Best of CloudJuly 2024

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    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Deploy a Web App

    Deploying a web application can be simplified with the right guidance. Kerollos Magdy, a Microsoft software engineer, presents a comprehensive course on the freeCodeCamp.org YouTube channel. The course covers deploying web applications using services like Azure, Render, and MongoDB Atlas. It provides step-by-step instructions, starting with free options and then delving into Azure. It also includes setting up databases, deploying backend services, and integrating frontends, offering a broad understanding of various deployment environments.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Learn Linux for Beginners: From Basics to Advanced Techniques [Full Book]

    Learning Linux offers valuable skills in the tech industry, aiding efficiency and career transitions into fields like DevOps, Cybersecurity, and Cloud Computing. This comprehensive handbook covers basics like the Linux command line to advanced topics such as shell scripting and system administration. Examples use Ubuntu 22.04.2 LTS, but the information is broadly applicable across distributions. Key sections include an introduction to Linux, setting up your environment, and managing files, all geared toward empowering new and experienced users alike.

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    Article
    Avatar of amigoscodeAmigoscode·2y

    DevOps Roadmap

    A comprehensive DevOps roadmap covering essential programming languages like Python, Golang, JavaScript, and Ruby. It includes server management with Linux, Unix, and Windows, and networking protocols such as TCP/IP and SSH. The roadmap also delves into key tools for source control (Git, GitHub), infrastructure as code (Terraform, Docker), and continuous integration/deployment (Jenkins, GitLab). Major cloud providers and monitoring tools like Prometheus and Grafana are also highlighted.

  4. 4
    Article
    Avatar of amigoscodeAmigoscode·2y

    Microservices Roadmap

    An overview of the critical components needed for a successful microservices architecture. Highlights include programming languages, databases, containers, message brokers, CI/CD, cloud infrastructure, monitoring, and security practices.

  5. 5
    Article
    Avatar of systemdesigncodexSystem Design Codex·2y

    8 Strategies for Reducing Latency

    High latency can render an application unusable, frustrating users and negatively impacting business outcomes. Developers need to understand low-latency strategies such as caching, using Content Delivery Networks (CDNs), load balancing, asynchronous processing, database indexing, data compression, pre-caching, and utilizing keep-alive connections to mitigate these issues and improve performance.

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    Article
    Avatar of devtoDEV·2y

    Advanced Dockerfile Directives

    Advanced Dockerfile directives enable the creation of sophisticated Docker images. Key directives covered include ENV for setting environment variables, ARG for build-time variables, WORKDIR to set the working directory, COPY and ADD for file inclusion, USER for setting default user, VOLUME for persistent storage, EXPOSE for port declaration, HEALTHCHECK for container health monitoring, and ONBUILD for deferred instructions in parent images. Examples demonstrating each directive are provided to showcase their usage and benefits.

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    Article
    Avatar of javarevisitedJavarevisited·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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    Article
    Avatar of bytebytegoByteByteGo·2y

    EP121: 9 Essential Components of a Production Microservice Application

    Explore the nine essential components for a production microservice application, which include API Gateway, Service Registry, Service Layer, Authorization Server, Data Storage, Distributed Caching, Async Microservices Communication, Metrics Visualization, and Log Aggregation and Visualization. Each component has a specific function crucial for the microservices architecture's efficiency, performance, and security.

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    Article
    Avatar of itsfossIt's Foss·2y

    Self-hosted Open Source Alternatives to Google Photos

    To achieve a private Google Photos-like experience, consider using self-hosted, open-source alternatives like Immich, PhotoPrism, and Nextcloud Photos. These platforms offer varying features such as facial recognition, automatic backups, and mobile apps. Options like Chevereto and LibrePhotos cater to more simplistic needs, while Piwigo offers extensive customizability. Photoview and Lychee have their unique benefits, and Ente provides a hassle-free, encrypted cloud solution without the need for self-hosting.

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    Article
    Avatar of bytebytegoByteByteGo·2y

    EP119: What do Amazon, Netflix, and Uber have in common?

    Amazon, Netflix, and Uber excel at scaling their systems using strategies such as stateless services, horizontal scaling, load balancing, auto-scaling, caching, database replication, sharding, and asynchronous processing. Figma achieved 100X Postgres scaling by implementing vertical and horizontal partitioning, and using tools like PgBouncer and a custom DBProxy service. Additionally, the post highlights the importance of robust testing techniques like unit, integration, system, load, and error testing to ensure software functionality and performance.

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    Article
    Avatar of ardalisArdalis·2y

    From Microservices to Modular Monoliths

    Struggling with the complexity of microservices? Consider migrating to a modular monolith. This approach maintains the gains from breaking up a legacy system without dealing with the issues of a massively distributed system. A modular monolith can simplify management, reduce latency, and keep communication efficient among well-defined modules. However, such a migration needs careful planning and execution.

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    Article
    Avatar of notedNoted·2y

    CasaOS - Self Hosting Made Easy for Beginners

    CasaOS is an open-source operating system designed to simplify self-hosting for beginners. It enables users to manage apps, media, and smart home devices from one place. CasaOS leverages Docker for easy app installation and supports multiple hardware. Users can install pre-selected apps effortlessly and manage their digital homes without technical expertise. The platform aims to foster a connected and efficient home environment through simplicity and community-driven development.

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    Article
    Avatar of hnHacker News·2y

    taubyte/tau: Open source distributed Platform as a Service (PaaS). A self-hosted Vercel / Netlify / Cloudflare alternative.

    Tau is an open-source, distributed Platform as a Service (PaaS) designed to compete with major providers like Vercel, Netlify, and Cloudflare. It's a developer-friendly framework focused on minimal configuration, auto-discovery, and peer-to-peer networking. Using Git for infrastructure management, Tau emphasizes local development and seamless production deployment. Features include WebAssembly support, content-addressed storage, and a plugin system for extensibility.

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    Article
    Avatar of hnHacker 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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    Article
    Avatar of substackSubstack·2y

    The end of the Everything Cloud

    AWS is deprecating several low-usage services to focus more on its core offerings like EC2 and S3. This shift, led by new leadership, aims to streamline AWS's service portfolio and enhance its primary infrastructure-as-a-service offerings. While this move may cause uncertainty regarding the stability of newer services, it is seen as a necessary step to allocate resources effectively and maintain AWS's leading position in cloud services.

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    Article
    Avatar of communityCommunity Picks·2y

    Serverless vs. Traditional Hosting

    Compare serverless hosting and traditional hosting for web applications by evaluating their costs, benefits, and drawbacks. Serverless hosting, with its auto-scaling and pay-per-use model, is ideal for applications with unpredictable traffic. In contrast, traditional hosting offers fixed pricing and full control, making it suitable for consistently high traffic applications. Examples of providers include AWS Lambda for serverless and DigitalOcean for traditional hosting.

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    Article
    Avatar of itnextITNEXT·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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    Article
    Avatar of substackSubstack·2y

    A Primer on Databases

    Databases have been fundamental to software development for decades. The post discusses their history, from the invention of SQL databases to the rise of unstructured and cloud-based databases. It highlights the current database landscape, including the significance of transaction processing and analytics. The piece also touches on emerging technologies like vector databases, which are crucial for AI development. The author emphasizes that while the core technology of databases is not extremely complex, distribution and platformization will be key factors for future success in the database market.

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    Article
    Avatar of communityCommunity Picks·2y

    The ultimate multi-model database

    SurrealDB is a versatile multi-model database designed for modern applications. It integrates the database layer, querying layer, and API/authentication into one platform. It supports SurrealQL, GraphQL, REST, and JSON-RPC for data access and modification. SurrealDB can handle advanced querying without complex JOINs and offers real-time data syncing. It can operate in-memory or as a distributed cluster, suitable for various environments. Additionally, it supports embedded JavaScript functions and ES2020 standards for advanced data manipulation.

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    Article
    Avatar of tailscaleTailscale·2y

    The New Internet

    Avery Pennarun, CEO of Tailscale, discusses the evolution and challenges of modern computing, focusing on the unnecessary complexity introduced by scalability concerns. He highlights that Tailscale aims to simplify networking by addressing these issues. By giving every device an identity and bypassing traditional networking hurdles, Tailscale proposes a new, decentralized Internet model that reduces dependency on central cloud providers, ultimately making software development more efficient and accessible.

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    Article
    Avatar of itsfossIt's Foss·2y

    Basic WSL Commands You Should Know

    Learn essential WSL commands for managing distributions effectively. This includes commands to list available and installed distributions, install various distributions, check the WSL version, run a distribution, terminate a running distribution, export and import distributions, change WSL versions, and update WSL. Additionally, find out how to get help with WSL commands.

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    Article
    Avatar of towardsdevTowards Dev·2y

    Building a Serverless Data Pipeline: A Step-by-Step Guide

    The guide provides step-by-step instructions to build a serverless data pipeline using AWS services. Key components include AWS Lambda for data extraction from the Colombo Stock Market Index API, Amazon Kinesis Data Firehose for data ingestion, Amazon S3 for storage, and AWS Glue for ETL orchestration with Athena for querying data. The pipeline uses event-driven architectures with SQS notifications and Glue crawlers for efficient data processing.

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    Article
    Avatar of nordicapisNordic APIs·2y

    Best API Management Tools in 2024

    The post outlines ten top API management tools for 2024, highlighting their pros and cons to help users decide which one best suits their needs. Key tools discussed include Apigee, AWS API Gateway, Microsoft Azure API Management, Postman, Swagger, IBM API Connect, Kong Gateway, WSO2 API Manager, Gravitee.io, and MuleSoft Anypoint Platform. Each tool is evaluated based on various criteria such as integration, user-friendliness, cost, and feature set.

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    Article
    Avatar of itnextITNEXT·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
    Avatar of itsfossIt's Foss·2y

    Best Free AI Courses to Level Up Your Skills

    Upskill in AI with these free courses, suitable for both beginners and experienced individuals. Courses cover various AI aspects—from generative AI and chatbots to deep learning and NLP—offered by reputable institutions like Harvard, Stanford, and Google. Certifications by NVIDIA, Microsoft, and AWS are also highlighted for validating your AI expertise.