Tag: MongoDB Atlas

Businesses are faced with increased data and variety, as data structures are no longer tabular and come in all forms and shapes like JSON, logs, videos, and big data. These challenges drive developers to adopt MEAN or MERN stacks that can be deployed in a highly scalable, secure, and cost-efficient environment. Learn how you can migrate to the two stacks by introducing MongoDB Atlas and Amazon ECS with AWS Fargate into your architectures.

Using MongoDB Atlas with AWS Elastic BeanStalk, developers can focus on driving innovation and business value instead of managing infrastructure. AWS Elastic Beanstalk makes it easier for developers to quickly deploy and manage their applications on AWS. Developers can upload their code, and Elastic Beanstalk automatically handles the deployment details of auto scaling, capacity provisioning, load balancing, and application health monitoring.

Enterprises are building data analysis capabilities to extract information captured in data, develop an understanding of their business, and channel efforts towards customer centricity. This post explains the need for operational analytics and how it can be achieved with MongoDB Atlas and Amazon Redshift. MongoDB is an AWS Data and Analytics Competency Partner and developer data platform company empowering innovators to unleash the power of software and data.

A serverless architecture strategy reduces complexity and provides more flexibility in adopting the features and non-functional requirements needed to support market agility. In this post, walk through an example of an IoT use case and build a serverless scalable platform using Amazon Kinesis Data Firehose, Amazon Managed Service for Apache Flink, and MongoDB Realm. You’ll learn how easy it is to develop mobile and desktop applications on top of the data platform for different personas.

With the proliferation of different, constantly changing applications, it’s become a challenge to innovate quickly while having a strategy in place to prevent ballooning storage costs. Legacy archival and analytic tools often restrict developers and diminish the benefits of NoSQL’s handling of modern, rich data sources. Learn how MongoDB is committed to making it easier for customers to scale and transform their data management solutions to make developers’ lives easier.

To reap the benefits of cloud computing, organizations cannot simply take their existing applications and architectures in their legacy on-premises environment and move them as-is to the cloud. True cloud modernization with MongoDB Atlas on AWS enables you to move data and simultaneously apply the latest innovations in development methodologies, architectural patterns, and technologies to refresh your portfolio of existing applications.

Competitive advantage often lies in a company’s ability to create modern customer experiences. But for many, an unwieldy data infrastructure can get in the way and prevent innovation. Explore the importance of modernizing your data infrastructure to speed up application development and iteration, and dive deep on key features and benefits of using MongoDB Atlas on AWS to get the job done. Additionally, we’ll review a case study of one organization’s modernization journey.

Businesses are faced with ever-increasing complexity of the systems they need to run in order to stay agile and competitive. The complexity can develop over time as new systems are integrated but old ones are not retired sufficiently fast. It can also develop intentionally, such as when a monolith is decomposed into microservices. In this post, learn how to build modern, event-driven serverless applications and how MongoDB Atlas and Realm products complement serverless architectures.

MongoDB Atlas is the global cloud database service for modern applications, and in this post learn how to configure MongoDB Atlas to authenticate using AWS Single Sign-On (AWS SSO). Instead of having to sign in separately to MongoDB Atlas Control Plane, with this configuration enabled users can access the MongoDB Atlas user interface with their corporate credentials using AWS SSO. This delivers a better user experience without the need for managing separate sets of credentials.

Customers want to guarantee private connectivity to MongoDB Atlas running on AWS. All dedicated clusters on MongoDB Atlas are deployed in their own VPC, so customers usually connect to a cluster via VPC peering or public IP access-listing. AWS PrivateLink allows you to securely access MongoDB Atlas clusters from your own VPC. In this post, follow step-by-step instructions to configure AWS PrivateLink for MongoDB Atlas, ensuring private connectivity to your data.