Beyond “Lift and Shift”: Navigating the Nuances of Application Modernization

Most of the organizations are struggling with the rapidly changing landscape, and it is getting tough for them to stay profitable while working with their traditional methods.

Businesses are turning towards Application Modernization so that they can fight the current market and come out on top of it.

However, the process of modernization is not something you can easily do; it depends on several factors such as operational cost, time taken, asset management, coding infrastructure, and many more.

There are some strategies on the market, the best of which we will discuss in this article.

You can only make the right decision once you understand the strategies, such as Rehost, Replatform, Refactor, Repurchase, Retain, and Retire.

With a proper understanding of this, you can make better decisions and maximize your profits, ROI, and legacy application modernization.

Snapshot of 6 Rs in application modernization: Rehost, Replatform, Refactor, Repurchase, Retain, Retire.

The Framework of Application Modernization: A Strategic Approach

The Six Rs method provides a framework that can be helpful in evaluating and then choosing the most suitable modernization strategy for each application.

1. Rehost (Lift and Shift)

Rehosting, or ID shifting in layman’s terms, allows me to explain this process further.

You move the application and its data from an on-premises environment to a cloud infrastructure without changing anything in the existing code.

It is very similar to moving furniture into a different house, but without rearranging it.

This kind of strategy works great with organisations that are aiming for quick wins and faster cloud adoption.

You can use this strategy for non-critical applications and with tighter deadlines.

This offers instant cost savings by utilising the cloud scalability and managed devices.

Benefits:

  • Speed: Fastest path to the cloud.
  • Cost-effective (initially): Minimizes upfront investment in redesign.
  • Low risk: Fewer changes mean less potential for introducing new bugs.

Considerations:

  • Limited cloud-native benefits: Doesn’t fully leverage cloud-specific features, such as serverless or advanced managed services.
  • Potential for technical debt transfer: Existing inefficiencies or architectural issues may persist in the cloud.

2. Replatform (Lift, Tinker, and Shift)

Replatforming is nothing but making small changes to the applications before uploading them to a cloud infrastructure.

This strategy works because you do not have to do an entire overhaul of changes.

For example, this is similar to shifting your furniture to a new house, but before doing so, you apply some paint and make minor adjustments.

This will take your application from an on-site managed database to a cloud-operated infrastructure.

Replatforming is done when you want to gain cloud benefits but do not want to change a lot.

This mimics rehosting but with some additional efforts, which in turn saves a ton of cost that would have been spent on the full re-architecture.

This is the sweet spot for applications that can benefit from the cloud and get better functionality, scalability, and reduced operational costs.

Benefits:

  • Enhanced efficiency: Leverages cloud-native features for better performance and resource utilization.
  • Moderate cost savings: Can reduce operational costs more than rehosting.
  • Reduced risk compared to refactoring: Core architecture remains largely intact.

Considerations:

  • Requires some code changes: Introduces a moderate level of complexity.
  • May not fully unlock cloud potential: Still retains some legacy constraints.

3. Refactor (Re-architect)

Refactoring or re-architecting is the process of changing an application’s internal architecture without changing its external behaviour or functionality.

This is done to improve the application’s design, management, scalability, and performance.

This is achieved by breaking down monolithic applications into microservices, containerizing them, or adopting serverless architecture.

This approach is best for critical business applications that require significant improvements in agility, scalability, performance, and cost-efficiency.

This is also opted for when the existing infrastructure is hindering innovation and causing the organisation to accumulate debt.

Benefits:

  • Maximized cloud benefits: Fully leverages cloud-native services and elastic scalability.
  • Improved agility and innovation: Enables faster development cycles and easier integration of new features.
  • Reduced technical debt: Cleans up code, improves maintainability, and enhances security.

Considerations:

  • High effort and cost: Requires significant development resources and time.
  • Higher risk: Introduces more potential for errors due to extensive code changes.
  • Significant business disruption: Requires careful planning and execution to minimize downtime.

4. Repurchase (Replace)

Repurchasing, or better known as “drop and shop,” is a process where you dump the existing application because of its old infrastructure and replace it with a new one.

This is just like exchanging your old phone for a new one with the latest features.

This is done when the existing application is no longer operating as it should and is hampering the overall functionality of the organisation.

The current application may be outdated, and a more advanced SaaS solution is available on the market to deliver better results.

This situation also benefits the cost department because, in place of spending the entire buying amount of the application, you are only paying a fraction of the price because you are using it as a service.

Benefits:

  • Rapid time to market: Leverages existing solutions, reducing development time.
  • Reduced maintenance burden: Shifts responsibility to the SaaS provider.
  • Access to cutting-edge features: Benefits from continuous updates and innovations from the vendor.

Considerations:

  • Vendor lock-in: Dependence on a third-party provider.
  • Limited customization: May not perfectly align with unique business processes.
  • Data migration complexity: Transferring data to a new system can be challenging.

5. Retain (Do Nothing)

Retaining means maintaining the application in its current state without changing anything.

This can be on-premises or in a cloud environment.

This is like deciding your current house is perfectly fine and requires no immediate changes.

This strategy is viable for stable applications that meet current business needs, have minimal dependencies, and offer a low return on investment for modernization efforts.

It’s also an option for applications nearing the end of their useful life but still providing essential functionality.

Benefits:

  • Lowest cost: No upfront investment in modernization.
  • No disruption: Business operations remain unchanged.

Considerations:

  • Accumulation of technical debt: Continued use of outdated technology.
  • Missed opportunities: Fails to leverage cloud benefits or improve efficiency.
  • Potential for future issues: May become a liability as technology continues to evolve.

6. Retire

As the name suggests, this is the process of trashing the application that is no longer of use and serves no purpose to the organisation.

This is only used for applications that are no longer of use and provide no business value to the organisation.

Benefits:

  • Doing this reduces operational cost since the entire application will shut down.
  • Once the application is out of commission, the drain on IT will also lessen, and they can redirect the resources somewhere else.

Considerations:

  • Make sure that before removing the application from the service, you have archived all the data for use if necessary.
  • Impact assessment: Identifying and mitigating dependencies on the retired application.

 

Decision tree showing which 'R' strategy fits best for app modernization: rehost to retire options.

Choosing the Right Path: A Strategic Approach

Several factors go into deciding which modernization strategy to choose for any application, some of which are mentioned below.

  • The business value of the application and how much it caters to the business operations.
  • The health of the application’s code or technical help, does it require work, or is it good as is?
  • Risk assessment, what will be the impact of modernization, and what will be the harm if we do not modernize?
  • The cost of all the resources involved in the process and the time it will take for the process to finish.

Conclusion

This article covers the intricacies of the application modernization process and how you can make the right decision in terms of strategy.

This article explores different strategies that are beneficial to an organisation but vary from application to application.

Since you can never choose the same path for two applications because their infrastructure and functionality will be completely different.

The Rehost, Replatform, Refactor, Repurchase, Retain, and Retire approach allows us to make the best decision based on data and choose the most cost-effective method.

Comparison table showing key feature shifts from replatform legacy apps to modernized cloud apps.

Still working around outdated systems or unsure how to start modernizing your applications?

Well, it’s time to change, and that’s exactly where Vertex CS comes in.

We’re your partners in building smarter, faster, and more adaptable systems.

Whether you need help moving to the cloud, updating legacy applications, or figuring out the right strategy, we’re here to make the process easier, clearer, and built around you.

Take a look at our services and let’s talk about how we can help you move forward with confidence.

The DevOps Evolution: Platform Engineering and Its Role in 2025

Software development and operations are constantly changing landscapes, driven by the pursuit of efficiency and speed.

In the last decade, DevOps has been the centre of a transformative movement.

In this, they have broken down walls between development and operations and were able to foster collaboration that can automate the software delivery cycle, a feat of its own.

However, that is not enough in today’s time.

Organisations are navigating a much complex cloud-native structure and microservices, and they demand better developer productivity.

This births a new paradigm that is now taking on the space known as Platform Engineering.

Platform Engineering is the next step in DevOps as it offers a structural approach to the underlying complexities of today’s modern software delivery.

This is far from just being a buzzword.

In this article, we will look into the evolution from DevOps to Platform Engineering and will understand what role Platform Engineering plays in today’s organizations and their dynamic field.

Infographic on platform engineering: self-service portals, curated toolchains, automated infra, developer centric design.

The Evolution from DevOps to Platform Engineering

DepOps core unifies development and operations for faster and more reliable software releases.

Cultural integration and continuous delivery, being the two pillars of DevOps, have been able to provide significant improvements in the past decade.

However, the modern world is moving too fast for DevOps to catch up.

Complex modern IT environments demand more than DevOps can handle; for example, implementing and scaling DevOps across a large, diverse team is challenging because we can now expect every developer to possess deep expertise, and the infrastructure becomes unrealistic, which results in delays and certain bottlenecks. 

Platform Engineering is the answer to all the scalability challenges, as it is built upon the core principles of DevOps but with its own layer of abstraction and standardization.

The major difference between DevOps and Platform Engineering is that in Platform Engineering, we do not focus on individual teams and their sets of tools or infrastructure.

Instead, we focus on building self-service capabilities, curated toolchains, and automated infrastructure that simplify the underlying complexity for developers.

In simpler ways, Platform Engineering aims to treat internal developers as customers and to productize the infrastructure and operational tooling.

With this shift, development teams can focus on building a business without worrying about the issues of infrastructure management.

The change from DevOps to Platform engineering is crucial for a well-established, structured, scalable, and developer-centric approach to software delivery.

Infographic on trends: IDPs, AI & Automation, GreenOps, Enhanced DevEx, Built-in Security with DevSecOps.

Key Trends Driving the Evolution

The trends that are fueling the Evolution of DevOps to Platform Engineering are mentioned below.

Infrastructure complexities and Cloud-Native Structures: 

The frequent adoption of cloud-native technologies, such as Docker and orchestration platforms like Kubernetes, along with microservices, has made working with these technologies complex.

Managing these distributed environments and then delivering the desired results requires specialized skills and tools.

Platform Engineering has the required means through which we can overcome these complexities and help developers by offering them a simplified interface to work and interact with such powerful technologies. 

The Need for Enhanced Developer Experience (DevEx): 

In today’s time, retaining a talented developer is crucial; a poor developer can bring in a lot of friction and will cause an overload of work, resulting in decreased productivity and dissatisfaction from the stakeholders.

Platform Engineering directly addresses this by providing self-service tools and automated workflows, along with improving DevEx. 

DevOps Practices: 

When an organisation grows, they have to revisit the implementation of DevOps through the new teams, and this poses a challenge.

However, this is not the case with Platform Engineering; you get a centralized approach with Platform Engineering, and it ensures consistency and best practices for each and every organization.  

Enhancing (DevSecOps): 

We have to periodically enhance the security of software during its development cycle.

Platform Engineering plays a vital role in implementing security controls in the infrastructure and platforms, ensuring that the development cycle remains unharmed. 

Everything (IDPs): 

IDPs, or Internal Developer Platform, is a core component of Platform Engineering.

They are used to provide a self-service portal for the developers so that they can use the necessary infrastructure tools.

This reduces the reliance on the operations team for routine tasks, speeds up development cycles, and promises a better developer anatomy. 

Artificial Intelligence (AI) and Automation: 

Incorporating AI into platforms can automate many tasks, such as infrastructure provisioning, resource allocation, anomaly detection, and incident response.

This will further increase efficiency and reduce manual effort for platform teams. 

Infrastructure as Code and GitOps: 

Managing code through GitOps provides transparency, control of versions, and automation.

These are helpful in creating a reliable platform with fewer vulnerabilities. 

The Role of Platform Engineering in 2025

Platform Engineering in 2025 is going to play a vital role in the development of several industries and organizations, and we have listed some of them for you below:

Simplifying Complexity: 

Developers face a major obstacle in the complexity of cloud-native environments.

Overcoming this hurdle is crucial for better efficiency.

Now, Platform Engineering does this by providing developers with a friendly and consistent experience.

This enables them to focus on writing code and delivering features without ever needing deep infrastructure expertise. 

Enhancing Developer Productivity: 

Platform Engineering offers self-service capabilities, along with automated workflows and curated toolchains.

This lightens the developers’ workloads and makes them more efficient and productive. 

Improving Operational Efficiency: 

If there are repetitive tasks, Platform Engineering will automate them.

This is simple math, and it saves us resources and time and ensures the reliability and scalability of the underlying infrastructure.

This leads to improved operational efficiency.

Strengthening Security and Compliance: 

Platform Engineering can help organisations effectively when they have already embedded security controls and compliance policies into their platform.

This will make the onboarding of DevSecOps practices smoother and with fewer vulnerabilities, ensuring compliance with regulatory requirements. 

Enabling Faster Time-to-Market: 

After Platform Engineering, the self-service nature of the internal developer and the automation provided help smooth the process of software delivery, enabling organisations to respond more quickly to market demands. 

Fostering Collaboration: 

Platform Engineering provides a centralized foundation that fosters collaboration between the development and operations teams.

Thus, it provides a common platform and shared understanding of the infrastructure. 

Optimizing Costs: 

Platform Engineering promotes infrastructure management and resource utilization to the full extent.

This helps in optimizing the cloud and infrastructure costs for the organisation. 

Platform Engineering Best Practices

Organisations should comply with these best practices to implement and benefit from Platform Engineering. 

  • Treat the Platform as a Product: The best practice any organisation can adopt is to treat its internal developers as customers. It should listen to and understand their needs and gather as much feedback as it can. Then, based on the feedback, it should define a clear plan of action that will help the developers reach their goal. 
  • Focus on Developer Experience: They should prioritize the developer and the experience and ensure self-service portals, clear documentation, and optimized workflows. This will help minimize the load and maximize the developer’s satisfaction. 
  • Build Self-Service Capabilities: If the developers are provided with self-service tools and infrastructure, then they will not have to rely on the operations teams, and this will accelerate workflows. 
  • Automate Everything Possible: Try automating all the repetitive tasks, infrastructure provisioning, deployments, and security checks. Automation is the answer for improving efficiency and reliability. 

The Future of DevOps and Platform Engineering

If we are to see and talk about the future of DevOps Platform Engineering, then it can be defined by the trends and key aspects mentioned below. 

Increased Adoption of AI and Autonomous Systems: 

AI incorporation will be over 50%, and there will be automated platform operations, predicting potential issues and optimizing resource utilization.

These systems will be self-enabled and become more prevalent with time.

IDPs will become more intelligent, offering personalized recommendations based on developers’ usage patterns. 

Greater Focus on Sustainability (GreenOps): 

Sustainable practices in platform engineering will include optimizing resources to the full extent and eliminating the infrastructure’s carbon footprint. 

Enhanced Security and Compliance Automation: 

Security will be a major concern, and to overcome this concern, AI-powered tools will be available that can detect any possible vulnerability and enforce policy and compliance management. 

The future of DevOps is intertwined with the evolution of Platform Engineering, as Platform Engineering provides a framework through which you can achieve your goal of DevOps scaling in environments.

Many say DevOps is being replaced by Platform Engineering.

Well, in my opinion, it is like phasing into an evolved stage of DevOps.

This stage is more focused on building a robust, scalable, and developed platform. 

Conclusion

2025 is the year in which Platform Engineering will come on top as the next step in the evolution of DevOps.

The structures and self-service platforms that reduce the complexities of the modern infrastructure empower developers, enhance their operational efficiency, and speed up software delivery. 

The future is AI, and its incorporation in IDPs will result in a better path for automation in Platform Engineering.

Platform Engineering is paving the path for better, more secure, and developer-friendly software delivery in the coming year.

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