
Learn to use MongoDB Atlas, the managed cloud database for MongoDB, mastering the Atlas UI, cluster setup, secure global access, and built-in search for scalable queries.
Sign up for MongoDB Atlas by visiting the register page, choose Google or enter details, authorize with Google, connect MongoDB with Atlas, and create your deployment from the landing page.
Sign up for MongoDB Atlas through the AWS marketplace, create or link your account, connect it to your AWS account, create an organization, and align billing with your Atlas tier.
Sign up for MongoDB Atlas via the Azure marketplace with a paying subscription; subscribe, then link to an existing Atlas deployment or create a new one.
Sign up for MongoDB Atlas through the Google Cloud Marketplace by subscribing with a pay-as-you-go billing account and linking to an existing MongoDB setup or creating a new one.
Navigate the Atlas UI to access the deployment as the main database and explore additional services such as app services and charts, with security updates and available resources for support.
Understand the organizational level in MongoDB Atlas, where all projects, billing, and access are managed, including alerts, multifactor authentication, and infrastructure as code with tools like Terraform.
Learn to create a new project under an organization, isolate production, and set project-level alerts. Manage access, roles, team permissions, and integrations with devops tools and api keys.
Create a MongoDB Atlas deployment by configuring a cluster as a dedicated machine or serverless, choose production-ready settings, and deploy across providers and regions with authentication and IP address whitelisting.
deploy a MongoDB cluster with version 7.0, enable cloud or continuous backups, and secure the production cluster; learn basics of sharding, BI connector, and Atlas SQL.
Deploy a MongoDB Atlas cluster and choose version 7.0, since 4.4 will not be supported after April 2024, while enabling cloud backups and continuous backups for production protection.
connect your application to the mongodb atlas cluster using official drivers, compass, shell, or atlas sql, copy the connection string, and replace credentials for data access.
Learn how to load data into your Atlas cluster using app connections, the shell, or direct input, and explore migration options like Relational Migrator and Live migration.
Explore database access in MongoDB Atlas, configuring built-in roles like Atlas Admin, read, and write, applying least privilege, and managing user access with custom roles and temporary permissions.
Configure safe network access to your MongoDB Atlas cluster by using IP addresses or VPC peering with AWS, ensuring only authorized environments can connect.
Learn to monitor a MongoDB Atlas cluster, examine primary and secondary node metrics, and use the profiler and Performance Advisor to optimize indexes and cluster health.
Explore how MongoDB Atlas automates backups with hourly, replica-set and region-wide snapshots, and learn how to restore, create on-demand snapshots, and tune retention policies to balance costs.
Master advanced Atlas backup and resilience techniques by testing failover, restarting the primary during outages, and validating multi-region resilience. Review database access history and download node logs to diagnose downtime.
Explore Atlas Search, an integrated search engine beside the database, enabling autocomplete and vector or semantic search via Apache Lucene; create indices with Atlas API or visual editor.
Explore how MongoDB Atlas uses online archive to offload older data to AWS S3 for cost savings, while enabling automated filtering, indexing, and data lake analytics for scalable queries.
Explore data federation in MongoDB Atlas, exporting data to AWS S3 in csv, bson, or parquet, and running federated queries across multiple clusters and storage systems.
Use the data API to access data in your MongoDB Atlas cluster from your application. Generate API keys, test with Postman, control access, and explore app services for advanced settings.
Configure triggers in MongoDB Atlas to run functions on specific events or schedules, such as weekly. Connect triggers to your cluster and AWS EventBridge to automate database operations.
Explore how app services extend MongoDB Atlas beyond the database with templates, triggers, roles, schema validations, authentication, and GraphQL API to power backend as a service.
Connect and synchronize mobile, IoT, and edge devices with MongoDB Atlas using the Atlas device SDK, enabling offline data sync and seamless synchronization when connectivity returns.
Explore how Atlas charts transform your MongoDB Atlas data into UI-based insights. Create, apply filters, export, and embed charts for revenue, country, and sales cycle across your apps.
Ready to unlock the full potential of MongoDB in the cloud?
Join us in this comprehensive course as we dive into the world of MongoDB Atlas, a fully managed database platform designed to simplify data management and empower developers to build scalable, secure, and performant applications.
Whether you're new to cloud databases or an experienced MongoDB user, this course has something for you.
We'll start by exploring the key concepts and advantages of cloud-based database solutions, ensuring you have a solid foundation for understanding the benefits of Atlas.
Next, we'll dive into the heart of Atlas, covering topics such as:
Serverless Architecture: Learn how Atlas eliminates the burden of server management, allowing you to focus on what matters most: building great applications.
Scalability on Demand: Discover how to effortlessly scale your database resources up or down to match your application's needs, ensuring optimal performance and cost-efficiency.
Unwavering Availability: Implement robust mechanisms for data redundancy and disaster recovery, keeping your apps online even in the face of unexpected events.
Ironclad Security: Implement best practices for access control, encryption, and compliance to protect your sensitive data and meet industry standards.
Streamlined Data Operations: Automate routine tasks like backups, schema changes, and user management to save time and reduce errors.
Performance Optimization: Leverage Atlas's built-in monitoring tools to identify bottlenecks, tune queries, and optimize resource utilization for maximum performance.
Deployment Best Practices: Learn how to deploy and manage multi-region clusters for latency-sensitive applications, ensuring optimal user experiences around the globe.
Advanced Features Exploration: Go beyond the basics and unlock the power of Atlas Data Lake for data warehousing and analytics, Atkas Device Sync for offline-first mobile apps, and Atlas Search for full-text search capabilities.
Throughout the course, you'll:
Gain hands-on experience with Atlas through practical exercises and projects.
Connect your Atlas database with various programming languages and frameworks, including Python, JavaScript, Node.js, and more.
Explore best practices for integrating Atlas into your development workflow to streamline data management and boost productivity.
Learn from an experienced instructor who will guide you through each step of the learning journey.
By the end of this course, you'll have the knowledge and skills to:
Confidently deploy and manage MongoDB Atlas in the cloud.
Build scalable, secure, and performant applications using Atlas.
Optimize your development workflow with Atlas's powerful features.
Make informed decisions about database architecture and deployment strategies.
Become a valued asset in any team that utilizes MongoDB for data-driven applications.
Don't wait any longer to harness the power of MongoDB Atlas.
Enroll today and start building the future of your cloud-based applications!