What is Workload Placement?

Workload Placement is the strategic process of determining the optimal location for running an application or workload by taking into account factors such as performance, cost, and compliance requirements. This process helps organizations to maximize efficiency and minimize costs, while ensuring that they meet any regulatory or industry-specific requirements.

In today’s increasingly complex and dynamic IT landscape, it’s essential to make informed decisions about where to run workloads. Whether you’re leveraging on-premises, hybrid, or multi-cloud environments, workload placement is a critical component of your infrastructure management strategy.

Key Factors in Workload Placement Decisions

When deciding on workload placement, organizations should carefully evaluate several factors to ensure that they make the best choice. Some of these factors include:

Intelligent Cost Comparison: By gaining detailed cost comparisons, you can build compelling business cases to justify specific cloud migrations. This allows you to uncover actionable data insights that justify moving some workloads to the cloud while keeping others on-premises or in a private cloud environment.

Optimized Workload Placement: Leverage the tools necessary to customize, add, remove, and recalculate dependencies to optimize your migration plan. This enables you to plan innovative, any-to-any migrations with better decisions about workload priorities, groups, dependencies, and deployments.

Multi-cloud Rightsizing: Evaluate collected performance and sizing data to compare costs across multiple public clouds. By facilitating the most efficient configurations based on risk, performance, and consumption, you can select the best-fit public or private cloud provider based on your needs.

Resource Planning: Accelerate application dependency mapping discovery and “move group” definitions. Leverage data science algorithms to quickly identify application dependencies and separate business applications from shared services. Discover suggested application “move groups” that drive improved analysis and more efficient migration strategies.

Visibility and Testing: Gain visibility into how your applications interact with each other, which is critical in making the right data center decisions. Test what-if scenarios before your migration events, helping you decide where and when to move your applications. This understanding enables you to optimize your current environment, whether you stay on-premises or migrate to the cloud.

The Role of Virtana in Workload Placement

Virtana’s hybrid cloud transformation platform provides organizations with the tools and insights they need to make informed workload placement decisions. With solutions like Infrastructure Performance Management, Capacity Planning, and Cloud Cost Management, Virtana enables IT teams to optimize performance, control costs, and ensure compliance across their infrastructure.

With Virtana Platform, organizations can gain a comprehensive understanding of their infrastructure and workloads, allowing them to make data-driven decisions about where to run their applications for optimal performance and cost efficiency.

Suggested Reading and Related Topics

  • Application Mapping: Learn how application mapping can provide better visibility into your IT environment and improve workload placement decisions.
  • Cloud Optimization Guide: Discover best practices for optimizing your cloud infrastructure, including tips for effective workload placement.
  • Infrastructure Observability: Understand the importance of infrastructure observability in managing workloads and making informed workload placement decisions.
  • Capacity Planning: Explore how capacity planning can help you make the right workload placement decisions to ensure optimal performance and cost efficiency.
  • Hybrid Cloud: Learn about the benefits of hybrid cloud environments and how they can impact workload placement strategies.