Best of Backend Development — April 2025

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ByteByteGo·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.
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ByteByteGo·1y
How YouTube Supports Billions of Users with MySQL and Vitess
YouTube scaled its backend to manage billions of users by implementing Vitess on top of MySQL. Vitess acts as a smart intermediary, enabling horizontal scaling, efficient query routing, and automated database management tasks. Key strategies included replication, sharding, vertical splitting, and enhancements like connection pooling, query safety mechanisms, and a specialized row cache. These measures addressed issues like replication lag, data consistency, and high write loads, ensuring YouTube's backend remained efficient and resilient.
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Medium·1y
Software Architecture for Developers
Software architecture involves more than layers and patterns; it's about systems thinking, where architecture is seen as a dynamic, interconnected system. This approach emphasizes fluidity, adaptability, and the role of each developer in shaping the system. Different developers - from junior to senior, including frontend, backend, and platform engineers - benefit from understanding architecture through interactions, message moderation, and bindable components. This shift leads to clearer data flows, greater autonomy, and a more collaborative, resilient system.
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Community Picks·1y
Laravel Wayfinder
Laravel has introduced Wayfinder, a new package that enables the generation of fully-typed, importable TypeScript functions for controllers and named routes, streamlining integration between Laravel backends and TypeScript frontends. This tutorial demonstrates setting up Wayfinder in a Laravel project, creating necessary models, controllers, routes, and generating TypeScript definitions. Wayfinder simplifies maintaining type-safe routes, improving the developer experience in full-stack Laravel applications.
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The Coding Gopher·1y
99% of Developers Don't Get RPCs
RPC, or Remote Procedure Call, is a critical communication protocol in distributed systems, allowing for code execution on remote systems as if they were local. This method abstracts networking complexities, making it ideal for microservices and internal systems that require efficiency and strict contracts. Unlike REST, which uses HTTP verbs and is better for external APIs, RPC offers granular function-level control, better performance with binary formats like Protobuf, and advanced capabilities like streaming and retries. gRPC enhances these benefits with efficient communication and built-in logging and metrics, making it a superior choice for modern backend architectures.
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Medium·1y
🚀 Start Learning System Design Easily with 30 Core Concepts
System design is crucial for backend and full-stack engineering but can be intimidating for beginners. This guide simplifies the subject with 30 core concepts, each explained with concise definitions. Topics covered include client-server architecture, DNS, APIs, databases, scaling, load balancing, and more. This foundational knowledge is ideal for interview prep and practical application in system design.
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ByteGrad·1y
AI Vibe Coding Tutorial + Workflow (Cursor, Best Practices, PRD, Rules, MCP)
The post discusses a tutorial on building a daily joke app using AI code editors. It highlights the tools like Cursor, Visual Studio Code, and Windsurf, and explains the workflow for creating an app from scratch. Best practices, pitfalls to avoid, and the benefits of using AI in coding are emphasized. The tutorial also covers setting up backend services with Encore, implementing chron jobs, and managing database interactions seamlessly.
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Awesome Go·1y
15 Reasons I Love Go
Go offers many features that make it a highly efficient and productive programming language. Its simplicity, fast compiler, built-in garbage collection, and robust concurrency support make it ideal for backend development and command-line tools. Go is designed for scalability and includes a powerful standard library, built-in testing and benchmarking tools, and a comprehensive toolchain. Additionally, Go's static typing, interfaces, and compatibility focus enhance code safety and maintainability. The thriving open-source ecosystem and cross-compilation capabilities further boost its appeal.
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Community Picks·1y
Redis Deep Dive for System Design Interviews
Redis is a versatile and simple tool ideal for system design interviews due to its diverse capabilities and ease of understanding. It supports various data structures and communication patterns, making it suitable for high-speed caching, distributed locking, rate limiting, and proximity searches. Nevertheless, its in-memory nature means it lacks durability, requiring careful consideration in design decisions.
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YouTube·1y
Why Spring Boot is the BEST Backend Framework
Spring Boot is hailed as the superior backend framework for its built-in security, database integration, scalability, and reliability. The post criticizes other frameworks like Express.js, Django, and Ruby on Rails for their complexity, lack of built-in features, and scalability issues. Spring Boot is advocated as the practical choice for those who want a backend that works efficiently without excessive configuration or headaches.
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ProAndroidDev·1y
Proto vs JSON: When to Use Which (and Why)
Data serialization plays a crucial role in app development, with JSON and Protocol Buffers (Proto) being two commonly used methods. JSON is human-readable and easy to use for public APIs, prototypes, and configurations, while Proto offers faster and smaller data handling, ideal for high-performance applications, microservices, and IoT devices. Choosing between them depends on the specific use case, whether readability or performance is prioritized.
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Awesome Go·1y
Why Go Should Be Your Best First Step into Backend Development
Go, known for its simplicity, speed, and ease of handling concurrency, is recommended as a first language for frontend developers transitioning to backend development. It offers a straightforward learning curve, static typing like TypeScript, and robust tools that aid productivity. Its performance and scalability advantages make it an excellent choice for building reliable and fast backend services.
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ByteGrad·1y
The Ultimate Next.js Dashboard Stack (Shadcn, WebSocket / SSE, OLTP / OLAP Database)
The video discusses building real-time analytical dashboards using Next.js, detailing how component libraries like Shadcn and Tremor can enhance the UI. It covers the use of WebSocket and Server-Side Events (SSE) for continuous data streaming between client and server. The importance of choosing the right database for transactional (OLTP) and analytical (OLAP) workloads is highlighted, recommending the use of DuckDB with Postgres and introducing Hydra for simplified management. A step-by-step guide on setting up this stack with a focus on real-time web analytics dashboards is provided.
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Hacker News·1y
Anatomy Of A SQL Engine
The post explores the anatomy of a SQL engine, detailing the journey of a query from parsing to result spooling. It outlines key stages such as parsing, binding, plan simplification, join exploration, and plan costing. It highlights DoltHub's approach to SQL engines using row-based execution and explores aspects of parsing, including right and left recursive methods. Further discussions include binding AST nodes, simplifying query plans, exploring join orders, and establishing optimal execution strategies. The post concludes with insights into future improvements in query execution efficiency.
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DEV·1y
📍The Art of Choosing the Right Database
Choosing the right database involves understanding the underlying storage engines and transaction protocols. This post explores the differences between SQL and NoSQL databases, focusing on B-Trees and LSM Trees. It discusses the strengths and use cases for databases like MySQL, MongoDB, Cassandra, and PostgreSQL, and highlights the importance of considering read vs. write-heavy workloads and transaction requirements.
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The New Stack·1y
How To Master Vector Databases
Vector databases are specialized systems designed to handle high-dimensional data, such as images, text, and audio embeddings, effectively and efficiently. They excel in similarity searches and are integral to applications like recommendation systems, image retrieval, and anomaly detection. This guide offers insights into selecting the right vector database, understanding vector embeddings, and optimizing performance, featuring examples from popular vector databases like Milvus, Pinecone, and Weaviate.
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Laravel News·1y
Laravel Unique
Laravel Unique is a package that provides a trait for Laravel Eloquent models to maintain field uniqueness within specified constraints. It supports custom suffix formats and value generators, and can be configured via a config file or model properties. The package enforces application-level uniqueness before saving, making it suitable for use cases like unique names, slugs, or identifiers.
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Awesome Java Newsletter·1y
Java is dying and it paid off my mortgage
Moving from the MERN stack to Java, the author feared that working with an 'outdated' language would limit their career prospects. Despite concerns about its dwindling popularity, Java provided stable and high-paying job opportunities that ultimately allowed the author to buy a house. This experience highlighted that mature, less-hyped technologies can still offer rewarding career paths and financial stability.
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Lobsters·1y
pgdogdev/pgdog: Horizontal scaling for PostgreSQL with automatic sharding.
PgDog is a fast, secure transaction pooler and logical replication manager for PostgreSQL that supports automatic sharding. Written in Rust, it can manage hundreds of databases and thousands of connections, offering features like cross-shard queries, health checks, and failover. It includes tools for Docker and Helm deployment, PostgreSQL client compatibility, and detailed configuration files. PgDog is open source and licensed under AGPL v3.
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freeCodeCamp·1y
How to Write Unit Tests and E2E Tests for NestJS Applications
Learn how to write unit tests and E2E tests for NestJS applications. This guide covers the fundamentals of testing, how to mock data, and the importance of unit test coverage. It includes practical examples and a demo project to help you understand the process. The tutorial also discusses when it's appropriate to write tests and the benefits of testing in enhancing system robustness and maintainability.
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Lobsters·1y
Just Throw It Into Postgres
Exploring the flexibility of Postgres for handling various types of data, including unstructured and unexpected formats. Examples include using Postgres for compiling Java code references, storing Chinese character outlines, and logging room temperature data. Highlights the advantages of leveranging relational databases without strict adherence to traditional schemas.
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MotherDuck·1y
Instant SQL is here: Speedrun ad-hoc queries as you type
Instant SQL is a new feature available in MotherDuck and DuckDB Local UI that provides real-time query result previews as you type, expediting the process of building and debugging SQL queries. This innovative tool is designed to maintain an analytical flow state, allowing for immediate visualization and modification of data which helps reduce the tedious cycle of drafting and debugging queries. Instant SQL supports various data sources and includes AI-powered inline edit suggestions for an enhanced user experience.
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System Design Codex·1y
Pessimistic vs Optimistic Locking
Locks are essential in multi-user applications to ensure data consistency and integrity. Pessimistic locking preemptively locks data to prevent conflicts, making it suitable for critical updates but reducing concurrency. Optimistic locking, on the other hand, assumes conflicts are rare, allowing for higher concurrency without initial locks but requiring conflict checks at commit time. Implementing the right locking strategy involves considering data patterns and optimizing based on system needs. Best practices include minimizing lock durations, using fine-grained locks, and preparing for retries in optimistic locking scenarios.
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Philipp Lackner·1y
Spring Boot Profiles: Manage Dev, Staging & Production Environments Easily
Learn how to manage different environments in Spring Boot using profiles. The guide provides a detailed walkthrough on setting up development, staging, and production configurations by leveraging application properties files. It emphasizes controlling database connections, logging levels, and other environment-specific settings to ensure optimal operation in each phase. Best practices for managing database migrations and logging configurations are also discussed, ensuring a smooth transition from development to production.
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GoPenAI·1y
RAG Database Patterns: Speed, Recall, and Structure
The post provides a comprehensive overview of database patterns in Retrieval-Augmented Generation (RAG) systems. It emphasizes the importance of using multiple types of databases including vector databases, search databases, document stores, and graph databases to achieve optimal speed, recall, and structure. It also discusses design patterns for integrating these databases, highlighting their individual strengths and limitations, and offers real-world implementation guidance.
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