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Workload Fit Reports

Quickly develop a migration plan with optics into workload migration costs and load scenarios.

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Quickly develop a migration plan with optics into workload migration costs and load scenarios.

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This workload fit report is where we'll start.

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We want to see how our existing workloads would map to the cloud.

Let's begin by understanding our workload patterns today.

We want to see how our existing workloads would map to the cloud.

Let's begin by understanding our workload patterns today.

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To divide our workloads into clusters we'll start by filtering for our desired applications. We've made some selections.

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This heatmap shows us a visual representation of the current workload usage.

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Looks like there are some usage patterns to be noted. This could be used to more effectively distribute our workloads.

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Now that we know exactly what that workload looks like, let's explore our different cloud topology options.

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We've selected Amazon EMR to create our example cloud instance. Unravel supports a number of options, from Google Dataproc to Azure Databricks.

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With our parameters established, we can now take a look at our calculated costs for different SLA thresholds.

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This chart breaks down our potential cloud costs by hour, month, year.

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Looks like our estimated costs are just north of $10,000. Let's see how we might bring this down.

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Here we see that we could bring these costs down significantly (33.19%) by leveraging auto-scaling.

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All Done!

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Automated Cluster Discovery

Quickly develop a migration plan with a data-driven understanding of your clusters today.

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All Done!

Use the bottom-right menu to explore more demos or click the link below to book a live demo.

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Services & Version Compatibility Report

Perform a comprehensive compatibility audit before you lift and shift.

Services & Version Compatibility Report

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First, we need to select a target platform. Let's stick with Google Dataproc.

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Now, we just need to review the compatibility for appropriate version. It's that simple.

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A red color band indicates that this service is missing from the target platform version.

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A orange color band indicates that the version we're currently using is not compatible with the target platform version. Some code modifications may be required to ensure a smooth transition.

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Lastly, a green color band indicates that this service is compatible with the target platform version.

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Now imagine how many unexpected delays could be avoided by having a clear picture of existing service compatibility on your target platform.

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All Done!

Use the bottom-right menu to explore more demos or click the link below to book a live demo.

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