MongoDB Atlas: Best Practices

Explore MongoDB Atlas best practices in this presentation. Covering deployment preparation, scaling strategies, data availability, security, and business intelligence, it covers all the best practices required for a deployment on MongoDB Atlas. Key topics include schema design, sharding, monitoring, and security measures, with a special focus on Indian use cases. The session is designed to be both informative and approachable, making it ideal for professionals seeking practical knowledge in MongoDB Atlas.

Transcript

1. MongoDB Atlas: Best Practices Jan 20, 2024 Simar Preet Singh @programmersingh
2. ~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
3. Agenda To learn about MongoDB, MongoDB Atlas and it’s best practices.
5. MongoDB
6. MongoDB MongoDB is - Leading, open-source, NoSQL database
7. MongoDB MongoDB is - Leading, open-source, NoSQL database - Known for: flexibility, scalability, and developer friendly nature
8. 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)
11. Why MongoDB?
12. Why MongoDB Document Model
13. Why MongoDB Document Model Deployment Options
14. Why MongoDB Document Model Easy Setup Deployment Options
15. Why MongoDB Document Model Fully Scalable Easy Setup Deployment Options
16. Why MongoDB Document Model Community Support Fully Scalable Easy Setup Deployment Options
17. 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.
18. 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.
19. Easy Setup MongoDB has a great user experience for developers who can install MongoDB and start writing code immediately.
20. Fully Scalable MongoDB’s horizontal, scale-out architecture can support huge volumes of both data and traffic.
21. 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/
22. Simplifying Database Management with MongoDB Atlas
23. MongoDB Atlas MongoDB Atlas is - cloud-based, fully managed database service
24. MongoDB Atlas MongoDB Atlas is - cloud-based, fully managed database service - automated backups, robust security measures, and built-in replication for high availability.
25. 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
26. 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.
27. Why MongoDB Atlas?
28. Why MongoDB Atlas? 1. Multi-cloud options
29. Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling
30. Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics
31. Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools
32. Why MongoDB Atlas? 1. Multi-cloud options 2. Database Scaling 3. Realtime database metrics 4. Performance optimisation tools 5. Developer Resources
33. 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
34. 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
35. 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.
36. Aasaan Hai… Aasaan hai…
37. Best Practices for MongoDB Atlas?
38. Things to be kept in check: - Schema Design - Dynamic Schema & JSON Schema Validation - Indexes & Transactions Preparing for MongoDB Deployment
39. 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
40. 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
41. 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
42. Growing big? Let's scale! - Vertical Scaling - Horizontal Scaling: Sharding Scaling a MongoDB Atlas Cluster
43. Go Global with MongoDB Atlas Ideal for businesses targeting international markets. Global Clusters
44. 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
45. Keep your MongoDB environment healthy - Monitoring & Capacity Planning: Stay ahead of potential issues. - Disaster Recovery: Your safety net. Managing MongoDB
46. Security is paramount - IP Whitelisting - User Management - Access Token Management MongoDB Security
47. When you directly use your access tokens and API keys in front-end code.
48. Security is paramount - IP Whitelisting - User Management - Access Token Management MongoDB Security
50. Q/A
51. Letʼs Connect
52. Thank you for your time.