MongoDB Atlas: Best Practices

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MongoDB Atlas: Best Practices Jan 20, 2024 Simar Preet Singh @programmersingh

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~whoami 1. Software Engineer, Redaptive Inc. 2. Community Organiser, Google Developer Groups Jalandhar 3. 5+ years of experience in Full Stack - Angular, Reactjs, Ionic, Nodejs, MongoDB, Firebase, Supabase, OpenAI etc 4. Love contributing to Developer Community

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Agenda To learn about MongoDB, MongoDB Atlas and it’s best practices.

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MongoDB

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MongoDB MongoDB is - Leading, open-source, NoSQL database

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MongoDB MongoDB is - Leading, open-source, NoSQL database - Known for: ﬂexibility, scalability, and developer friendly nature

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MongoDB MongoDB is - Leading, open-source, NoSQL database - Known for: ﬂexibility, scalability, and developer friendly nature - Document-oriented: stores data in BSON format (which extends JSON)

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Why MongoDB?

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Why MongoDB Document Model

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Why MongoDB Document Model Deployment Options

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Why MongoDB Document Model Easy Setup Deployment Options

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Why MongoDB Document Model Fully Scalable Easy Setup Deployment Options

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Why MongoDB Document Model Community Support Fully Scalable Easy Setup Deployment Options

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Document Model The document data model is a powerful way to store and retrieve data in any modern programming language, allowing developers to move quickly.

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Deployment Options MongoDB is available in any major public cloud (such as AWS, Azure, and Google Cloud) through MongoDB Atlas, in large data centers through the Enterprise Advanced edition, or free through the open-source Community edition.

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Easy Setup MongoDB has a great user experience for developers who can install MongoDB and start writing code immediately.

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Fully Scalable MongoDB’s horizontal, scale-out architecture can support huge volumes of both data and traffic.

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Community Support MongoDB has developed a large and mature platform ecosystem. It has a worldwide community of developers and consultants, making it easy to get help. It also has an enterprise-grade support offering. https://www.mongodb.com/community/

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Simplifying Database Management with MongoDB Atlas

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MongoDB Atlas MongoDB Atlas is - cloud-based, fully managed database service

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MongoDB Atlas MongoDB Atlas is - cloud-based, fully managed database service - automated backups, robust security measures, and built-in replication for high availability.

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MongoDB Atlas MongoDB Atlas is - cloud-based, fully managed database service - automated backups, robust security measures, and built-in replication for high availability. - designed for ease of use, allowing you to deploy, monitor, and scale MongoDB with just a few clicks - suitable for everything from small projects to large enterprise applications, providing the ﬂexibility to adjust resources as needed.

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Why MongoDB Atlas?

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Why MongoDB Atlas? 1. Multi-cloud options

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools 5. Developer Resources

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools 5. Developer Resources 6. Built in security control

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Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools 5. Developer Resources 6. Built in security control 7. Enterprise grade features 8. Additional features like, Replica set, Backups, App Services, No-Code REST API, Vector Search and many more.

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Aasaan Hai… Aasaan hai…

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Best Practices for MongoDB Atlas?

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Things to be kept in check: - Schema Design - Dynamic Schema & JSON Schema Validation - Indexes & Transactions Preparing for MongoDB Deployment

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Things to be kept in check: - Analyze typical queries and design your schema accordingly - Document Size: Large documents (>16MB)? Consider GridFS for storing large ﬁles Application Access Patterns & Document Size

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Data isn't static. It's born, it lives, and sometimes, it needs to retire - TTL (Time to Live): Automatically manage document expiry. - Capped Collections: Limit the growth of collections. Data Lifecycle Management

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The key to speedy queries lies in smart indexing - Learn how to avoid common indexing pitfalls: not creating indexes at all or creating more than required indexes. Indexing and Query Optimization

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Growing big? Let's scale! - Vertical Scaling - Horizontal Scaling: Sharding Scaling a MongoDB Atlas Cluster

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Go Global with MongoDB Atlas Ideal for businesses targeting international markets. Global Clusters

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Your data should always be there when you need it - Data Redundancy: Never lose your data. - Write Guarantees & Read Preferences: Balance between data consistency and availability. Continuous Availability & Data Consistency

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Keep your MongoDB environment healthy - Monitoring & Capacity Planning: Stay ahead of potential issues. - Disaster Recovery: Your safety net. Managing MongoDB

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Security is paramount - IP Whitelisting - User Management - Access Token Management MongoDB Security

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When you directly use your access tokens and API keys in front-end code.

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Security is paramount - IP Whitelisting - User Management - Access Token Management MongoDB Security