Best of Cloud — April 2025

  1. 1
    Article
    Avatar of bytebytegoByteByteGo·1y

    EP157: How to Learn Backend Development?

    Backend development involves understanding the differences between backend and frontend, choosing appropriate programming languages (Java, Python, JS, Go, Rust, C#), working with various types of databases (SQL, NoSQL, NewSQL), learning about different API types (REST, GraphQL, gRPC, SOAP) and authentication methods (JWT, OAuth2, API keys). Additionally, it includes knowledge of server hosting services, containerization, server setup, and DevOps practices including CI/CD pipelines, IaC, and monitoring tools.

  2. 2
    Article
    Avatar of devtoDEV·1y

    Stop Using Docker like its 2015

    Docker has significantly evolved since 2015. Modern practices such as omitting the `version:` field in Docker Compose, implementing healthchecks, using non-root users, leveraging multi-stage builds, and utilizing BuildKit for caching are essential for efficient Docker usage. Avoiding outdated habits can transform Docker into a fast and reliable production orchestration tool.

  3. 3
    Article
    Avatar of techworld-with-milanTech World With Milan·1y

    How does Netflix manage to show you a movie without interruptions?

    Netflix delivers buffer-free streaming through a sophisticated distributed systems architecture. The platform uses Amazon Web Services for managing control-plane operations and its custom Content Delivery Network, Open Connect, to handle data-plane operations. Key components include hundreds of microservices, a two-tier CDN deployment, adaptive bitrate streaming, and advanced resilience engineering practices. This setup allows for smooth content delivery and high availability, even under heavy load.

  4. 4
    Video
    Avatar of youtubeYouTube·1y

    System Design was HARD until I Learned these 30 Concepts

    To advance from a junior developer to a senior engineer or secure a high-paying job at a big tech company, mastering system design is crucial. Understanding core concepts like client-server architecture, DNS, HTTP, APIs (REST and GraphQL), databases (SQL and NoSQL), and scaling techniques (vertical and horizontal scaling, caching, and load balancing) are fundamental. The post outlines these critical concepts and offers real-world examples to help in designing scalable, reliable systems.

  5. 5
    Video
    Avatar of fireshipFireship·1y

    7 Programming Myths that waste your time

    The post challenges several common programming myths that can waste developers' time. It emphasizes that focusing on the latest technologies isn't always necessary for career relevancy, highlights the potential pitfalls of adhering strictly to programming dogma, and critiques practices like the pursuit of 100% test coverage and unnecessary performance optimizations. While new tools like AI-assisted coding can enhance productivity, overreliance on them can also lead to inefficiencies. Understanding foundational concepts is crucial for effective problem-solving.

  6. 6
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    How to Deploy a Node.js Application on AWS

    Learn to deploy a Node.js/Express application on AWS using an EC2 instance. The guide covers prerequisites such as having an AWS account and knowledge of Node.js, Express, and Linux commands. It details setting up an EC2 instance, installing necessary packages, deploying the application, and configuring security settings. The tutorial also includes steps to use Caddy as a reverse proxy to simplify access to the deployed app.

  7. 7
    Article
    Avatar of javarevisitedJavarevisited·1y

    5 Best Udemy Courses to Learn AI Engineering in 2025

    Discover the top 5 Udemy courses for learning AI Engineering in 2025. These courses cover essential skills like LLMs, MLOps, AI agents, and cloud-based AI services, making them perfect for aspiring AI Engineers. Learn from industry professionals at an affordable price and become job-ready without needing a PhD or expensive bootcamp.

  8. 8
    Article
    Avatar of systemdesigncodexSystem Design Codex·1y

    How Kubernetes Works Internally?

    Kubernetes is an open-source container orchestration platform designed to automate the deployment, scaling, and management of applications. Developers interact with Kubernetes using manifest files to define the desired state of their applications. The Control Plane, including components like the API Server, Scheduler, Controller Manager, and etcd, manages container orchestration, while Worker Nodes execute the workloads. Kubernetes continuously reconciles the actual state with the desired state, ensuring self-healing and high reliability for application deployment.

  9. 9
    Article
    Avatar of hnHacker News·1y

    Firebase Studio

    Firebase Studio is a web-based workspace for full-stack application development that leverages generative AI from Gemini for tasks like coding, debugging, and testing. Users can quickly build backends, front ends, and mobile apps with support for various tech stacks, import repositories, or use natural language to create applications. It offers thousands of extensions, app previews, and deployment options to Firebase Hosting, Cloud Run, or custom infrastructure. Currently available for free during preview with additional workspace for Google Developer Program members.

  10. 10
    Article
    Avatar of cloudnativedailyCloud Native Daily·1y

    Building a Video Streaming Service Using AWS S3, CloudFront, and React

    Learn to build a scalable video streaming service using AWS S3 for video storage, CloudFront for global delivery, and a React frontend for playback. This guide covers setting up an S3 bucket, configuring CloudFront for efficient video delivery, and developing a React application to fetch and play the videos. Deploy the React app on AWS S3 or other hosting services for global accessibility.

  11. 11
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    The Serverless Architecture Handbook: How to Publish a Node Js Docker Image to AWS ECR and Deploy the Container to AWS Lambda

    Learn how to deploy a Node.js application using a serverless architecture with AWS Lambda and Docker. The detailed guide covers cloning your repository, building a Docker image, pushing the image to AWS ECR, and deploying the container to AWS Lambda. Additionally, it explains serverless advantages, differences between deployment models, and practical use cases.

  12. 12
    Article
    Avatar of lobstersLobsters·1y

    Smallweb – Your internet folder

    Smallweb offers a simple, file-based hosting method where subdomains map directly to subfolders in your directory, making app creation as easy as creating a new folder.

  13. 13
    Article
    Avatar of logrocketLogRocket·1y

    The 8 best Go web frameworks for 2025: Updated list

    Discover the top 8 Go web frameworks for 2025 including Gin, Fiber, Echo, and more, examining their features, advantages, and use cases. Updated to reflect the latest trends and framework developments, it offers insights on optimal frameworks for different project needs and highlights the performance of each, aiding developers in making informed decisions.

  14. 14
    Article
    Avatar of codemotionCodemotion·1y

    Top 10 CI/CD Tools in 2025

    In 2025, CI/CD tools enhance software development by automating the processes of building, testing, and deploying applications, leading to reduced manual intervention and errors. Key features include automation, real-time monitoring, multi-cloud compatibility, and support for microservices and containerization. Top tools like Octopus Deploy, GitLab CI/CD, Argo CD, Jenkins, and GitHub Actions offer robust solutions for improving efficiency and streamlining workflows.

  15. 15
    Article
    Avatar of devtronDevtron·1y

    10 Best DevOps Platforms to Know in 2025

    DevOps platforms integrate tools and processes to streamline software development and deployment. They enhance efficiency through automation, reducing errors and supporting continuous integration and delivery. The top 10 platforms to know in 2025, including Devtron, Harness, and GitLab, offer features like AI automation, built-in security, and flexible deployments to suit various team needs and workflows.

  16. 16
    Article
    Avatar of bytebytegoByteByteGo·1y

    How Netflix Orchestrates Millions of Workflow Jobs with Maestro

    Netflix transitioned from using the Meson orchestrator to Maestro due to scalability issues with the growing volume of data and workflows. Maestro, built with a distributed microservices architecture, efficiently manages large-scale workflows with high reliability and low operational overhead. It supports dynamic workflows, defined via DSLs, a visual UI, or programmatic APIs, and leverages technologies such as CockroachDB and distributed queues. Features like event publishing, parameterized workflows, and an integrated signal service enable Maestro to handle extensive data processing and machine learning tasks at scale.

  17. 17
    Article
    Avatar of medium_jsMedium·1y

    Building AI Agents with Google ADK (Agent Development Kit) and MCP (Model Context Protocol) with Gemini 2.5 Pro

    Discover how to build intelligent AI agents with Google’s Agent Development Kit (ADK) and integrate them with external tools using the Model Context Protocol (MCP) and Gemini 2.5 Pro. This comprehensive guide walks through the core concepts of ADK, its agent types, and tools, along with step-by-step implementation instructions for creating and managing agents, using MCP servers for real-world API interactions, and troubleshooting common issues.

  18. 18
    Article
    Avatar of syscolabsslSysco LABS Sri Lanka·1y

    Event-Driven Architecture: How Enterprises Manage Billions of Events

    Event-Driven Architecture (EDA) is a software design pattern gaining popularity for managing Big Data, microservices, and real-time processing. EDA decouples services, enhancing scalability, resilience, and efficiency. It facilitates asynchronous communication through events, enabling systems to handle real-time data effectively. The post covers the benefits of EDA, its key components, real-world applications in companies like Sysco and Uber, and compares EDA with service mesh architecture. It also highlights the scalability, flexibility, and potential challenges of implementing EDA.

  19. 19
    Article
    Avatar of hnHacker News·1y

    One line of code that did cost $8,000

    Screen Studio, a macOS screen recorder app, inadvertently generated 2 petabytes of network traffic on Google Cloud due to a bug in its auto-updater. The issue arose from a missing code line that failed to stop downloads after the update file was obtained, causing repeated downloads every 5 minutes. This led to significant financial costs and user consequences, highlighting the importance of setting cloud alerts and carefully managing auto-updater codes.

  20. 20
    Article
    Avatar of theburningmonktheburningmonk.com·1y

    Event versioning strategies for event-driven architectures

    The post discusses various strategies for versioning event schemas in event-driven architectures, including adding versions in event names, event payloads, separate streams, and using schema registries. It evaluates the pros and cons of each method and suggests alternative approaches to avoid breaking changes. The author emphasizes the importance of supporting backward compatibility and recommends always adding new fields instead of breaking existing schemas.

  21. 21
    Article
    Avatar of medium_jsMedium·1y

    Best MCP Servers You Should Know

    MCP servers enable AI to control various software applications through a single prompt. Examples include Blender-MCP, GitHub-MCP, Docker-MCP, and WhatsApp-MCP, among others. These integrations allow users to automate tasks across different platforms and services. The post provides tutorials for setting up these servers with Claude AI and mentions that users can create their custom MCP servers.

  22. 22
    Article
    Avatar of last9Last9·1y

    9 Best Container Monitoring Tools You Should Know in 2025

    Container monitoring is essential for managing dynamic containerized environments. This post highlights the top nine container monitoring tools for 2025, including emerging solutions like Last9, open-source options like Prometheus, and enterprise-grade tools like Datadog. Key features, pricing, and developer preferences are discussed to help teams choose the best tool for their needs.

  23. 23
    Article
    Avatar of awsfundamentalsAWS Fundamentals·1y

    A Beginner's Guide to One of the Most Popular Infrastructure as Code Tools

    Pulumi is a modern Infrastructure as Code platform allowing users to define, deploy, and manage cloud resources using various programming languages like Python, TypeScript, and Go. Unlike other tools, Pulumi supports multiple cloud providers and can manage resources across AWS, Azure, Google Cloud, and Kubernetes. The platform supports writing infrastructure as code in familiar languages, making it easy for developers to integrate it into their workflows. Important concepts include projects, stacks, resources, inputs and outputs, secrets, state management, and backends. A step-by-step guide shows how to get started with Pulumi, create a project, manage configurations, and deploy resources.

  24. 24
    Article
    Avatar of supabaseSupabase·1y

    Supabase MCP Server

    Supabase has launched an official MCP (Model Context Protocol) server, allowing users to connect AI tools like Cursor and Claude directly to Supabase for tasks such as database management, data querying, and project configuration. The MCP server standardizes tool ecosystems, enhancing AI tool integration and enabling features like resource exposure and reusable prompts. Future enhancements include OAuth 2.0 support, improved schema discovery, and more database operation protections.

  25. 25
    Article
    Avatar of salesforceengSalesforce Engineering·1y

    How a New AI Architecture Processes 100 Million Rows in 5 Minutes

    Salesforce developed a new AI-driven architecture to process over 100 million rows of advertising data in just five minutes. The Marketing Intelligence product unifies ad data from numerous sources, automates campaign performance insights, and simplifies complex data processing. By integrating with Salesforce-native technologies like Data Cloud, AgentForce, and Tableau, the system scales metadata and data processing for large volumes while maintaining low latency and high performance.

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