From the course: Introduction to MongoDB

Introduction to MongoDB Atlas - MongoDB Tutorial

From the course: Introduction to MongoDB

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Introduction to MongoDB Atlas

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- Welcome back team. In this video, we'll introduce you to MongoDB Atlas, our developer data platform, and how it makes working with data easy for a wide variety of applications. We'll also cover the components of the platform that address common requirements of modern applications. This means there's less need to introduce additional technologies that may complicate your development process. Let's begin by reviewing how your data is stored in MongoDB Atlas. Atlas is our comprehensive developer data platform. At its core is Atlas Database, our database as a service. This means that when you're using Atlas, you don't need to manage MongoDB yourself. Instead, Atlas will manage the database for you and handle all of the lifecycle details behind the scenes. When using Atlas, your database deployments have built-in replication or what MongoDB refers to as a replica set. This means that your data is stored on more than one server which is a core tenet of MongoDB. This ensures both data redundancy and that your data will be available in the event of a server failure. In Atlas, there are two types of database deployments: serverless instances and clusters. A serverless instance scales on demand and only charges you for the resources that you use. Serverless instances are a great option for applications with highly variable or sparse workloads over time. This is a much simpler choice if you don't know what hardware you need, or if you just want to use a serverless architecture in general. A cluster is several MongoDB servers working together. There are two cluster options: shared and dedicated. Shared clusters are smaller and include a free tier option which is a great way to get started With Atlas. It has over 100,000 new deployments per month, so rest assured that if you choose this option, you can run your small projects on it indefinitely. Finally, dedicated clusters are larger dedicated resources and can be customized to your specific needs. There are options for both low and high traffic applications that have cluster auto scaling enabled by default, as well as enhanced security features. This is the preferred choice for production workloads. When deploying your cluster on Atlas, you can choose from a number of cloud providers, including AWS, Google Cloud, and Microsoft Azure in over 100 geographic regions. You can deploy globally across multiple regions or even multiple clouds. As your needs change, so can your cluster. You always have the option to change your scaling tier, region or cloud provider. Atlas will make these changes for you without any downtime. Atlas includes operational insights and backups with point-in-time restore. It also has capabilities useful for later stages of the lifecycle, like built-in data tiering with Online Archive. You can learn more about Online Archive in one of our advanced courses when you're ready. You can also manage everything from the command line using the Atlas CLI or the administration API. MongoDB Atlas is more than just a database as a service. It's a comprehensive developer data platform. It provides an integrated suite of products and services that developers can use to build applications faster than ever before. Let's quickly discuss some of the other services available in Atlas. Atlas Search enables you to build rich search experiences on top of your data in the cloud. There's no need for a separate search engine. You can actually access everything from MongoDB's aggregation query interface simply by using the search operator. Atlas Device Sync allows you to keep data in sync between the cloud and mobile or other edge devices. This means that you can deliver rich, always-on experiences anywhere. Atlas Data Lake lets you automatically extract data from your Atlas databases to your own low-cost, fully-managed data lake environment. Our data lake uses a format that's optimized for analytical queries. Atlas Data Federation allows you to seamlessly query, transform, aggregate, and write data from Atlas databases, Atlas Data Lakes or your own cloud object storage environments. Atlas Charts is a built-in data visualization tool. It allows you to easily create, share and embed rich dashboards built from your own data in the cloud. Finally, Atlas App Services offers a set of capabilities that allow you to build faster. It includes a data API, which enables you to read and write data in Atlas with standard HTTPS requests. It also includes a GraphQL API, functions, and triggers to enable you to easily create applications with event-driven architectures. Our engineers work hard to build MongoDB Atlas, our developer data platform, with MongoDB's mission in mind to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We look forward to seeing what you build with our developer data platform.

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