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In this article, we delve into the significance of modernizing data infrastructure to enhance application development and iteration. We will highlight the key features and advantages of utilizing MongoDB Atlas on AWS to achieve this transformation. Additionally, we’ll present a case study illustrating one organization’s journey toward modernization.
A company’s competitive edge often hinges on its ability to provide modern customer experiences. However, many organizations find that outdated data infrastructures hinder innovation. To rapidly develop and evolve applications, gain timely insights, and stay ahead of competitors, companies must consider modernizing their data frameworks.
Most modernization efforts begin by shedding the constraints of the past. Many legacy business applications rely on relational database management systems (RDBMS), which impose a rigid, table-based structure on data. These inflexible data models can be cumbersome to modify, slowing down application development. Moreover, relational databases often lack built-in distributed architecture, resulting in increased downtime risks and complicated scaling as organizations grow globally.
The repercussions of an inefficient data infrastructure are numerous. Developers often struggle to innovate atop a data model that misaligns with application logic and is challenging to evolve. Managing databases can become burdensome, particularly for organizations maintaining on-premises infrastructure. Some may attempt to introduce supplementary data systems alongside their RDBMS to acquire new capabilities, only to face issues with data integration, duplication, and complex architectures. This fragmented development experience ultimately stifles innovation.
So, what’s the solution? Embracing a global cloud database service can facilitate the creation, operation, and enhancement of modern applications. MongoDB Atlas on Amazon Web Services (AWS) empowers organizations to develop applications that are highly available, perform well on a global scale, and comply with stringent security and privacy standards. By leveraging MongoDB Atlas on AWS, you can concentrate on fostering innovation and delivering business value rather than managing infrastructure.
Why Modernize with MongoDB Atlas on AWS?
The synergy between MongoDB Atlas and AWS simplifies the process of consistently delivering exceptional features and products globally while boosting developer productivity. The flexible document model of MongoDB makes application development and evolution straightforward, eliminating the friction often associated with relational databases. Intelligent performance recommendations allow users to access index suggestions for slow-running queries and implement them with minimal effort.
With Atlas and AWS, organizations can confidently build modern, data-driven applications, scale them efficiently, optimize their performance, and streamline their data architecture. MongoDB Atlas’s unified data model reduces complexity across systems, enabling interactions through a single API for all core application data needs—from transactional applications to built-in search and real-time analytics.
Furthermore, the integration capabilities between Atlas and AWS services open doors for advanced functionalities and seamless connections with the AWS application tier. For instance, organizations can develop event-driven applications using Amazon EventBridge or connect with Amazon Kinesis to manage streaming data, facilitate real-time enhancements, and much more.
With MongoDB Atlas and AWS, businesses can deploy their applications anywhere globally, as Atlas is available in 18 AWS Regions. The distributed fault tolerance built into Atlas ensures resilience, with an industry-leading uptime SLA of 99.995%. Coupled with automated backups and compliance standards, organizations can trust MongoDB Atlas on AWS for their most sensitive data and critical workloads.
Case Study: Innovative Solutions by TechPro
TechPro, a forward-thinking services company, specializes in providing innovative engineering solutions for clients eager to advance their software development and digital transformation. With a deep understanding of enterprise data products, CEO Jamie Lark and Co-Founder Riley Smith realized they were spending too much time on technical fixes instead of addressing their clients’ business challenges.
Determined to accelerate development cycles, meet rising demand, and compete effectively in a fast-paced market, Jamie and Riley decided to abandon the inflexibility of relational databases to overcome their limitations. With the surge in web and mobile applications, they recognized that managing data through a document database would be more effective, leading them to build a Java application server powered by MongoDB.
RESTHeart: A Streamlined REST API for MongoDB
TechPro developed RESTHeart, a ready-to-use REST API for MongoDB, deploying most of its products and services on MongoDB Atlas hosted on AWS. RESTHeart is a stateless REST API microservice that uses simple HTTP calls to harness the power of MongoDB. By eliminating the need for server-side coding, it allows developers to focus on creating innovative applications that add value.
Many of TechPro’s clients run RESTHeart on Amazon Elastic Container Service (Amazon ECS), offering a simpler alternative to managing Kubernetes clusters. Their architecture also incorporates a Multi-Availability Zone Application Load Balancer to enable automatic load balancing and blue/green hot deployments. Coupled with MongoDB Atlas’s always-on global clusters, RESTHeart’s architecture effectively removes any single point of failure.
TechPro adopted a RESTful design strategy, treating sessions and transactions as first-class REST resources. In MongoDB, operations on individual documents are inherently atomic, which motivated TechPro to model data with embedded documents instead of establishing relationships between multiple documents and collections. The introduction of MongoDB 4.0 further enhanced their capabilities, offering atomicity and strong consistency across databases, collections, documents, and shards through transactions.
This focus on modern data management not only supports their growth but also enhances their service delivery, allowing them to better serve their clients’ needs. For those interested in further developing their own strategies, this blog post offers valuable insights. Additionally, SHRM provides authoritative information on employee development in organizations. If you’re looking for excellent resources, this article on onboarding at scale is highly recommended.
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