Getting started with cloud modernization

Here’s the uncomfortable truth: organizations are spending billions on cloud migrations, yet many fail to deliver the promised ROI. Why? Because moving workloads to the cloud without addressing operational visibility, runaway costs, and fragmented tooling multiplies the problem.

In this article, we’ll cover:

• Why most cloud modernization efforts stall (and how to avoid those pitfalls)
• What true cloud modernization looks like when built on the right foundation
• A phased approach to modernization that delivers measurable business outcomes
• How to choose the right path forward for your unique applications

Understanding cloud modernization

Cloud modernization refers to the process of updating existing legacy applications and infrastructure to leverage cloud-native technologies, architectures, and methodologies. This transformation goes beyond simple lift and shift migrations to embrace modern approaches like containerization, microservices, and DevOps practices.

The impetus for modernization often comes from challenges with legacy systems:

• Monolithic architectures that are difficult to update and scale
• High operational costs and maintenance burdens
• Inflexibility in meeting changing business requirements
• Limited ability to integrate with modern services and tools
• Slow deployment cycles that hamper innovation

But here’s what organizations often don’t anticipate: without unified observability and intelligent automation, cloud modernization often moves these problems to a more complex, distributed environment where they become even harder to diagnose and fix.

When done right, modernization solves these issues and unlocks entirely new capabilities. Teams move from reactive to predictive, applications become self-healing, and innovation accelerates.

Why cloud modernization matters

According to IDC, 83% of enterprises are working to rationalize and optimize their technology infrastructure, yet only 35% consider their approach to modernization effective. This gap highlights the need for thoughtful, strategic approaches to cloud modernization.

The benefits of a well-executed cloud modernization strategy include:

• Enhanced application insights: Observability solutions provide deeper visibility into application performance, dependencies, and user activity, enabling proactive optimization.
• Improved performance: Cloud-native architectures and services can dramatically improve application responsiveness and reliability.
• Cost optimization: Modernized applications typically reduce operational costs through more efficient resource utilization and automated management.
• Increased operational efficiency: DevOps practices and automation reduce manual intervention, allowing IT teams to focus on innovation rather than maintenance.
• Business agility: Perhaps most importantly, modernized applications can adapt quickly to changing market conditions and business requirements.

Essential elements of a cloud modernization strategy

Assessment and planning

Before embarking on a modernization journey, organizations should conduct a thorough assessment of their existing application portfolio. This includes cataloging all applications and their interdependencies, evaluating each application’s business value and technical debt, understanding current performance metrics and cost structures, and identifying modernization priorities based on business impact.

For example, a financial services company might prioritize modernizing its customer-facing applications to improve user experience while planning a phased approach for back-office systems.

Choosing the right modernization approach

Not all applications require the same modernization approach. The key is matching your strategy to business impact and technical reality.

Ask three key questions to guide your decision:

1. What’s the business value? Customer-facing applications typically warrant more investment than back-office systems.
2. What’s the technical debt? Minor issues suggest lighter modernization while fundamental problems require deeper transformation.
3. What’s the integration complexity? Standalone applications are easier to modernize than heavily interdependent systems.

Based on your answers, you’ll typically follow one of three paths:

The specific tactics within each path – whether you’re rehosting, replatforming, refactoring, rearchitecting, rebuilding, or replacing – depend on your application’s complexity, value, and business requirements.

Accelerating software delivery

Cloud modernization should enhance an organization’s ability to deliver software quickly and reliably. This involves implementing CI/CD pipelines for automated testing and deployment, using infrastructure as code for consistent environment provisioning, leveraging automated quality and security gates, and adopting platform engineering approaches to provide self-service capabilities for developers.

Increasing team productivity

The shift-left/shift-right approach to cloud modernization focuses on sharing responsibility between development and operations teams while maintaining centralized governance. This hybrid model provides developers with self-service capabilities, centralizes expert knowledge within platform engineering teams, maintains consistent tooling and knowledge management, and balances autonomy with governance.

Getting started with cloud modernization

To begin your cloud modernization journey, successful organizations often break the process into three clear phases:

Phase 1: Establish your foundation (months 1 to 3)

1. Define measurable outcomes such as reduced time-to-market, improved user satisfaction, or decreased operational costs.
2. Benchmark existing applications, processes, and services to create a baseline for measuring improvement.
3. Choose a pilot application that provides real business value but isn’t mission-critical, allowing your team to learn and refine approaches before tackling more complex systems.
4. Implement comprehensive monitoring and observability solutions early in your modernization process to gain insights that inform future decisions.
5. Success milestone: Complete visibility into your environment, pilot selected, and baseline established

Phase 2: Modernize and automate (months 4 to 9)

• Identify repetitive tasks and implement automation, focusing on areas that will yield the highest return on investment. Build CI/CD pipelines and automated quality gates.
• Enable self-service for development teams while maintaining centralized governance through platform engineering.
• Success milestone: Pilot in production with measurable improvements; automation reducing manual effort by 50% or more

Phase 3: Scale and optimize (months 10 and beyond)

• Expand to additional applications using lessons learned from your pilot.
• Leverage AI-powered insights for continuous optimization of costs, performance, and reliability.
• Achieve operational maturity where routine operations are automated and teams focus on innovation.
• Success milestone: Measurable ROI across applications; 40% increase in team productivity; 30% reduction in operational costs

Accelerate cloud modernization with Dynatrace

Modernizing your cloud environment helps to unlock agility, resilience, and long-term business value.

With Dynatrace, you get unified observability, precise automation, and advanced AI capabilities that help you modernize with confidence. From predictive issue detection to automatic root-cause analysis and intelligent remediation, Dynatrace enables you to scale operations, accelerate innovation, and reduce complexity—all while maintaining control and compliance.

What makes Dynatrace different:

• Unified data model: One source of truth across your entire stack eliminates tool sprawl and conflicting data. Every team works from the same real-time information, speeding decisions and collaboration.
• Causal automation: Root cause analysis happens in real-time. Dynatrace Intelligence doesn’t just detect anomalies—it automatically determines why they happened and triggers intelligent remediation capabilities through agentic AI. Teams shift from firefighting to innovating.
• Continuous topology awareness: As your environment changes constantly, Dynatrace automatically discovers, maps, and understands every component and dependency in real time. No manual configuration. No blind spots. You always know what’s running and how it’s connected.

Cloud modernization: Frequently asked questions

What is cloud modernization?

Cloud modernization is the process of evolving legacy applications and infrastructure to take advantage of cloud-native architectures, services, and operating models. It goes beyond migration to improve agility, scalability, and efficiency.

How is cloud modernization different from cloud migration?

Cloud migration focuses on moving workloads to the cloud. Cloud modernization focuses on improving how applications are built, run, and operated once they’re there—often through automation, observability, and architectural change.

What are the main approaches to cloud modernization?

Organizations typically modernize by optimizing in place (rehosting or replatforming), transforming the architecture (refactoring or rearchitecting), or replacing applications entirely with rebuilt or SaaS solutions.

How does AI accelerate cloud modernization?

AI turns observability data into actionable answers, helping teams understand dependencies, prioritize actions, and automate operations with confidence. Dynatrace AI capabilities, powered by Dynatrace Intelligence, automatically detect anomalies, identify root causes, and prioritize remediation, so teams can modernize faster without relying on manual investigation.

How do I choose the right modernization approach for my applications?

The right approach depends on business value, technical debt, and integration complexity. High-value, customer-facing applications often justify deeper modernization, while lower-risk systems may benefit from lighter optimization.

Why is observability important in cloud modernization?

Observability provides real-time insight into application performance, dependencies, and costs. It helps teams make informed modernization decisions, detect issues early, and continuously optimize as environments change.

What’s the best way to get started with cloud modernization?

Start by assessing your application landscape, defining measurable business goals, and selecting a pilot application. Establish visibility early, then modernize in phases to prove value before scaling.