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🚀 Getting Started with AWS CodeBuild: A Beginner-Friendly Guide

  • AWS CodeBuild is a fully managed build service in the cloud and part of the AWS Developer Tools suite.
  • Benefits of using CodeBuild include serverless operation, scalability, cost-effectiveness, and CI/CD pipeline integration.
  • CodeBuild uses Docker containers for running build environments and supports Ubuntu, Amazon Linux 2, and Windows Server Core.
  • A buildspec is a YAML file that instructs CodeBuild on how to run the build, defining phases like install, pre_build, build, and post_build.
  • Managing build projects with CodeBuild includes adding projects to CI/CD pipelines, creating standalone projects, and scheduling builds using AWS EventBridge or CloudWatch.
  • CodeBuild maintains security by encrypting data in transit with SSL, data at rest in Amazon S3 with Customer Managed Keys via AWS KMS, and controlling access using AWS IAM.
  • CodeBuild is a valuable build tool when used with other AWS Developer Tools like CodePipeline, suitable for both beginners and developers scaling their build processes.

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What is Site Reliability Engineering? A Beginner’s Guide

  • Site Reliability Engineering (SRE) combines software engineering and operations to ensure systems run smoothly with minimal downtime, initially developed by Google.
  • SRE principles include Service Level Indicators (SLIs) & Objectives (SLOs), Error Budgets, and Incident Management for reliability and innovation balance.
  • Tools used in SRE include Prometheus, Grafana, Datadog, ELK Stack for monitoring, Terraform, Ansible for Infrastructure as Code, and GitHub Actions, Jenkins for CI/CD.
  • Chaos Engineering tools like Gremlin, Chaos Mesh are used to validate system robustness.
  • Companies like Google, Netflix, and LinkedIn leverage SRE to enhance uptime, scalability, and developer productivity, showcasing proactive reliability management.
  • Google's SRE team ensures Google Search availability at 99.999% uptime.
  • Getting started with SRE involves studying basics, understanding monitoring tools, automating incident response, and contributing to open-source projects.
  • Continuous learning and experimentation are crucial for excelling in SRE.
  • SRE is vital in today's tech operations, promising stable and optimized production environments, becoming increasingly crucial for seamless user experiences.

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Using Claude and LLMs as Your DevOps & Platform Engineering Assistant

  • Engineers and leadership teams seek to move faster while remaining efficient and performant in the ever-changing landscape of engineering.
  • AI, particularly LLMs, offers the ability to accelerate development processes by generating code and templates efficiently.
  • Integration of AI in DevOps allows for faster progression through automation, exemplified by tools like Claude Code and GitHub Copilot.
  • Acknowledging the need to trust but verify the output of AI-generated code to ensure accuracy and effectiveness in development tasks.
  • Selecting the right tools, such as choosing the appropriate LLM and interaction point, is crucial when implementing AI in engineering workflows.
  • Utilizing prompts in tools like Cursor can facilitate the creation of templates for various tasks like setting up infrastructure components.
  • Programmatic interaction with LLMs is possible through SDKs like the Claude Code SDK, enabling developers to leverage AI capabilities in their projects.
  • While AI technology streamlines certain aspects of development, it also necessitates vigilance to ensure the accuracy and relevance of generated code.
  • The integration of AI in DevOps and Platform Engineering presents new opportunities for innovation and efficiency in software development processes.
  • Implementing AI-assisted development tools requires a balance of leveraging automation while maintaining oversight to tailor code to specific project requirements.

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Building NGINX with ngx_http_consul_backend_module via Ansible

  • Integrating dynamic service discovery into NGINX is crucial for modern microservices environments, such as with Nomad and Consul for service orchestration.
  • The ngx_http_consul_backend_module enables NGINX to query Consul at request time, eliminating the need for manual reloads when backends change.
  • Using ngx_http_consul_backend_module provides real-time results and ensures traffic is always routed to healthy instances.
  • The module allows NGINX to act as a dynamic Consul-aware load balancer, particularly beneficial for environments with frequent scaling changes.
  • Benefits include real-time service discovery, built-in health checks, automated load balancing, and no downtime for changes in service instances.
  • The Ansible role automates building NGINX with the Consul module through a structured process, including installing dependencies, downloading sources, and configuring NGINX.
  • The build process involves steps like installing required packages, downloading and extracting sources, building the Consul backend module, configuring NGINX build, and setting up NGINX as a systemd service.
  • The role ensures idempotency, making re-running the playbook safe, and provides an organized way to build NGINX with custom modules, such as the Consul backend module.
  • LiveAPI, introduced by Maneshwar, aims to simplify API endpoint indexing and documentation, offering interactive API docs for easy endpoint exploration.

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Hidden Gems of GCP: Powerful Services You’re Probably Not Using

  • The article explores hidden but powerful Google Cloud Platform (GCP) services beyond the commonly used ones like Compute Engine and BigQuery.
  • Highlighted services include Cloud Run for serverless containerized apps, Firestore for real-time data syncing, Cloud Scheduler for cron jobs, Secret Manager for secure data storage, Cloud Tasks for task queuing, Dataflow for stream and batch processing, Memorystore for in-memory caching, and Cloud Build for CI/CD.
  • Practical examples and details are provided for each service to showcase their capabilities and use cases.
  • The article emphasizes the advantages of these lesser-known GCP services in terms of efficiency, scalability, ease of use, and cost-effectiveness.
  • EligibleForWebStory: true

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Oracle 23ai — Applying Grid Infrastructure Patches via GUI(Zero-Downtime)

  • In Oracle 23ai, Grid software patches can be applied using gridSetup.sh script with a GUI interface.
  • The process can be carried out with zero downtime for applying Release Update 23.6 to Grid Infrastructure version 23.5.
  • To start, Grid Infrastructure software version 23.6 needs to be installed as software only.
  • After installation, the /grid/23.6/root.sh script needs to be executed to configure Grid Infrastructure.
  • Executing the script launches the Grid Infrastructure Setup Wizard for patch application.
  • The final step involves running /grid/23.6/root.sh script to apply the patch after configuration.
  • The patch application process involves pre-patch and post-patch steps for successful updating.
  • Upon completion, the Oracle Grid Infrastructure version is upgraded to 23.6 successfully.
  • The Oracle Grid Infrastructure version is confirmed as 23.6 after the patch application.

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MaAvatar: Step Into a New World of Web3 Expression and Empowerment

  • MaAvatar is a Web3-native identity ecosystem that combines avatars, quests, rewards, and storytelling.
  • Users' avatars in MaAvatar evolve based on their actions, achievements, and experiences in the metaverse.
  • MaAvatar allows gamers, collectors, creators, and explorers to express themselves and their values on-chain.
  • The platform offers dynamic Web3 identity that changes with user activities and interactions.
  • MaAvatar provides gamified quests, tasks, and challenges that engage users and offer rewards.
  • Users earn MAAV Points for various actions, unlocking token & NFT airdrops, whitelist access, ambassador tiers, and more.
  • The MaAvatar community emphasizes collaboration, events, and shared storytelling.
  • It reintroduces personality and presence in the Web3 space, offering digital self a narrative beyond just data points.
  • MaAvatar serves as a universal identity and a shared experience in the increasingly fragmented Web3 world.
  • To begin, users can claim a MaAvatar, join Zealy, complete quests, earn rewards, and explore.
  • MaAvatar aims to make users part of the blockchain's essence and lets their stories unfold.
  • The platform provides an opportunity for users to engage with the evolving Web3 landscape.
  • MaAvatar signifies a shift towards personal narratives and community-driven experiences in the Web3 realm.
  • Users are encouraged to participate, earn rewards, and contribute to the collective narrative of MaAvatar.
  • The platform offers a way for users to establish a dynamic digital presence in the Web3 ecosystem.
  • MaAvatar embodies the essence of Web3, blending identity, rewards, and storytelling into a cohesive experience.

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GitHub Actions vs CircleCI: Which CI/CD Tool Should You Use in 2025?

  • GitHub Actions and CircleCI remain popular CI/CD platforms in 2025 for modern software development.
  • Automating builds and deployments is crucial due to faster release cycles and distributed teams.
  • GitHub Actions is integrated within GitHub, using YAML configuration files, ideal for GitHub users.
  • It supports various workflows like builds, tests, deployments, with a marketplace for actions.
  • CircleCI is a cloud-native platform with strong performance, flexibility, and scalability.
  • It supports Docker, Linux, macOS, Windows environments, and offers advanced features like parallelism.
  • CircleCI supports projects from GitHub or Bitbucket, with a rich UI and native Docker support.
  • Both platforms offer unique strengths, GitHub Actions for GitHub users and CircleCI for advanced CI/CD control.
  • GitHub Actions is best for integration with GitHub and lightweight automation needs.
  • CircleCI suits engineering teams desiring advanced CI/CD features, faster builds, and detailed insights.

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Mastering GitOps at Scale: Strategies for Multi-Cloud, Hybrid, and Edge

  • GitOps establishes a Git repository as the source of truth for configurations, with advanced strategies for multi-cloud, hybrid, and edge environments.
  • Multi-Cloud GitOps unifies diverse cloud infrastructure through treating cloud resources as code within a central Git repository.
  • Crossplane extends Kubernetes to manage external cloud services declaratively, enabling provisioning and management using Kubernetes-native tooling.
  • Hybrid Cloud GitOps bridges on-premises and cloud environments by deploying GitOps agents and ensuring configuration consistency.
  • GitOps for Edge Computing and IoT involves hierarchical repositories, lightweight agents on edge devices, and pull-based mechanisms for management.
  • Advanced Security & Compliance in GitOps integrates policy-as-code tools for automated enforcement, reducing the attack surface and enforcing immutable infrastructure.
  • Operational Excellence in GitOps involves scaling considerations like repository structure and observability strategies for monitoring and troubleshooting.
  • Successful GitOps adoption requires a cultural shift towards a Git-centric workflow and investment in training and collaboration.
  • GitOps challenges in 2025 emphasize the importance of managing the complexities of GitOps at scale.
  • GitOps offers benefits in managing distributed landscapes through advanced strategies and principles like declarative infrastructure and application configurations.

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Title: Passwordless Authentication ROI: TCO & Implementation Guide for Devs

  • This article discusses the total cost of ownership (TCO) for authentication methods, specifically focusing on passwordless authentication from a developer's perspective.
  • Authentication impacts costs through license fees, integration work, support tickets, lost productivity, and security risks.
  • Passwordless authentication is becoming a cost-effective standard for SaaS and enterprise solutions, offering benefits like eliminating password reset logic and reducing attack surfaces.
  • The cost breakdown compares password-based, password with multi-factor authentication (MFA), and passwordless methods in terms of implementation, support, user productivity loss, security incident risk, and opportunity cost.
  • Passwordless authentication can reduce support costs by 70%+ and enhance user experience while minimizing security risks.
  • Comparisons between password, password + MFA, and passwordless authentication highlight differences in attack surfaces, developer complexity, support needs, and user experience.
  • Key technical details for passwordless implementation include using WebAuthn, push authentication, and magic links.
  • Code samples for WebAuthn registration and authentication are provided for frontend JavaScript and backend Python.
  • Common challenges like device loss, legacy systems, and user migration are discussed, along with solutions such as offering backup options and providing education.
  • Developers are encouraged to share their experiences with passwordless authentication, including using WebAuthn, FIDO2, or other methods.
  • Passwordless authentication is highlighted as a way to boost developer productivity, cut authentication costs by 50–65%, and reduce user friction and risk.
  • Starting with a pilot using WebAuthn for web and push for mobile is recommended, with a call for readers to share their own passwordless authentication implementations.
  • The article concludes by emphasizing the ROI of passwordless authentication and its maturity in technology.
  • Readers are invited to share their passwordless authentication implementation experiences.
  • The article is adapted from the original blog post 'Why Passwordless Authentication Cuts Costs by 65%'.

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Spring Cloud Gateway vs. Netflix Zuul 2: Which API Gateway Should You Use in 2025?

  • Spring Cloud Gateway (SCG) and Netflix Zuul 2 are key API gateways in Java for microservices architecture, offering different strengths.
  • Performance-wise, SCG boasts lower latency, higher throughput, and lower CPU usage compared to Zuul 2.
  • Feature-wise, SCG supports HTTP/2, WebSockets, and offers more modern protocol support, while Zuul 2 excels in fine-grained filters and dynamic server-side load balancing.
  • SCG is cleaner for declarative routing, integrates better with Spring Boot Actuator, and is future-proof with WebFlux and HTTP/2 support.
  • In 2025, it's recommended to use SCG if on Spring Boot/Cloud for high throughput and low latency, while Zuul 2 is ideal for Netflix OSS-heavy environments with complex request manipulation needs.
  • Migration tips from Zuul to SCG include replacing Groovy filters with WebFlux GatewayFilter and utilizing Spring Cloud LoadBalancer.
  • Detailed benchmark setups between SCG and Zuul 2 show SCG's superiority in performance, especially in throughput, latency, and resource usage.
  • For most use cases in 2025, Spring Cloud Gateway emerges as the preferred choice, offering speed, modernization, and strong integration with Spring ecosystems over Zuul 2.
  • Conclusion: Spring Cloud Gateway is recommended in 2025 for its performance and modern features, while Zuul 2 remains suitable mainly for legacy Netflix OSS setups.

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🏡 How I Turned My Old Laptop into a Web Server to Host My Portfolio Website

  • A person shares their experience of turning an old laptop into a web server to host their personal portfolio website.
  • The guide not only provides information but also shares a story of repurposing old technology, saving money, and gaining valuable skills.
  • The individual chose to self-host their website by repurposing an old laptop that had low resale value.
  • Skills learned include building a website with React & Node, using Docker for containerization, securing it with Cloudflare Tunnel, tracking visitors with Google Analytics, and gaining devops skills.
  • The tech stack used includes React.js, Node.js, CSS3, Docker, Nginx, and Cloudflare Tunnel for secure external access.
  • The setup involves cloning a repository, installing dependencies, and configuring the Google Analytics Measurement ID.
  • Containerization with Docker simplifies deployments and allows for live updates through volume mounts.
  • To make the site accessible globally, the guide compares Cloudflare Tunnel with port forwarding, with Cloudflare Tunnel being preferred for security and flexibility.
  • Instructions for setting up Cloudflare Tunnel include installing, creating a tunnel, configuring, and binding DNS.
  • Analytics integration involves setting up Google Analytics to track visitors and using Cloudflare for real-time traffic insights.
  • The next step is SEO optimization, with details on improving site visibility and loading speeds.
  • Future posts will cover meta tags, schema markup, and speed optimization for better search engine rankings.
  • The guide includes references to the GitHub repository, Cloudflare Tunnel documentation, and integrating Google Analytics with React.

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Migrating a Kubernetes Cluster from Calico to Cilium (Hands-On Guide)

  • Calico and Cilium are popular CNI plugins for Kubernetes with different implementations and feature sets.
  • Calico uses IP routing and overlays for network policy enforcement, while Cilium leverages eBPF for high-performance networking.
  • Cilium can replace multiple Kubernetes networking components with a single solution and offers additional features like Hubble and layer 7 policies.
  • Organizations may migrate from Calico to Cilium for efficiency, stack simplification, or to unlock new features.
  • During migration, both networking systems coexist, and communication between old and new CNI pods must be maintained to prevent cluster isolation.

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Getting Started with CI/CD Using GitHub Actions: A Beginner’s Complete Guide

  • Continuous Integration (CI) and Continuous Deployment (CD) are essential practices that automate code testing and deployment processes.
  • GitHub Actions is a CI/CD platform integrated into GitHub, simplifying automation without external tools.
  • Basic components for effective workflows include a clear project structure and YAML-based workflow files.
  • Workflow files in a .github/workflows directory define triggers, job configurations, and essential steps for automation.
  • The deployment workflow automates app deployment upon pushes to the master branch and emphasizes secure secret management.
  • GitHub Actions allows secure handling of sensitive data like API keys and passwords.
  • Best practices for CI/CD pipelines include setting appropriate timeouts and using specific action versions for consistency.
  • GitHub Actions provides monitoring, debugging tools, and a wide range of pre-built actions for workflow extension.
  • GitHub Actions democratizes CI/CD, offering automation accessible to developers of all skill levels.
  • Starting with simple workflows, developers can gradually enhance automation processes for testing, building, and deployment.
  • Success with GitHub Actions involves starting simple, iterating, and improving automation gradually for better software delivery.
  • Implementing CI/CD with GitHub Actions improves software quality, collaboration, and continuous improvement efforts.

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Getting Started with Kyverno: Kubernetes Policy Made Simple

  • Kyverno is a policy admission controller for managing rules in Kubernetes clusters.
  • It validates, mutates, or blocks requests based on policies, helping ensure consistency and security.
  • Using Custom Resource Definitions (CRDs), Kyverno enforces policies at namespace or cluster levels.
  • It offers Policy and ClusterPolicy types with rules to mutate, validate, verify, and generate Kubernetes resources.
  • Kyverno runs policies in audit mode to check compliance and enforce mode to block non-compliant resources.
  • PolicyExceptions enable selective bypassing of policies for specific resources.
  • PolicyReports track resource compliance with policies, aiding in validation checks.
  • Kyverno simplifies policy management with familiar YAML syntax and gradual enforcement capabilities.
  • Starting small with audit mode and PolicyReports is recommended when implementing Kyverno.
  • Kyverno helps encode best practices into infrastructure without unnecessary complexity.

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