Author: Igor Alekseev

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.

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 are always looking for new ways to improve operational efficiency and the security posture of applications running in their virtual private clouds (VPCs). Amazon Route 53 recently launched a Resolver Query Logs capability which lets customers log the DNS queries originating in their Amazon VPC. Follow along with our step-by-step instructions for logging VPC DNS queries in Amazon Route 53, ingesting them into Splunk, and then analyzing them with Splunk.

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.

AWS Single Sign-On makes it easy to centrally manage SSO access to multiple AWS accounts and business applications. You can use AWS SSO to create and manage users centrally and grant access to AWS accounts and business applications, such as Databricks. Instead of having to sign in separately to Databricks Control Plane and other business applications, with this configuration enabled users can access Databricks with their corporate credentials using AWS SSO.