MongoDB Europe 2016 - MongoDB Atlas
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MongoDB Atlas is a database as a service for MongoDB that allows users to focus on building applications rather than managing infrastructure. It provides scalable and highly available MongoDB clusters in the cloud that automatically handle backups, patching, upgrades and maintenance. MongoDB Atlas offers various pricing and consumption models to suit different use cases. It has integrations with tools and services like MongoDB Compass and supports MongoDB versions 3.2 and 3.4.
MongoDB Europe 2016 - MongoDB Atlas
- 1. MongoDB Atlas Andrew Davidson Product Manager
- 2. #MDBW16 MongoDB Atlas Who it’s for 01 Where it fits 03Why we built it 02 How it works and what you get04 Next steps 06Demo 05
- 3. For people who want to focus on building great applications
- 4. #MDBW16 People like you... •Developers & DevOps Professionals •Fast-moving application teams at companies of all sizes •Entrepreneurs working on the next big thing Developers, DevOps, Application Teams
- 6. 4th Most Popular Fastest Growing RANK DBMS MODEL SCORE GROWTH (20 MO) 1. Oracle Relational DBMS 1,442 -5% 2. MySQL Relational DBMS 1,294 2% 3. Microsoft SQL Server Relational DBMS 1,131 -10% 4. MongoDB Document Store 277 172% 5. PostgreSQL Relational DBMS 273 40% 6. DB2 Relational DBMS 201 11% 7. Microsoft Access Relational DBMS 146 -26% 8. Cassandra Wide Column 107 87% 9. SQLite Relational DBMS 105 19% Source: DB-engines database popularity rankings; May 2015
- 7. The Largest Ecosystem 15,000,000+ MongoDB Downloads 300,000+ Online Education Registrants 40,000+ MongoDB Cloud Manager Users 35,000+ MongoDB User Group Members 1,000+ Technology and Services Partners 2,000+ Customers Across All Industries
- 9. MongoDB: the best of both worlds In a distributed database built on commodity hardware Scalability & Performance Always On, Distributed Deployments FlexibilityExpressive Query Language & Secondary Indexes Strong Consistency
- 10. MongoDB Atlas: all the benefits of MongoDB More convenient and easier than ever Scalability & Performance Always On, Distributed Deployments FlexibilityExpressive Query Language & Secondary Indexes Strong Consistency
- 11. TL;DR
- 12. #MDBW16 Your dedicated MongoDB clusters in the cloud • Scalable backend for your application on-demand • Secure by default • Highly available, even while scaling, patching, upgrading • Maintenance performed for you Database as a Service for MongoDB
- 13. Less is more
- 14. Develop and iterate on new ideas quickly Sandboxes at no operational cost, on demand
- 15. Scale a mission critical application at any time Seamlessly go as big as you want with continuous availability Develop and iterate quickly Try ideas out
- 16. Scale your app any time Ready for success Develop and iterate quickly Try ideas out Cloud economics, flexibility, efficiency Get exactly what you need when you need it £
- 17. Scale your app any time Ready for success Develop and iterate quickly Try ideas out Focus on your business Your customers, your applications Cloud economics Flexibility and efficiency £
- 18. Scale your app any time Ready for success Develop and iterate quickly Try ideas out Focus on your business Your customers, your applications Cloud economics £Flexibility and efficiency
- 19. Focus
- 20. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 21. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 22. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 23. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 24. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 25. #MDBW16 All that application tier jazz Microservices • Separation of concerns, APIs • Applications portable and lightweight Serverless • Just run code, no infrastructure management • AWS Lambda, Google Cloud Functions Containers, Portability • Portable Dockerized apps on top of a worry-free stateful backend Auto-scaling and elasticity • Scale app servers with demand • AWS Elastic Beanstalk Unify siloed data in the data lake • Empower analysts with BI • Empower data scientists with Spark Rapid application development • Backend as a service, Parse Server • Real-time with Meteor
- 26. Consume the way you want to
- 27. #MDBW16 Convenient MongoDB, diverse environment contexts ISVs can confidently have customers deploy a MongoDB backend Dev, QA/Test, Production, Backups, pay for only what you need Pay by the hour for your application environment, grow with your success Managed service providers can easily offer cluster-per customer tenant Deploy a cluster for each of your customers Prepay and burn down hourly usage together across all applications and environments Share a pool of credits across your org Have your customer bring their own MongoDB Atlas cluster
- 28. #MDBW16 Convenient MongoDB, diverse environment contexts ISVs can confidently have customers deploy a MongoDB backend Dev, QA/Test, Production, Backups, pay for only what you need Pay by the hour for your application environment, grow with your success Managed service providers can easily offer cluster-per customer tenant Deploy a cluster for each of your customers Prepay and burn down hourly usage together across all applications and environments Share a pool of credits across your org Have your customer bring their own MongoDB Atlas cluster
- 29. #MDBW16 Convenient MongoDB, diverse environment contexts ISVs can confidently have customers deploy a MongoDB backend Dev, QA/Test, Production, Backups, pay for only what you need Pay by the hour for your application environment, grow with your success Managed service providers can easily offer cluster-per customer tenant Deploy a cluster for each of your customers Prepay and burn down hourly usage together across all applications and environments Share a pool of credits across your org Have your customer bring their own MongoDB Atlas cluster
- 30. #MDBW16 Convenient MongoDB, diverse environment contexts ISVs can confidently have customers deploy a MongoDB backend Dev, QA/Test, Production, Backups, pay for only what you need Pay by the hour for your application environment, grow with your success Managed service providers can easily offer cluster-per customer tenant Deploy a cluster for each of your customers Prepay and burn down hourly usage together across all applications and environments Share a pool of credits across your org Have your customer bring their own MongoDB Atlas cluster
- 32. Automated service Built on a management software used in thousands of customer deployments
- 33. #MDBW16 Road to a Cloud-Hosted MongoDB as a Service 2013 MongoDB launches hosted backup service MongoDB launches automation management as a service 2014 2015 MongoDB launches Ops Manager for on-prem / private cloud enterprise workloads MongoDB launches MongoDB Atlas 2016 MongoDB launches its SaaS monitoring service 2011
- 34. #MDBW16 Convenience Control Public DBaaS Database + IaaS Private DBaaS Dev + AWS, etc + Ops Manager + Laptop + Atlas
- 36. AWS US West, US East More regions on AWS, Azure, and Google Cloud Platform coming soon AWS Ireland AWS Sydney
- 37. Security
- 38. Dedicated VPC per customer environment Network closed off to outside world by default MongoDB Atlas VPC per customer Firewall
- 39. Dedicated VPC per customer environment IP addresses must be explicitly opened for inbound network traffic Firewall IP address whitelist MongoDB Atlas VPC per customer
- 40. Encryption over the wire TLS/SSL used for all network traffic Firewall Customer’s application servers TLS/SSL (encryption over wire) IP address whitelist MongoDB Atlas VPC per customer
- 41. Authentication and access control Username and password required to connect, namespace-scoped privileges configurable Firewall Customer’s application servers DB User & Password Auth TLS/SSL (encryption over wire) Encryption at rest (option) IP address whitelist MongoDB Atlas VPC per customer
- 42. And now introducing VPC peering Peer directly with your own AWS VPCs and connect over the private subnet Firewall Customer’s application servers DB User & Password Auth Encryption at rest (option) Peer over private subnet Customer VPC MongoDB Atlas VPC per customer
- 43. Peer as many as you like Even reference peered VPC security groups Customer VPC MongoDB Atlas VPC per customer Customer VPC
- 45. Changes made in a rolling manner Across availability zones
- 46. Patching Operating system Security Upgrading Maintenance releases applied automatically Scale up In a few clicks, storage, memory Replica in Availability Zone 1 Primary Replica in Availability Zone 2 Replica in Availability Zone 3
- 47. Primary Patching Operating system Security Upgrading Maintenance releases applied automatically Scale up In a few clicks, storage, memory
- 48. Primary Patching Operating system Security Upgrading Maintenance releases applied automatically Scale up In a few clicks, storage, memory
- 49. New primary Patching Operating system Security Upgrading Maintenance releases applied automatically Scale up In a few clicks, storage, memory
- 50. Scale out any time Shard 0 Easy
- 51. Shard 0 Shard 1 Shard 2 Scale out any time Easy
- 52. Full package
- 53. Managed backup service Disaster recovery Point-in-time restore 12-months of snapshots
- 54. Performance monitoring and alerts Integrations with Slack, New Relic, etc
- 55. API Deploy and configure clusters in code
- 56. MongoDB 3.2 & 3.4
- 57. #MDBW16 All the latest features & WiredTiger New ways to unlock real-time insights, and over 100+ languages and locales Faceted navigation and collation Document validation lets you apply data governance standards without sacrificing the benefits of flexible data model Ensure Data Quality Efficiently traverse trees, graphs, and hierarchical data without relying on a single-purpose graph database Native graph processing Combine data from multiple collections with left outer joins for richer analytics & more flexibility in data modeling Richer analytics with dynamic lookups ✓ ✓ ✓ ✓ 3.4
- 58. #MDBW16 All the integrations CompassDrivers BI ConnectorSpark Connector ✓ ✓ ✓ ✓
- 59. Migration
- 60. #MDBW16 Sync from pre-existing deployment Online migration • mongodump | mongorestore • oplogreplay w/ special permissions • new options coming Sync & then flip application over to new back-end
- 61. Demo, pricing
- 62. Related products and services • MongoDB Compass • MongoDB Connector for BI Tooling • 24x7 Support for Development and Performance • Customer Success Program Support • Development rapid start • Performance evaluation and tuning • Data migration Professional Services • MongoDB Account Teams and experts ready to talk to you today • Annual invoice available Account Management
- 63. #MDBW16 Next steps Deploy your first cluster now: mongodb.com/atlas MongoDB University - M123: Getting started with MongoDB Atlas Explore the pricing: mongodb.com/cloud/atlas/pricing Read the whitepaper