by Jerod Johnson | July 28, 2022

Top 6 Virtualization Trends & How to Leverage Them

Cloud and data virtualization are top-of-mind for many organizations. The ongoing trends of affordable cloud computing and remote workforces mean more enterprises are turning to cloud virtualization than ever before. And the perpetual digital transformation means enterprise data is stored in more discrete locations than ever before, leading many businesses to turn to data virtualization as a solution.

In this article, we discuss some ongoing trends in cloud and data virtualization and highlight areas where the CData suite of connectivity solutions can help organizations manage and find value from their own virtualization efforts.

What is data virtualization?

When we talk about data virtualization, it is important to work from a set definition. For the context of our discussion here, we define data virtualization as a data management system that incorporates all an organization's data into a single platform, application, or system while leaving the data in place. Cloud virtualization is the same concept in the cloud – a connective tissue that bridges the gap between virtual production environments, virtual servers for data processing, and virtual data storage, all hosted in the cloud.

Why is virtualization important?

Virtualization is a critical process for businesses, driving higher capacity utilization and reducing costs. By virtualizing servers, storage, and networks, businesses can maximize the use of their hardware resources. This allows multiple virtual machines to run on a single physical machine, optimizing resource usage and reducing the need for physical infrastructure.

Key benefits include:

  1. Higher capacity utilization: Virtualization allows businesses to use their hardware resources more efficiently, reducing idle time and maximizing performance.
  2. Cost reduction: Fewer physical servers mean lower costs for electricity, cooling, and maintenance.
  3. Flexibility and scalability: Virtual environments can be easily adjusted to meet changing business needs, enhancing agility and innovation.

These advantages make virtualization an essential strategy for modern businesses looking to optimize operations and stay competitive in a rapidly evolving technological landscape.

Types of virtualization

Virtualization goes beyond data and is useful across your organization's infrastructure. Different types of virtualization grant you the advantages of physical infrastructure and virtualized environments simultaneously. 

Server virtualization

Server virtualization involves partitioning a physical server into multiple virtual servers, each capable of running its own operating system and applications. It optimizes hardware use, reduces costs, and simplifies server management by enabling better resource allocation and flexibility.

Storage virtualization

Storage virtualization abstracts multiple physical storage devices into a single, manageable virtual storage pool. It enhances storage management, improves data availability, and streamlines backup and recovery processes, leading to better resource utilization and simplified administrative tasks.

Network virtualization

Network virtualization decouples network resources from the physical hardware, creating virtual networks that can be managed and optimized independently. This increases flexibility, scalability, and efficiency, allowing for more dynamic and adaptable network configurations.

Data virtualization

Data virtualization integrates data from disparate sources into a single, unified view without moving the data. It facilitates real-time data access, improves decision-making, and reduces the complexity and cost associated with traditional data integration methods.

Application virtualization

Application virtualization separates applications from the underlying hardware and operating system, allowing them to run in isolated virtual environments. It simplifies application deployment and management, enhances security, and ensures compatibility across different devices and operating systems.

Desktop virtualization

Desktop virtualization enables users to access a desktop environment hosted on a remote server, providing a consistent and secure user experience. It supports remote work, simplifies desktop management, and improves security by centralizing desktop environments in a controlled data center.

10 virtualization trends

When it comes to cloud virtualization in today’s ecosystem, we're seeing ten trends come to the forefront:

  1. Shifting the focus from performance to security: As organizations adopt innovative virtualization technologies, ensuring robust security becomes paramount. With critical data hosted in virtual environments, businesses must prioritize security measures to protect against cyber threats and maintain data integrity.
  2. Expediting cloud migration: Virtualization accelerates the transition to cloud environments by simplifying the migration process. Businesses can seamlessly move applications and data to the cloud, benefiting from scalability, reduced infrastructure costs, and enhanced operational efficiency.
  3. Achieving a balance between flexibility and control in the hybrid cloud environment: Hybrid cloud strategies enable businesses to combine on-premises and cloud resources, offering greater flexibility and control. Virtualization technologies facilitate this balance, allowing organizations to optimize workloads and manage resources effectively across different environments.
  4. Implementing intelligent infrastructure management through artificial intelligence: AI-driven virtualization enhances infrastructure management by automating tasks and optimizing resource allocation. Businesses can leverage AI to monitor virtual environments, predict system failures, and ensure optimal performance, leading to increased efficiency and reduced operational costs.
  5. Increased access to data across the organization: Data virtualization breaks down data silos by providing a unified view of data from disparate sources. This enhances data accessibility, enabling employees to perform self-service analytics and make informed decisions without relying on IT for data integration.
  6. Increased flexibility in virtualization hosting: With various cloud platforms and container-based services available, businesses have more choices for hosting their virtual infrastructure. This flexibility allows organizations to select the most suitable environment for their needs, whether it be high-performance virtual machines or distributed processing across multiple smaller VMs.
  7. Wider integration of edge environments: Edge virtualization allows businesses to process data closer to its source, improving response times and reducing latency. By adopting edge computing, organizations can deploy virtualized applications on small-scale devices, enhancing data processing and management in real-time.
  8. Improved security: Leveraging trusted cloud providers for virtualized services offers a baseline level of security. Businesses can further enhance their security posture by implementing additional controls and centralized administration, ensuring that data and applications remain secure in the virtual environment.
  9. Increased responsiveness to customer needs: Cloud-hosted applications can be updated and scaled quickly, enabling businesses to respond to customer requirements more effectively. This agility supports continuous improvement and innovation, enhancing customer satisfaction and competitive advantage.
  10. Increase in time spent on optimizing performance: With simplified provisioning of virtual machines, IT teams can focus on performance optimization. Monitoring and adjusting resource allocation ensures that virtual environments run efficiently, providing better service levels and cost management.

By understanding and leveraging these virtualization trends, businesses can enhance their operational capabilities, improve security, and drive innovation.

The future of virtualization

Virtualization is poised for significant advancements, particularly through enhanced AI integration, which will automate resource management and improve system resilience. The expansion of edge computing will become crucial for IoT and real-time data processing, allowing data to be processed closer to its source and reducing latency. Hybrid cloud solutions will advance, offering better integration of on-premises and cloud resources, while no-code/low-code platforms will democratize virtualization technologies.

However, these advancements come with challenges. Security concerns will intensify, requiring advanced measures to protect against cyber threats. Efficient resource management and ensuring interoperability between diverse systems will be critical. Additionally, the rapid pace of technological change will necessitate addressing skill gaps through continuous training and education. Businesses must strategically plan to leverage emerging technologies while mitigating these potential risks.

The future of data virtualization is CData

CData Virtuality offers comprehensive data streaming support, enabling seamless virtualized connectivity to over 200 enterprise data sources, including popular streaming services like Amazon Kinesis, Apache Kafka, and Google Cloud Dataflow. CData Virtuality handles the complexities of data connectivity and integration so you don’t have to, ensuring your data streams are always accessible and actionable.

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