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Cloud modernization is essential for organizations aiming to stay competitive in a fast-evolving digital landscape. While the cloud offers flexibility, scalability, and efficiency, transitioning from legacy systems can present challenges. In this post, we’ll explore common roadblocks our clients face during cloud modernization, and the practical solutions our consultants provide to ensure a smooth transition.

Complexity of Data – Compatibility and Integration

Challenge: Legacy systems often come with outdated architecture, custom-built integrations, and monolithic applications that are difficult to adapt to modern cloud environments. Compatibility, dependencies, and interoperability issues can complicate cloud modernization efforts.  

Solutions:

  • Replacement of Legacy Applications: In some cases, legacy applications must be replaced with modern solutions to allow an effective cloud migration.
  • Phased Migration Strategy: Organizations can start migrating non-critical workloads to the cloud instead of attempting a complete overhaul. This allows teams to become familiar with the new environment before tackling more complex systems.
  • Application Modernization: Breaking down monolithic applications into smaller, manageable services that can be independently updated and scaled makes the transition more seamless and reduces risk.

Security and Privacy Concerns

Challenge: Security is a top concern for businesses, especially those handling sensitive data. Cloud environments introduce new security risks, including data breaches and a lack of visibility into infrastructure.

Solutions:

  • Implement a Shared Responsibility Model: Understand that security is a shared responsibility between the cloud provider and the organization. Providers handle the infrastructure’s physical security, while businesses must focus on securing data and applications.
  • Leverage Cloud-native Security Tools: Use built-in cloud security features like encryption, access control, multi-factor authentication, and automated threat detection. Additionally, regularly audit and monitor cloud environments for vulnerabilities.

Cost Management

Challenge: Unplanned cloud costs can spiral quickly, particularly if organizations don’t adjust to the cloud’s pay-as-you-go model. Legacy systems might have been built with a static infrastructure cost in mind, making budgeting in the cloud more challenging. Adopting cost transparency and understanding the breakdown of expenses are crucial for managing spending.

Solutions:

  • Implement FinOps: Financial Operations (FinOps) is a practice that brings together finance, technology, and business teams to manage cloud costs more effectively. FinOps ensures teams can optimize cloud usage by providing real-time visibility into spending.
  • Utilize Cost optimization tools: Many cloud providers offer tools like AWS Cost Explorer or Azure Cost Management to monitor and predict usage patterns. To avoid surprises, set up automated alerts when resources exceed defined budgets.

Data Governance

Challenge: Maintaining data consistency, integrity, and regulatory compliance can be difficult in the cloud, particularly when data is in multiple locations and services. As a result, inconsistencies, security risks, and non-compliance could arise.

Solutions:

  • Establish Data Governance Policies: Policies should be clearly defined and implemented to direct the management, accessibility, and security of cloud data.
  • Utilize Data Management Tools: Implement data management tools, including automation and Machine Learning, to provide cataloging, metadata, and tracking.
  • Implement Data Consistency and Integrity Processes: By setting up validation and reconciliation processes, such as encryption and hashing, data can be protected during transmission and storage
  • Provide Data Visibility and Control: Monitoring tools to track data usage, access patterns, and data masking can prevent unauthorized use of data.

Skills Gaps

Challenge: Many IT teams lack the specific expertise needed for cloud migration, which can lead to errors, inefficiencies, and slower adoption.

Solution:

  • Leverage Third-party Expertise: If internal resources are limited, consider hiring cloud consultants for a smoother transition. This can bridge the technology gap while your team is trained and adapts to a new skill set.

Case Study

Business Challenge: Our client, a large luxury goods retailer, was implementing a large cloud modernization project and realized gaps in their skillsets, specifically IaaC and AWS Cloud Development Kit (CDK).

Solution: ClearBridge provided a Cloud DevOps SME who provided both hands-on engineering and consulting/advising for AWS Cloud and DevOps/IaaC.

Impact: Our consultant’s expertise allowed for infrastructure enablement for our client and unlocked the ability for the entire organization to provision its own infrastructure without the support of Infrastructure and Operations.

Final Thoughts

Cloud modernization, while challenging, is crucial for businesses looking to future-proof their operations. By addressing common challenges such as legacy system complexity, security concerns, cost management, data governance, and skills gaps, organizations can set themselves up for success in the cloud. With the right strategies in place, cloud modernization becomes a catalyst for innovation and growth.

If you need help bridging the technology gap for cloud modernization, contact ClearBridge to learn about our cloud modernization solutions.