Best of AWSFebruary 2025

  1. 1
    Article
    Avatar of bytebytegoByteByteGo·1y

    EP151: 24 Good Resources to Learn Software Architecture in 2025

    ByteByteGo Newsletter shares 24 valuable resources for learning software architecture in 2025, including books, tech blogs, YouTube channels, and whitepapers. It also compares API styles (SOAP vs REST vs GraphQL vs RPC) and AWS services (SQS vs SNS vs EventBridge vs Kinesis). Additionally, it outlines methods to enhance API performance and introduces Grok-3, a powerful AI developed by xAI.

  2. 2
    Article
    Avatar of devtoDEV·1y

    System Design for DevOps Engineers

    This guide dives into system design, covering topics like communication protocols, CI/CD, architecture patterns, databases, caches, microservices, payment systems, and developer productivity tools with a focus on DevOps and security. It compares REST and GraphQL, explains how gRPC works, discusses webhooks, outlines common strategies to improve API performance, and reviews the evolution of HTTP protocols from 1.0 to HTTP/3.0. The post emphasizes the importance of efficient and safe API design and explores various caching strategies and best practices for microservice architecture.

  3. 3
    Article
    Avatar of hnHacker News·1y

    7 Common Mistakes in Architecture Diagrams

    Creating effective technical architecture diagrams is crucial for conveying system understanding. Common mistakes to avoid include creating overly theoretical diagrams, mixing levels of abstraction, including too many overlapping concerns, using unlabeled arrows, misleading composition, missing context, and neglecting accompanying explainer text. These errors can undermine the clarity and usefulness of the diagrams.

  4. 4
    Article
    Avatar of goserverlessServerless·1y

    Introducing Serverless Container Framework

    Serverless Container Framework (SCF) simplifies container deployment across serverless environments like AWS Lambda and Fargate ECS. It offers a unified deployment experience, seamless platform switching without code rewrites, and rich local development with hot-module-reloading. SCF supports automated infrastructure setup, smart code change detection, and built-in SSL management, aiming to optimize serverless workflows and reduce costs.

  5. 5
    Article
    Avatar of iotechhubiO tech_hub·1y

    Frontend Automation with Github Actions and AWS

    Learn how to automate your frontend deployments to AWS S3 using GitHub Actions. This guide walks through setting up GitHub Actions workflows for continuous integration and delivery (CI/CD), using AWS CLI, managing AWS credentials securely, and deploying build files to an S3 bucket and optionally invalidating CloudFront cache. By following these steps, you can save time and ensure a more streamlined, error-free deployment process.

  6. 6
    Article
    Avatar of bytebytegoByteByteGo·1y

    How Amazon S3 Stores 350 Trillion Objects with 11 Nines of Durability

    Amazon S3 is a highly scalable and durable object storage service, launched in 2006, which has revolutionized cloud storage with 99.999999999% durability. Initially reactive, S3 has evolved to predictive scaling and threat modeling. It uses a complex microservices architecture to manage over 350 trillion objects, ensuring high availability and security. Key features include multiple storage classes, automatic scalability, encryption, and integration with other AWS services. Notable milestones include the introduction of regional storage, Glacier, and intelligent-tiering. S3's indexing and partitioning strategies enable rapid data retrieval and fault tolerance.

  7. 7
    Article
    Avatar of bytebytegoByteByteGo·1y

    How Instagram Scaled Its Infrastructure To Support a Billion Users

    Instagram has evolved significantly since its launch in 2010, overcoming early scalability challenges and transforming to support over a billion users. Key strategies included migrating from AWS to Facebook’s data centers, implementing distributed databases, and optimizing caching mechanisms. The platform uses Django for its web framework, RabbitMQ for message brokering, and Celery for asynchronous task processing. Their backend architecture and deployment models incorporate continuous integration and automated monitoring, ensuring high performance and reliability.

  8. 8
    Article
    Avatar of jetbrainsJetBrains·1y

    First Steps in Game Development With Rust and Bevy

    The post introduces game development with Rust and the Bevy game engine, using RustRover IDE. It provides a step-by-step guide to creating a simple game where an object jumps, covering essential concepts like entities, components, systems, and schedules in Bevy. It also details how to handle user input, apply physics, and render objects. The final section discusses creating an endless runner game and highlights useful resources for learning Bevy and game development.

  9. 9
    Article
    Avatar of awegoAwesome Go·1y

    Parallel Streaming Pattern in Go: How to Scan Large S3 or GCS Buckets Significantly Faster

    Parallelizing file operations in large GCS or S3 buckets can significantly improve performance. By using the rill concurrency toolkit in Go, tasks like listing, filtering, and deleting files can be made concurrent. This involves creating split points within the bucket to distribute the workload more evenly and efficiently using goroutines. The strategy minimizes bottlenecks and maintains cost efficiency. The provided examples demonstrate implementation for both GCS and S3.

  10. 10
    Video
    Avatar of youtubeYouTube·1y

    Rust vs. Go (Golang): Performance (Only Standard Library)

    This comparison examines the performance of Go and Rust programming languages using only their standard libraries. The tests were conducted on AWS m7a.large EC2 instances, measuring latency, requests per second, CPU usage, and memory usage. The findings indicated that a single-threaded Rust application handled around 1,500 requests per second, while a multi-threaded version reached 4,000 requests per second. On the other hand, a production-ready Go REST application managed thousands of requests per second using just its standard library.

  11. 11
    Video
    Avatar of codeheimcodeHeim·1y

    #76 Golang - Upload Files to S3 & Serve with Presigned URLs

    Uploading files to local servers can be challenging due to limited disk space, scalability issues, and security risks. Amazon S3 offers a scalable, secure, and highly available storage solution. This post guides on how to upload images to S3 in a Golang project using the AWS SDK. It covers setting up the SDK, uploading files, creating pre-signed URLs, and making the application more scalable and efficient by offloading storage to S3.