AI·1yI've build a platform for everything-AI!
MyAiHub.ai is a newly launched platform for AI enthusiasts and professionals, designed to consolidate AI resources in one place. It was built using React, TypeScript, MongoDB, and Express.js. The project is open to feedback and aims to evolve with the AI community's needs.
codeHeim·1y#65 Golang - Build REST APIs with Golang and MongoDB
Learn how to build REST APIs using Golang and MongoDB. The guide covers setting up the MongoDB Go driver, structuring the project using MVC, connecting to the database, and implementing CRUD operations for movie records. The tutorial includes examples of inserting, updating, deleting, and querying data in MongoDB.
MongoDB·2yMongoDB Database Observability: Integrating with Monitoring Tools
Learn how to integrate MongoDB Atlas with popular observability tools like Datadog, Prometheus, PagerDuty, Microsoft Teams, and Slack to streamline operations and enhance visibility. Follow the guide on configuring these integrations through Atlas UI for a unified view of database and application metrics, ensuring efficient incident response and optimal performance. Explore a use-case scenario with an e-commerce company leveraging MongoDB Atlas, Datadog, and Slack for a seamless observability ecosystem.
MongoDB·2yBuilding Gen AI with MongoDB & AI Partners
Generative AI is being increasingly adopted, and MongoDB, in collaboration with several AI and tech partners, is working to provide the right tools and education for companies to build genAI applications. Their initiatives include webinars and video content that cover both broad and specific AI topics. New partnerships with companies like Astronomer, CloudZero, ObjectBox, and Rasa aim to enhance data orchestration, cloud cost optimization, mobile data management, and conversational AI capabilities.
SingleStore·2yMastering MongoDB Array: Efficient Queries and Filtering Techniques
Queries involving arrays in MongoDB can be complex but efficient with the right techniques. This guide covers methods such as dot notation, $elemMatch, and $all for querying arrays. It also dives into indexing, using efficient operators, and optimizing query performance. Advanced methods using the aggregation framework are discussed, including $unwind and $slice operators. Additionally, SingleStore Kai is introduced as a tool for significantly improving array query performance through features like enhanced indexing and SQL integration.
Laravel News·2yLaravel Roundup
The November edition of the Laravel Roundup includes highlights such as the new PHP and Laravel installer, Laravel MongoDB integration version 5.0, WireSpy for Laravel Livewire, and the beta release of Inertia.js v2. It also features a new PHP package called Pan and discusses the API Platform for Laravel. The post lists various job openings for Laravel developers and shares upcoming Laravel events along with tutorials for rendering API exceptions as JSON, splitting log levels in Laravel, and enhancing PhpStorm with Laravel Idea.
Community Picks·1yMongoDB vs. PostgreSQL: Performance & Functionality
The post covers the differences between relational and document databases, with a focus on PostgreSQL and MongoDB. It discusses how PostgreSQL can function as a document-oriented database, including performance comparisons using JSON and JSONB data formats. It also examines various indexes to improve query performance and runs benchmarks using a common e-commerce use case. The testing setup includes AWS with specialized instances, and the results compare latency, queries per second, CPU usage, and disk operations for both databases.