In an era of rapid technological change, the future belongs to organizations that evolve. Legacy applications, while foundational, can hinder progress. Modernizing these systems is more than a tech upgrade; it's a strategic move toward growth, efficiency, and enhanced competitiveness.
Discover how modernized applications can keep you ahead of the curve and accelerate cloud adoption, with expert insights and solutions from MongoDB. Whether you're beginning your modernization journey or seeking to optimize your approach, this article offers valuable insights and practical steps to guide you through the process.
Table of contents
- What is application modernization?
- Why is app modernization necessary?
- Top challenges of maintaining legacy applications
- Common modernization strategies
- What are the key technologies for application modernization?
- A structured methodology for effective legacy app modernization
- What does MongoDB's modern, multi-cloud data platform do?
- Should you modernize your database to MongoDB?
- Summary
- FAQs
What is application modernization?
A robust application modernization strategy, also known as legacy modernization, software modernization, digital transformation, or cloud transformation, involves giving existing applications a new lease on life.
App modernization entails upgrading current systems with modern programming languages, frameworks, infrastructure, services, automation, and cloud computing technology. These modifications help organizations bring their existing applications up to current standards, making them more efficient, scalable, and easier to maintain.
Why is app modernization necessary?
In today's economy, AI-powered applications are becoming ubiquitous, making it critical for businesses to modernize their systems to leverage AI and future-proof their applications for tomorrow's emergent technologies. Legacy applications, often built on outdated technologies and architectures, are increasingly struggling to keep pace with modern business demands, presenting significant roadblocks to agility, innovation, and competitiveness. The imperative to modernize existing legacy applications has become critical for organizations aiming to thrive in today’s market.
By embarking on a comprehensive application modernization journey, organizations can unlock the power of their data. One of the most immediate and impactful advantages is a substantial improvement in operational efficiency. Modernized applications are typically more streamlined, automated, and integrated, leading to reduced manual effort, fewer errors, and faster processing times. This heightened efficiency translates directly into cost savings and a more productive workforce.
Furthermore, application modernization significantly accelerates an organization's time to market for new products, services, and features. Legacy systems often involve complex, time-consuming development and deployment cycles. Modernized applications, conversely, leverage contemporary development methodologies, cloud-native architectures, and continuous integration/continuous delivery (CI/CD) pipelines, enabling organizations to innovate and respond to market shifts with unparalleled speed.
The advantages of modernizing legacy applications are not limited to large enterprises; companies of all sizes, from nascent startups to established corporations, can experience profound and numerous benefits. For smaller businesses, modernization can be the key to scaling operations cost-effectively and competing with larger players. For larger organizations, it can be the catalyst for enterprise-wide digital transformation, fostering a culture of innovation and securing long-term sustainability. In essence, application modernization is no longer an option but a strategic imperative for any organization looking to remain relevant, efficient, and competitive in the digital age.
Application modernization benefits include:
- Increased developer productivity.
- Reduced infrastructure costs.
- Better application performance.
- Faster time to market.
- More frequent releases.
- Increased customer satisfaction and retention.
- Greater business agility.
Top challenges of maintaining legacy applications
Across organizations, big and small, everyone from top executives to individual contributors grapples with the headaches of managing legacy applications. These outdated systems often slow down innovation and reduce efficiency, creating common pain points that fuel today's modernization efforts. Here are some of the biggest challenges that come with using and maintaining legacy applications.
Complexity
Legacy systems often consist of large applications with intricate and intertwined components, making updates and maintenance daunting in waterfall development processes. Their complexity can lead to longer development cycles and higher chances of introducing errors during updates.
This complexity is often compounded by the loss of institutional knowledge as team members familiar with these outdated systems leave the organization. Without proper documentation or AI-powered tooling, understanding the intricate dependencies and safely disentangling them becomes incredibly difficult, further hindering modernization efforts.
Scalability issues
When it comes to scaling, legacy apps are often supported with architectures that only allow for clunky, expensive vertical scaling. This means they struggle with global-level user volumes, making it tough to handle increased workloads or growing demands since you can't easily scale just parts of the app.
High costs and time consumption
Managing legacy applications is often expensive and time-consuming, leading to high maintenance costs. These systems typically require significant resources for maintenance, hardware upgrades, and operational support. Maintaining outdated technology can quickly become costly, redirecting funds away from innovation and development. According to numerous surveys, the biggest hurdle for developers in maintaining legacy systems is facing technical debt.
Risky deployments
Infrequent, manual deployments are common with legacy application systems. These large and risky deployments increase the likelihood of errors, downtime, and rollback scenarios. The lack of automated deployment pipelines means longer release cycles and slower time to market for new features.
Rigid databases
Legacy applications often rely on relational databases with rigid schemas. These inflexible databases slow down development as changes require careful planning and execution. Delays in updating database schemas can reduce operational efficiency, delay the delivery of new features, and necessitate application downtime for updates. Overcoming these challenges by modernizing legacy applications enables businesses to be more agile and responsive to market demands.
Common modernization strategies
Legacy debt accumulates from quick fixes that lead to more extensive rework in the future instead of implementing sustainable solutions from the outset.
Developers have various choices regarding modernizing applications to better handle today's business needs, including the below options.
Refactoring
When a company refactors, developers update the code base, improving the code without changing the application's functionality. This action allows for independent scaling and easier maintenance.
Replatforming
Replatforming an application involves updating parts of its platform, such as the underlying database, and typically necessitates some codebase modifications as well.
Rehosting or redeploying
Sometimes called “lift and shift,” this method involves moving applications to a public cloud, private cloud, hybrid cloud, or multi-cloud environment. It's a straightforward way to gain some of the cloud's benefits without extensive rework.
Rearchitecting
Rearchitecting an application may involve updating the codebase to leverage modern architectures, such as containers or microservices.
Rebuilding or replacing
Starting from scratch, while preserving the application's scope and specifications, is also an option and is useful when the existing application is too outdated or inefficient for modernization. Rebuilding or replacing an application involves starting over with a completely new codebase. One approach is to replicate the legacy application feature by feature. Alternatively, you can reimagine the application entirely, determining which features to eliminate and which new ones to introduce.
What are the key technologies for application modernization?
Every app modernization project will be unique. However, a few key technologies frequently appear in the modernization process.
Containers
Companies can containerize their applications, enabling consistent packaging and deployment across various environments—whether locally, on-premises, or in the cloud. This uniformity benefits software development at every stage, from initial development and testing to deployment and support.
Microservices
Organizations may decompose an extensive, monolithic application into several smaller, independent microservices using application modernization patterns. This architectural strategy provides numerous benefits, such as accelerating time to market, enhancing modularity, increasing flexibility, improving scalability, boosting resilience, aligning better with organizational structures, and reducing costs.
Databases
Technology teams may move from rigid relational databases to more flexible, modern databases, such as MongoDB Atlas. MongoDB databases have flexible schemas that allow for application teams to adapt as business and data needs change, which is inevitable in today’s rapidly changing business environment. MongoDB provides the option to self-manage or, with Atlas, to have fully managed instances on multiple cloud providers.
CI/CD automation
Organizations may shift from infrequent, manual deployments to frequent, automated deployments by implementing CI/CD (continuous integration/continuous delivery or continuous deployment) pipeline automation. Infrastructure-as-code (IaC) tools can be used to automate and manage the deployment of cloud resources. Atlas has an Admin API that can be used for scripting and resource providers for HashiCorp Terraform and AWS CloudFormation to quickly build, update, and manage MongoDB databases in the cloud.
Organizations often use modernization projects to build best practices and security guardrails into pre-approved and automated templates for developers to access, often called a landing zone.
A structured methodology for effective legacy app modernization
A structured and comprehensive methodology is essential for effective application modernization. Today, AI-driven tools and processes can augment traditionally human-led practices to drive speed and reduce risk.
Key phases in modernization
1. Scoping and requirements gathering:
This phase involves detailed scoping exercises to map out the existing architectural landscape and delineate clear functional and technical requirements. Stakeholder collaboration is crucial, often necessitating multiple interactions to validate and refine understanding.
2. Understanding the existing application:
A thorough analysis of the existing application is essential, including documenting functional and technical requirements and obtaining stakeholder sign-off.
3. Design and implementation:
Following requirement finalization, the design phase incorporates LLMs to assist in generating initial drafts of requirement documents and design prototypes.
4. Testing and verification:
LLMs are instrumental in quality verification, generating tests, and optimizing code to align with modern standards.
How does application modernization work with MongoDB Atlas?
One way to modernize existing apps with MongoDB is transitioning from a legacy application relational database to MongoDB Atlas. The MongoDB Atlas modern data platform centers around a fully managed MongoDB database, available in over 125 AWS, Google Cloud, and Microsoft Azure regions. Atlas is an easy-to-use and cost-effective modern cloud platform with auto-scaling and multi-cloud data distribution capabilities. These capabilities allow development teams to focus on their applications without the hassle of managing databases themselves.
When you modernize an application from a relational database to the MongoDB Atlas modern data platform, you will want to do more than "lift and shift" your database. Migrating the data from a relational database's table to a MongoDB collection would work, but the application would likely only reap some of the benefits of modernization. Instead, the team should identify how the application accesses data and create a new, transformed data model.
How MongoDB experts accelerate application modernization
While many development teams take on the migration process themselves, there’s a better way for enterprises that want to accelerate their modernization efforts and make them truly sustainable. They can contact MongoDB's expert modernization teams.
Unlike traditional professional services or bespoke LLM code conversion, MongoDB offers a software-driven solution for full-stack application modernization. Our approach integrates MongoDB’s expertise into an agentic AI orchestration platform to create a repeatable, automated process tailored to the specific needs of each organization.
This new way of modernizing helps teams restructure legacy relational data into optimal, performant document-based models, which improves data access efficiency and reduces long-term architectural complexity. And it does this by:
- Reducing manual effort by over 70% compared to traditional methods
- Helping teams ship production-ready modern systems in months, not years
- Ultimately reducing technical debt and modernizing legacy applications into modern, production-ready systems
What does MongoDB's modern, multi-cloud data platform do?
MongoDB Atlas simplifies development for a wide variety of use cases, scales globally and securely, and optimizes cost-for-performance as data needs evolve over time. It uses the document model, which is flexible and maps how developers think and code. This flexible document model adapts instantly as applications and AI models evolve, without schema overhauls or operational downtime. Developers enjoy a unified interface that allows them to work with any data generated by modern applications, with a fully integrated text search, eliminating the need for a separate search engine. With Atlas, companies can deploy across cloud regions and build modern applications faster to accelerate go-to-market timelines and secure a competitive advantage.
MongoDB Atlas also:
- Provides organizations with a flexible local data store with seamless edge-to-cloud sync.
- Offers in-place, real-time analytics with workload isolation and native data visualization.
- Runs federated queries across operational and transactional databases and cloud object storage.
- Offers a resilient, scalable, and secure platform with turnkey global data distribution for data sovereignty and industry-leading data privacy controls.
Is an enterprise-ready operational database for the AI era, enabling organizations to consolidate workloads, reduce complexity, and adapt to what’s next—without constraints.
MongoDB’s AI-ready architecture provides native support for text search, vector semantic retrieval, and real-time operational queries—without the need for bolt-on solutions. Modernized applications built on MongoDB's data platform are AI-ready, establishing a foundation that can easily integrate future AI-driven features.
MongoDB Atlas solves companies' biggest challenges by eliminating the technical debt from legacy systems’ data infrastructure. This helps drive innovation, reduce risk and operational costs, modernize their underlying infrastructure, and achieve true digital transformation.
Should you modernize your database to MongoDB?
Modernizing databases with the MongoDB Atlas modern data platform can help:
- Improve application performance.
- Reduce costs.
- Increase developer productivity.
- Strengthen resilience.
- Increase scalability.
- Enable global data distribution.
- Avoid platform lock-in.
- Accelerate AI innovation.
- Increase business agility.
- Enhance customer experience.
Summary
Application modernization can increase developer productivity, reduce infrastructure costs, allow for more frequent releases, and speed processes. You can use modernization to adapt your current application with rehosting, redeploying, replatforming, refactoring, rearchitecting, or replacing it with a new system.
Your company's competitive advantage lies in its ability to unleash the power of software and data to build richer digital experiences. MongoDB makes it easy to go from an idea to an application serving users all over the world—whether it's building a new application or optimizing an old one. Increase your development team's ability to build the next big thing and get your ideas to market faster by modernizing your database with MongoDB Atlas. For enterprise customers looking for a faster, more effective path to full-stack modernization, the MongoDB’s modernization approach provides a software-driven, AI-accelerated solution that modernizes application logic and data architecture, ensuring the resulting systems are built on a flexible, modern data foundation on MongoDB Atlas.