Top 10 Cloud Migration Mistakes to Avoid

Are you trying to transition to the cloud? It can be challenging to decide what cloud architecture will work best for your organization and how you should go about migrating all your existing data.

This article discusses the benefits of IBM Turbonomic and outlines how you can successfully modernize.

    Some Of What You Will Find In The Whitepaper

    1. Building Cloud Environments on a Shaky Foundation

    Before any workload migrates to the cloud, it is vital to define the foundation for an organization and subsequent business units. Set up a secure and federated network topology and define the organizational structure and roles to make it easier to govern, manage and control moving forward.

    Managing cloud deployments at scale are inherently complex and implementing logical hygiene allows for easier management and alignment with third-party solutions to help control your cloud environment. If organizations implement best practices from day one it is easier to maintain, but as the cloud estate grows, it becomes increasingly more difficult to backtrack and restore order.

    2. Cost Reduction as the Primary Driver of Cloud Migration (instead of Focusing on Applications)

    Focus on the Application The goal of the cloud is not merely to rehost applications. Organizations must be deliberate as to why each application should live in the cloud. The best cloud migration strategies start from the application down. It is critical to understand each application’s behavior, resource utilization patterns, dependencies, and requirements to inform the migration strategy. Organizations that are successful often start with simple applications, (for example web applications) with a simple topology where the dependencies and application tiers are well identified and documented.

    Simulate Migration Plans

    Simulate full migration plans and find optimal cloud configurations for your assets before you migrate.

    Maximize Cloud Savings

    Automatically tracks cloud offerings and recommends (or even enacts) cost-saving solutions.

    Real-Time Performance Optimization

    Prevents issues before they occur with real-time analysis and automatic resource allocations.

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