<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Migration | The AWS Blog</title><link>https://theawsblog.com/tags/migration/</link><description>Articles, tutorials and insights from the AWS community.</description><generator>Hugo</generator><language>en</language><managingEditor>@theawsblog (The AWS Blog)</managingEditor><webMaster>@theawsblog</webMaster><lastBuildDate>Wed, 24 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://theawsblog.com/tags/migration/index.xml" rel="self" type="application/rss+xml"/><item><title>AWS Transform makes migration assessments more conversational, but data quality still wins</title><link>https://theawsblog.com/news/emiliano-montesdeoca/aws-transform-migration-assessments/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><author>Emiliano Montesdeoca</author><guid>https://theawsblog.com/news/emiliano-montesdeoca/aws-transform-migration-assessments/</guid><description>AWS Transform assessments use agentic AI to turn migration planning into an interactive business-case workflow, but builders still need inventory discipline and assumption control.</description><content:encoded>&lt;p&gt;Migration assessments are rarely wrong because the spreadsheet formula is hard. They are wrong because the inventory is incomplete, assumptions are stale, and the business case changes every time a stakeholder adds context.&lt;/p&gt;
&lt;p&gt;The AWS Migration &amp;amp; Modernization Blog post on &lt;a href="https://aws.amazon.com/blogs/migration-and-modernization/accelerating-migration-assessments-and-planning-with-aws-transform/"&gt;accelerating migration assessments and planning with AWS Transform&lt;/a&gt; is interesting because it treats assessment as an interactive workflow instead of a static report.&lt;/p&gt;
&lt;h2 id="what-changed"&gt;What changed&lt;/h2&gt;
&lt;p&gt;AWS Transform assessments can ingest inventory data from common discovery sources, generate a TCO business case, recommend AWS targets, and then let teams refine assumptions through chat. The source article shows examples such as adding missing servers, adjusting on-premises costs, modeling non-EC2 services, and exploring what-if scenarios.&lt;/p&gt;
&lt;p&gt;That changes the assessment loop. Instead of recollecting data and regenerating a report for every new question, teams can refine the model conversationally.&lt;/p&gt;
&lt;h2 id="why-builders-should-care"&gt;Why builders should care&lt;/h2&gt;
&lt;p&gt;Migration planning is full of partial information. A CMDB misses servers. RVTools exports do not capture every cost. Licensing assumptions change. Some workloads are heading to managed services, not EC2. Finance wants a different depreciation model. Application owners remember a dependency late in the process.&lt;/p&gt;
&lt;p&gt;An interactive assessment tool can keep momentum when those changes happen. That is valuable during early planning, executive conversations, and portfolio prioritization.&lt;/p&gt;
&lt;p&gt;But the output is only as good as the inputs and assumptions.&lt;/p&gt;
&lt;h2 id="the-trade-offs"&gt;The trade-offs&lt;/h2&gt;
&lt;p&gt;Conversational planning can make weak assumptions feel more authoritative than they are. A polished business case is still a model.&lt;/p&gt;
&lt;p&gt;Builders and migration leads should keep three things explicit:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Data source quality:&lt;/strong&gt; where inventory came from, when it was collected, and what is missing.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Assumptions:&lt;/strong&gt; utilization, licensing, storage growth, network costs, support model, and target services.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Decision status:&lt;/strong&gt; directional estimate, planning baseline, or approved migration wave.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;AWS Transform can help generate and adjust the assessment, but it should not replace stakeholder validation. Application owners, finance, security, and operations still need to review the model.&lt;/p&gt;
&lt;h2 id="what-to-do-next"&gt;What to do next&lt;/h2&gt;
&lt;p&gt;Use AWS Transform early, but label the results honestly. Start with directional estimates, then improve confidence as discovery data gets better.&lt;/p&gt;
&lt;p&gt;A practical workflow:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Import existing inventory instead of waiting for perfect data.&lt;/li&gt;
&lt;li&gt;Generate a first-pass business case.&lt;/li&gt;
&lt;li&gt;Use chat to add known missing costs and workloads.&lt;/li&gt;
&lt;li&gt;Review assumptions with finance and platform teams.&lt;/li&gt;
&lt;li&gt;Convert high-confidence groups into migration waves.&lt;/li&gt;
&lt;li&gt;Reassess after each wave to improve the next one.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The useful takeaway is that migration assessments can become living documents. That is a big improvement over static PDFs, as long as teams keep data quality and assumption ownership visible.&lt;/p&gt;</content:encoded></item></channel></rss>