Phase 2: Assured Migration of Cloud Capacity Planning

Published on 17 January 2023

By Eliana Ward

8 min read 1 views

Published on 17 January 2023

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The cloud migration phase always includes three main steps. Before migration, you should assess and establish baselines of infrastructure and application usage and current architecture and complexity to define the approach you want to follow for migration. During the migration, you’ll use instrumentation best practices and find issues and impediments well in advance to set the stage for later. Finally, after the migration, you’ll want to show evidence of your success by comparing the new metrics to the benchmarks obtained before the migration. Or you will validate availability, performance, and pre-established error levels and ideally achieve important KPIs.

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Objectives: A fast, efficient, and low-risk migration that is in your control and validated by cloud capacity planning-centric measurements taken before, during, and after the migration.

Expected results:

Faster cloud migration with pre-migration complexity profiling. Using your current site architecture as a baseline, you can assess your migration, understand its complexity, and set priorities. It also allows you to identify dependencies and speed up the migration.
Lower risk, lower cost, and faster time to failure detection owing to capacity planning. For a quick and successful migration, detecting and fixing anomalies is crucial. The key to success is being able to observe everything. Root cause analysis, application diagnostics, and full-stack capacity planning will help mitigate risk, reduce costs, and accelerate migration.
A measurable view of migration performance. As you complete each migration step, you can compare each application’s baseline with that obtained previously. After the migration, you can compare the on-premises baseline, if available, to the one obtained in the cloud after the migration. You can also validate the availability, performance, and error KPIs.

Cloud capacity planning paves the way for a fast, efficient, and low-risk migration that is fully controlled and validated by the measurements taken before, during, and after the migration.

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