MongoDB is a software company that is best known for providing the open-source JSON document-oriented database system. The document model offers more flexibility for developers than the traditional relational database that uses a rigid structure of rows and columns.
Document databases have opened up more possibilities and features, allowing software and apps to handle large amounts of data efficiently.
Having been around since 2009, MongoDB has grown to offer various services around this document-based database. Its flagship offering is MongoDB Atlas, a cloud-based database service that provides fully managed instances of MongoDB, as well as consulting, training, and support services for customers who use the database.
In other words, Atlas deals with all the complexities of handling a database in the cloud, including deploying and managing. This allows development teams to focus on more important aspects of their business.
According to PR Newswire’s report, MongoDB showed a strong finish to fiscal 2023 thanks to its 50% revenue growth for MongoDB Atlas. The service has proven to be a valuable asset for enterprises that seek innovation and operational efficiency.
One of Atlas’s more recent applications is in Singapore. IT News Asia writes that Atlas was used to create a digital form builder for government and healthcare institutions. This form builder not only collects data securely but also seamlessly integrates with other government systems.
As you can see, MongoDB Atlas can be used for a wide variety of cloud projects and applications. The great news is, it’s easy to get started on MongoDB Atlas. Here’s a guide on how.
1. Create a MongoDB Atlas account
The first step is straightforward. Go to the MongoDB Atlas website and sign up for a free account. You’ll need to provide your email address and create a password.
2. Create a new project
Once you’ve signed up, you’ll be taken to the Atlas dashboard. Click on the “Create New Project” button to create a new project. Projects allow you to define and organize resources such as database clusters, triggers, and data lakes. Give your project a name and select the cloud provider and region you want to use.
3. Create a new cluster
After creating your project, click on the “Build a Cluster” button to create a new cluster. There are three choices for a cluster: Shared Cluster, Dedicated Cluster, and Multi-Cloud and Multi-Region Cluster.
A Shared Cluster is the most affordable option, as it uses shared hardware resources and network. Meanwhile, a Dedicated Cluster gives you an assigned set of hardware and network isolation.
Lastly, the Multi-Cloud and Multi-Region can replicate data across multiple geographic locations. This is an ideal option for multiple cloud clusters using a combination of different cloud providers.
Choose the cluster tier that you want to use (e.g. M10), and select the cloud provider and region you want to use.
4. Configure your cluster
Next, configure your cluster to meet your specific needs. For example, you can adjust the number of nodes in your cluster, the storage capacity, and the backup and recovery options.
5. Connect to your cluster
When you’re happy with your cluster, you can connect to it using a MongoDB client. You can use the MongoDB shell, MongoDB Compass, or any other MongoDB client that supports connecting to a MongoDB cluster.
6. Load a sample data set
You can load a sample data set to start experimenting with MongoDB. From the cluster view, click on the ellipsis button “…” and select “Load Sample Data.” This will pull up a few sample collections you can build upon to learn more about how to grow your database.
That’s it! Once you’ve completed these steps, you’ll be ready to start using MongoDB Atlas. If you need any help along the way, MongoDB offers comprehensive documentation and support to help you get started. Try MongoDB Atlas today!
If you still have doubts about cloud technology or whether or not it is fit for your operations, take a look at our post on the ‘Top Reasons for Switching to Cloud Software’.
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