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Strategic Approach to VM Platform Modernization

Technology

In the fast-paced world of enterprise IT, standing still means falling behind. As a technical decision-maker, you're likely grappling with aging VM platforms struggling to meet modern demands. This path from legacy infrastructure to a modern, agile environment is critical for business success. While the benefits of hybrid cloud, Kubernetes, and containerization are clear, the journey requires careful planning and execution. Let's explore how decision-makers can strategically approach VM platform modernization.

4-phased approach to VM modernization: assess, define, implement, measure & iterate.

Hybrid Cloud Migration: Bridging On-Premises and Cloud Environments

Hybrid cloud models offer the flexibility to maintain on-premises infrastructure while leveraging public cloud services like AWS, Azure, and Google Cloud. This bridge allows businesses to scale dynamically, optimize workloads, and reduce costs.

 

Assessing Your Current Infrastructure State

Before embarking on any modernization effort, it's crucial to understand your existing infrastructure. This includes:

  • Cataloging your applications and their dependencies
  • Identifying performance bottlenecks and scalability issues
  • Evaluating current operational costs and inefficiencies

This assessment provides the foundation for your modernization roadmap.

 

Defining Your Modernization Goals

Modernization isn't just about adopting new technologies; it's about achieving specific business outcomes. Your goals might include:

  • Improving application performance and user experience
  • Enhancing scalability to support business growth
  • Reducing operational costs and technical debt
  • Accelerating time-to-market for new features and services

Clearly defined goals will guide your technology choices and implementation strategy.

 

Building a Phased Approach

Modernization doesn't have to be an all-or-nothing proposition. A phased approach allows you to:

  • Start with low-risk, high-impact projects to demonstrate value
  • Gradually build expertise in new technologies like Kubernetes and OpenShift
  • Refine your processes and tools as you scale your modernization efforts

This iterative approach minimizes disruption and allows for course corrections while benefiting from industry best practices.

 

timeline showing a 5-phased approach to VM modernization by SEIDOR Opentrends

 

Leveraging AWS, Azure, and Google Cloud for VM Modernization

As mentioned, public cloud platforms like AWS, Azure, and Google Cloud are key in VM modernization. Each offers unique tools and services to optimize and manage VM workloads:

  • AWS provides services like EC2 and Elastic Kubernetes Service (EKS) for seamless migration and management
  • Microsoft offers Azure VMware Solution (AVS), simplifying the migration of on-prem VMs to the cloud
  • Google Cloud enables modernized VM management with Anthos, which extends Kubernetes across hybrid environments

Selecting the right cloud provider—or even a multi-cloud approach—depends on your compliance, performance, and cost optimization needs.

 

Addressing the People and Process

Technology transformation goes hand-in-hand with organizational change. Consider:

  • Upskilling your team on new technologies and methodologies
  • Realigning roles and responsibilities to support a more agile IT environment
  • Fostering a culture of continuous learning and innovation

If you decide to consider the strategic advantages of outsourcing instead, here are some:

  • Access to specialized skills without the long-term commitment of hiring
  • Faster implementation of new technologies and methodologies
  • Flexibility to scale resources up or down based on project needs
  • Exposure to cross-industry insights and best practices

Partnering with experts can accelerate your modernization journey while focusing internal resources on core business initiatives. In our partnership with GBfoods, we implemented technological changes and helped foster a culture of continuous learning and innovation within their IT teams.

 

Measuring Success and Iterating

As you progress in your modernization journey, it's essential to:

  • Define and track key performance indicators (KPIs) aligned with your goals
  • Regularly assess the impact of your modernization efforts on business outcomes
  • Be prepared to adjust your strategy based on lessons learned and changing business needs

Modernization is an ongoing process, not a one-time project. Our ongoing work with the Government of Catalonia involves regular assessments of modernization efforts, allowing us to adjust strategies based on evolving needs and technological advancements.

 

 

Looking Ahead: Embracing AI and Automation

 

An AI-powered 'conductor' orchestrating a dynamic data center. Server racks glow with varying intensities, while floating resource icons (CPU, RAM, storage) flow between them based on real-time needs.

 

As you modernize your VM platform, it's crucial to consider how emerging technologies can further enhance your IT operations. AI-driven management tools and advanced automation capabilities are not just on the horizon – they're already revolutionizing how we manage hybrid cloud environments.

Our experience with a major European bank and other clients like Barcelona City Council's SmartCity initiative has shown us the transformative power of AI in modernized infrastructures. Here are some key areas where AI and automation are making a significant impact:

  • Intelligent Process Automation: Leverage AI to automate operational processes, development lifecycle analytics, and CI/CD pipelines. This includes optimizing build processes, automating code reviews, and intelligently managing deployments.
     
  • Proactive Monitoring and Incident Prevention: Utilize AI for early incident detection, anomaly identification, and predictive analytics. This encompasses Application Performance Monitoring (APM) to anticipate future needs and potential bottlenecks.
     
  • AI-Driven Testing and Quality Assurance: Employ AI-powered testing tools to generate test cases, predict high-risk areas, and autonomously execute comprehensive test suites, significantly improving code quality and accelerating release cycles.
     
  • Intelligent Hybrid Cloud Management: Use AI to manage application lifecycles seamlessly across on-premises and cloud environments, ensuring consistency and efficiency. This includes AI-based cloud performance tuning for continuous optimization of resource allocation and cost-efficiency.

 

By taking a strategic, phased approach to VM platform modernization and combine with AI-powered tools creates a robust, future-proof infrastructure capable of adapting to rapidly changing business needs.

Through our work in orchestrating, optimizing, scaling, and improving efficiency for clients across various sectors, we've developed a deep understanding of the complexities involved in VM platform modernization. This expertise allows us to guide organizations through every step of their modernization journey, ensuring tangible business benefits and long-term success.

 

 

Are you ready to chart your course toward a modernized VM platform?

Contact us