for generating documentation and maintaining consistency across components.

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   Article

   Devtron·47w

   CI/CD Best Practices for Microservice Architecture

   Traditional CI/CD pipelines fail to scale with microservices architecture. Each microservice requires isolated pipelines with independent versioning, progressive deployment strategies like canary and blue/green deployments, proper access controls, and comprehensive observability. Key principles include service-level pipeline isolation, semantic versioning, GitOps workflows, role-based access control, standardized templates, security scanning, and tracking DORA metrics. Platforms like Devtron help teams achieve 40% MTTR reduction, 3x deployment frequency increase, and faster service onboarding through Kubernetes-native CI/CD automation.

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   Article

   Awesome Go·47w

   7 Docker Compose Tricks to Level Up Your Development Workflow

   Seven advanced Docker Compose techniques to improve development workflows: using profiles to conditionally run services, managing environment variables with .env files, optimizing builds with caching, implementing healthchecks for service dependencies, customizing container names and logging, using named volumes for data persistence, and extending compose files for modularity. Each technique includes practical examples with code snippets and explanations of benefits like resource savings, faster builds, and better reliability.

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   Article

   Last9·45w

   11 Best Log Monitoring Tools for Developers in 2025

   A comprehensive comparison of 11 log monitoring tools for developers in 2025, covering solutions from simple centralized logging (Papertrail) to enterprise-scale platforms (Datadog, Dynatrace). The guide evaluates each tool's strengths, limitations, pricing, and ideal use cases, while providing practical advice on choosing the right solution based on team size, log volume, and technical requirements. Key tools covered include Last9, Better Stack, Grafana Loki, Elastic Stack, and others, with emphasis on real-world implementation considerations like structured logging, query performance, and cost optimization.

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   Article

   Community Picks·45w

   Top 5 Monorepo Tools for 2025

   Compares five leading monorepo tools for 2025: Bazel (Google's production-grade polyglot build system), Gradle (JVM-focused multi-project builds), Turborepo (JavaScript/TypeScript optimized by Vercel), Pants (multi-language with automatic dependency inference), and Nx (comprehensive JavaScript framework with smart caching). Each tool targets different use cases - from enterprise polyglot codebases to frontend-heavy stacks. The guide emphasizes choosing based on language ecosystem, team size, and CI requirements rather than raw performance metrics, while acknowledging that monorepos require significant tooling investment to realize productivity gains.

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   Article

   System Design Codex·45w

   Kubernetes Scaling Strategies

   Kubernetes offers three main scaling strategies for containerized applications: Horizontal Pod Autoscaling (HPA) increases or decreases pod replicas based on resource usage like CPU and memory; Vertical Pod Autoscaling (VPA) adjusts individual pod resource limits and requests; and Cluster Autoscaling manages the number of worker nodes in the cluster. HPA works best for stateless applications, VPA suits workloads with variable resource needs, and Cluster Autoscaler ensures infrastructure scales with demand. Each strategy addresses different scaling needs and can be combined for comprehensive auto-scaling solutions.

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   Article

   KodeKloud's Squad·49w

   CI/CD: GitOps vs DevOPs Approach

   GitOps represents an evolution in CI/CD practices that centralizes Git as the single source of truth for both infrastructure and application configurations. Unlike traditional DevOps approaches, GitOps uses declarative, version-controlled infrastructure that automatically syncs with clusters, eliminating manual kubectl commands. This approach provides better auditability, reproducibility, and safety by making Git merges equivalent to deployments, while reducing human error and increasing automation visibility.

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   Article

   Nick Janetakis·48w

   Networking Basics with Docker Compose — Nick Janetakis

   Docker Compose automatically creates networks and DNS entries for services, enabling containers to communicate using service names like 'web:8000' or 'db:5432'. Each service gets assigned an IP address on a bridge network with automatic DNS resolution. The post demonstrates how to inspect network configurations, understand IP addressing, use custom aliases, and leverage the gateway IP for host communication through practical examples with curl requests between containers.

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    Article

    freeCodeCamp·47w

    How to Debug CI/CD Pipelines: A Handbook on Troubleshooting with Observability Tools

    A comprehensive guide to implementing observability in CI/CD pipelines using free and open-source tools. Covers setting up Grafana Loki and lightweight ELK stacks for log aggregation, creating unified logging strategies with correlation IDs, writing advanced LogQL and KQL queries for troubleshooting, integrating Prometheus metrics with logs, and building Grafana dashboards. Includes practical examples for debugging common pipeline failures like build errors, dependency issues, and flaky tests across GitHub Actions, Jenkins, and GitLab.

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    Article

    The New Stack·48w

    Why 90% of Microservices Still Ship Like Monoliths

    Most organizations with microservice architectures still use monolithic release processes, batching changes together for testing and deployment. This approach negates the core benefits of microservices like independent deployments and team autonomy. The main culprits are expensive integration tests and limited shared environments. Sandbox environments offer a solution by enabling individual change testing against real dependencies without full infrastructure duplication, dramatically reducing deployment time from days to hours while improving code quality and developer productivity.

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    Article

    freeCodeCamp·46w

    Kubernetes Networking Tutorial: A Guide for Developers

    Kubernetes networking enables containerized workloads to communicate through a flat network model where each pod gets a unique IP address without NAT. The tutorial covers core concepts including CNI plugins (Flannel, Calico, Cilium), kube-proxy for service load balancing, CoreDNS for service discovery, and network policies for security. It explains pod-to-pod, pod-to-service, and external-to-service communication patterns, along with practical troubleshooting techniques for common networking issues like unreachable pods and services.

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    Article

    Community Picks·46w

    Self-host and scale web apps without Kubernetes complexity

    Uncloud offers a simplified alternative to Kubernetes for deploying and scaling containerized applications. It enables developers to take Docker Compose apps to production with features like zero-downtime deployments, automatic HTTPS, and cross-machine scaling using simple command-line operations. The platform focuses on reducing complexity while maintaining reliability for self-hosted applications.

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    Video

    Christian Lempa·47w

    NEW GitLab CI CD components explained

    GitLab 17 introduced CI/CD components, a feature that enables creating reusable pipeline configurations across projects. Components offer advantages over templates including catalog listing, version control, and centralized updates. The tutorial demonstrates creating components in a dedicated group, defining input parameters and job logic, releasing versions through tags, and using components in project pipelines. Practical examples include Terraform infrastructure automation, Docker deployment to remote servers, and Ansible playbook execution, all triggered by file changes with automatic validation and deployment workflows.

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    Article

    The PayEng Playbook·48w

    Stripe Deploys 1,000 Times A Day And You Don't Deploy On Fridays

    Stripe deploys over 1,000 times daily with 99.999% uptime, averaging one deployment per engineer every 3 days. The article challenges the common practice of avoiding Friday deployments, arguing that speed is the primary competitive advantage for software companies. It contrasts Microsoft's Zero Defects approach with eBay's Velocity Initiative, which achieved 5x faster deployments and 3x lower failure rates. The key insight is that quality and speed reinforce each other through continuous deployment practices, enabling faster feedback loops and quicker fixes rather than trying to achieve perfection before release.

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    Video

    TechWorld with Nana·48w

    Complete Cloud Engineer Roadmap | From Beginner to Advanced

    A comprehensive roadmap for becoming a cloud engineer, starting with foundational skills like Linux, networking, and programming basics. The guide progresses through cloud concepts, core services (compute, storage, networking), infrastructure as code with Terraform, containerization with Docker and Kubernetes, CI/CD pipelines, monitoring and observability, and security best practices. Emphasizes hands-on learning through progressive projects, from deploying static websites to building complete automated deployment pipelines with proper monitoring and security controls.

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    Article

    Dev Tools·45w

    Nixopus - Simplified ServerOps

    Nixopus is an open-source server management platform currently in alpha that aims to simplify server operations. It provides an integrated terminal, TLS management, automated Docker deployments similar to Vercel, file management, team collaboration features, and monitoring capabilities all in one unified interface. The project is actively seeking community feedback and contributors.

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    Article

    Spacelift·46w

    Docker Container Logs: How to View & Manage

    Docker container logs capture stdout and stderr output from containerized applications. The docker logs command provides various options to view, filter, and follow logs including timestamps, time ranges, and tail functionality. Docker stores logs locally by default using the json-file driver, but supports external logging drivers for production environments. Best practices include using centralized logging systems, structured logging formats, and proper log rotation to prevent disk space issues.

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    TechWorld with Nana·45w

    I Analyzed 100+ DevOps Job Posts from 6 Different Countries | Skills Companies ACTUALLY Want

    Analysis of 100+ DevOps job postings across 6 countries reveals consistent skill requirements: CI/CD pipelines are fundamental, cloud platforms (AWS/Azure/GCP) are essential, Docker and Kubernetes are standard, and scripting languages (Python/Bash) are required. Junior positions need basic familiarity while senior roles demand deep expertise in automation tools like Terraform and Ansible. Security knowledge becomes crucial at senior levels. The research shows DevOps skills are globally transferable with significant salary differences between junior and senior positions.

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    Article

    freeCodeCamp·47w

    How to Configure Network Interfaces in Linux

    Network interfaces in Linux serve as connection points between the system and networks, enabling communication with other devices and the internet. The guide covers both physical interfaces (Ethernet, Wi-Fi) and virtual interfaces (loopback, bridge, tunnel), explaining how to list available interfaces using commands like `ip link show` and `ifconfig`. It demonstrates configuring static and dynamic IP addresses using NetworkManager's `nmcli` command, temporary configurations with the `ip` command, and setting up network bridges for virtualization environments. Best practices include making configurations persistent, using static IPs for servers, securing unused interfaces, monitoring network status, and keeping network packages updated to maintain system stability and security.

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    Article

    KodeKloud's Squad·48w

    🧭 Planning your 2025 DevOps & Cloud career path?

    A skill matrix guide for DevOps and cloud professionals planning their 2025 career development. Emphasizes T-shaped skills (depth in core areas plus breadth across others), highlights cloud fluency as essential across all roles, and identifies Infrastructure as Code and containers as critical for platform and DevOps engineers. Security awareness is positioned as a universal requirement, with role-specific learning prioritization recommended over trend-chasing.

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    Article

    Datadog·48w

    Announcing Go tracer v2.0.0

    Datadog releases Go tracer v2.0.0 with a simplified API, enhanced security through modular dependencies, and improved developer experience. Key changes include new import URLs using github.com instead of gopkg.in, config structs for better performance, and independent modules for integrations. A transitional v1.74.0 version allows gradual migration for large codebases, while a migration tool simplifies the upgrade process.

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    Article

    Medium·48w

    Your laptop can run a full devops stack here’s how I set mine up

    A comprehensive guide to building a complete DevOps stack locally using Docker Compose, covering Git servers (Gitea), CI/CD tools (Jenkins/Drone), monitoring (Prometheus/Grafana), and container registries. The setup eliminates cloud costs while providing hands-on experience with real DevOps tools and workflows. Includes hardware requirements, common mistakes to avoid, and practical configuration examples for running everything on a laptop.

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    Medium·45w

    Hello, I am a DevOps Engineer and I Broke Production Today.

    A DevOps engineer shares personal stories of production failures, including DNS migration issues, database credential mix-ups, and Kubernetes scheduling problems. The post emphasizes that failures are valuable learning experiences that build expertise and resilience. It advocates for implementing proper logging, monitoring, testing environments, and post-mortem processes to handle incidents effectively. The author argues that experienced engineers are defined not by avoiding mistakes, but by learning from them and building antifragile systems.

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    Spacelift·48w

    20+ Top Most Popular DevOps Platforms in 2025

    A comprehensive overview of 20+ popular DevOps platforms in 2025, including GitLab, GitHub, AWS, Kubernetes, Jenkins, and specialized tools like Spacelift for infrastructure orchestration. The guide covers key features, pricing, and use cases for each platform, helping teams choose between all-in-one solutions versus specialized tools for different DevOps lifecycle stages like CI/CD, infrastructure management, monitoring, and deployment automation.

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