Map your IT estate to your provider of choice. Quickly ingest services from your current cloud vendor or on-premises estate & generate automated mappings to other cloud services.
Compare migration scenarios. Get right-sized bills of materials, cost forecasting, carbon footprint and compare scenarios (e.g. like for like vs. modernized).
Download Business Case Builder factsheet
Get the migration started. Txture offers 6R app assessment (readiness, risk, timing) and supports solution architecture generation (IaaS, PaaS, CaaS - right-sized bills of materials per app, cost and carbon footprint estimates).
Keep stakeholders aligned. Migration governance & reporting, continuous application & infrastructure repository.
Download Application Transformation Cockpit factsheet
Understand your current carbon footprint & build a greener cloud portfolio. The Txture platform provides you with a clear overview of the carbon footprint of your entire cloud estate. Find greener alternatives to your most cost- and carbon-intense services.
⚠️ Did you know? Using services that run on AMD components leads to average emission reductions of 15%*.
*Based on AMD instances on Google Cloud, 2023-2024. Find stats for AWS estates at the bottom of the page.
Optimize cloud costs with Txture. Compare cloud costs easily: Providers, tech, & pricing models. Find cost-efficient services that suit your needs.
⚠️ Did you know? Upgrading servers to recent AMD processors can significantly improve performance and therefore reduce operating costs.
More on AMD's cost-efficiency
Calculating performance
For each of the presented business cases in Txture, a different amount of selected AMD Zen4 m7a and Intel m7i x16large instances is used, in way to correspond to performance measurements for both underlying processors. The benchmark we referred to was reported by Phoronix as Timed Node.js Compilation 19.8.1 and suggests a performance advantage of AMD "Zen4" by approximately 16.5%.
Please note that this specific performance-to-cost ratio calculation is not yet implemented in Txture, but is a feature we aim to include. Actual performance and cost efficiency may vary based on workload, configuration, and pricing changes.
Calculating carbon emissions
The electricity and carbon footprint data provided are estimated values. These estimates are derived from the Cloud Carbon Footprint project which does not list exact values for the m7i/m7a processors yet. The actual values may vary based on several factors including specific usage patterns, and additional low CO2 energy sources provided by AWS.