11 Steps to Successfully Modernize Your Organization's Applications for the Cloud

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. Inventory Your Applications

    Application modernization is a process, not an event. Many cloud-native apps have been developed for the cloud, but there are also legacy applications that need to be migrated to this new environment. 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. We are sharing our most often cited 11 steps towards developing a cloud strategy where organizations can modernize their application and infrastructure operations by moving their applications from on-premises servers to hybrid cloud and public cloud architectures.

    2. Determine Your Cloud Strategy

    Once you know what applications you’re working with, it’s time to decide what cloud strategy would work best for your organization. Do you want to go all-in on the cloud? Or will a hybrid cloud model be more beneficial? This is an important step and needs careful consideration as the decisions made here can affect every process moving forward.

    3. Identify Your Application’s Limitations

    It is critically important to identify an application’s limitations and use that information when deciding on cloud architecture moving forward. For example: if your cloud-native app has limited functionality because of data locality, that will define the path to modernization and migration for you. This is where dependencies must be uncovered and documented, and some may be found the hard way. Be prepared to discover the “unknown unknowns” about your applications and set your strategy to deal with those limitations to be successful.

    Balance Performance & Utilization

    Full-stack analysis of both application and resource layers enables optimal workload allocation to assure performance with minimized overhead.

    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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