Overview
Cloudamize Express is a streamlined, fast-path feature designed to deliver rapid, optimized cloud sizing and cost recommendations for your existing workloads. Built for speed and agility, it analyzes flat-file infrastructure inventories to quickly output directional cloud strategies.
Currently, Cloudamize Express exclusively supports target recommendations for Amazon Web Services (AWS), featuring specialized optimization tracks tailored for AMD-powered instances to ensure maximum price-to-performance efficiency.
Difference Between Express and Standard Analysis
When using the platform, it is important to understand how an Express analysis contrasts with a Standard assessment:
-
Express Analysis: Provides a quick, directional optimization view generated entirely from a static flat-file inventory. It serves as an excellent starting point for directional cloud budgets.
-
Standard Analysis: Recommended for migration-grade sizing. While an Express flat-file captures data at a single point in time (which can introduce sizing risks by missing systemic usage peaks or troughs), a Standard analysis collects live utilization data over a minimum of 2 weeks. This live telemetry ensures precise right-sizing, uncovering an average of 35-50% savings compared to an unoptimized, like-for-like lift-and-shift move.
How to Register and Start an Express Analysis
To initiate an Express assessment, follow these steps to register your engagement and upload your file directly from the registration screen:
-
Navigate to the Cloudamize login portalhttps://console.cloudamize.com/#/login.
-
Locate the CLOUDAMIZE EXPRESS card at the bottom of the sign-in screen and click the Register Express Assessment → button.
-
You will be directed to the Cloudamize Express configuration screen.
From this configuration screen, complete the following steps to upload your file and generate an account:
Step 1: Select Your File Type
Click the Select File Type dropdown menu to choose your source file format. Cloudamize Express currently supports:
-
AWS Cost and Usage Report
-
AWS Inventory Flat File
-
RV Tools (Coming soon)
Step 2: Configure File Granularity / Requirements
Depending on your selected file type, fill in the corresponding parameters:
-
For AWS Cost and Usage Report: Select your data's Time granularity from the dropdown menu (Hourly, Daily, or Monthly). Ensure this matches the exact roll-up setting utilized when you generated the report in AWS so the CSV parser interprets rows correctly.
-
For AWS Inventory Flat File: Your uploaded CSV must match Cloudamize's structural schema. You can click Download template CSV on the screen to view the required first-row headers:
|
Column Header |
Description |
Example |
|
UUID |
Unique resource identifier. |
|
|
Cloud |
Cloud provider name. |
|
|
Region |
AWS region for the resource. |
|
|
Size |
AWS instance or resource size. |
|
|
Quantity |
Number of resources. |
|
|
Total number of hours per month |
Total monthly usage hours. |
|
|
Pricing Model |
AWS pricing option. |
|
Step 3: Complete Final Details & Upload
-
Click the Inventory File (CSV only) field to browse and attach your file.
-
Enter a unique identifier in the Give this analysis a name field.
-
Optional: Enter an Unlock Code if provided by your partner or account manager.
-
Select the target region you want to save the data using the Select Data Residency Region dropdown.
-
Click Start Express Analysis to queue the flat file for backend processing.
💡 Alternative Action: If you read the structural differences on the right panel and prefer a more comprehensive assessment instead of a flat-file analysis, you can click the Request Free Standard Analysis button to connect with our solutions team.
How to Access and Manage Engagements
Once your account registration is complete, follow these steps to access the platform and manage your ongoing flat-file analyses:
Step 1: Accessing the Portal
-
If you have already registered, navigate directly to the Cloudamize login portal at console.cloudamize.com.
-
Enter your registered business email address and password credentials to sign in.
Step 2: Selecting the Express Module
-
Upon successful login, you will land on the main Cloudamize Home Dashboard Hub.
-
Locate the navigation tiles array across the top of the interface.
-
Click on the Express module tile (identified by the lightning bolt icon) to open your active workload workspace.
⚠️ IMPORTANT NOTE: Because your account framework is tailored specifically for a fast-path flat-file analysis, all modules other than Express will display a red padlock icon and remain locked (including Discover, Analyze, Plan, Migrate, Manage, Extensions, and Modernize). These options will only unlock if you choose to transition your engagement to a full, live collector infrastructure assessment.
Step 3: Navigating the Express Dashboard
Once you enter the Express workspace, you can manage and track your flat-file infrastructure workloads directly from your workspace panel:
-
Engagement Dashboard Availability: Once you have registered your Express assessment, the details of your account and files will be immediately available and listed on the central engagement dashboard tracking table.
-
Registering for a New Express Analysis: If you need to evaluate a separate infrastructure batch, you have the option to register for a brand new Express assessment directly from this screen. As shown in the screenshot below, click the yellow Start New Express Analysis button in the upper right corner.
Upload Sidebar Flow: Clicking this option expands a sliding context wizard labeled Start Express Analysis on the right side of your dashboard. This multi-step menu guides you through uploading inventory (selecting file types, names, unlock codes, and data residency regions), setting up the Customer account, and completing a final Review & submit to cleanly push your new assessment into the engine queue.
Reviewing Your Express Results
Clicking into an engagement with a Result Ready status opens the Express Interactive Hub. This dashboard is divided into three distinct workspace panels:
1. Left Panel: Cost Summary & Resource Savings
-
Servers: Total count of individual machine footprints parsed from your file.
-
Total Annual Cost: Displays a clear side-by-side optimization delta. It highlights your projected standard annual cloud cost crossed out next to your optimized footprint cost, calling out your net savings percentage (e.g., ↓ 9.8% Savings).
-
Resource Savings: Charts the performance optimization layers for vCPU and Memory (GB), comparing your current environment allocations against Cloudamize's recommended baseline to show where waste is eliminated.
2. Center Panel: Recommendation Grid & Optimization Designs
This interactive table features column-level filters for rapid sorting, allowing users to segment, search, and parse assets seamlessly. The table provides a complete, granular data view across the following columns:
|
Column Name |
Description |
|
Instance Name |
The host identifier or specific server label is parsed from your inventory file. |
|
Region |
The targeted AWS geographic deployment region (e.g., us-east-1). |
|
Current Instance Type |
The existing on-premises or cloud instance configuration is cataloged in the source file. |
|
Recommended Instance Type |
The optimized, right-sized AWS AMD instance configuration recommended by the Cloudamize engine. |
|
Current Monthly Cost ($) |
The baseline monthly expenditure required to maintain the workload under its current sizing. |
|
Recommended Monthly Cost ($) |
The projected monthly expenditure required to run the workload on the recommended AMD architecture. |
|
Current Annual Cost ($) |
The baseline annual expenditure is calculated from the current sizing parameters. |
|
Recommended Annual Cost ($) |
The projected annual expenditure was calculated using the optimized AMD recommendations. |
|
Annual Savings ($) |
The projected net yearly financial savings achieved by migrating or shifting the workload to the recommended AMD tier. |
|
Current vCPU |
The number of virtual CPUs allocated to the server in its current environment. |
|
Recommended vCPU |
The optimized number of virtual CPUs required to handle the workload demands efficiently on AWS. |
|
Current Memory (GB) |
The baseline memory allocation in gigabytes is measured from the source environment. |
|
Recommended Memory (GB) |
The optimized memory footprint in gigabytes is recommended to fulfill operational stability targets on AWS. |
Node Restriction Behavior: If you registered to Express without an initial unlock code, the recommendation grid limits visibility to a basic assessment trial. As shown in the below screenshot, the workspace displays a status message stating "Showing 10 of [X] recommendations" and masks data past the initial 10 server nodes details and recommendations.
Unlocking the Remaining Nodes
To unmask the full contents of your flat file and view all locked nodes/recommendations, you must apply a code from within the interactive interface:
-
Scroll to the bottom of the center recommendation table to locate the action prompt labeled: "Enter unlock code to view all recommendations," as seen in the screenshot above.
-
Click the Enter unlock code button.
-
An Unlock recommendations modal window will appear,
-
If you have a code: Ensure the I have a code tab is highlighted, input your code to immediately unlock the remaining nodes from your flat file, and submit.
-
If you do not have a code, click on the adjacent Request a code option tab. You can use this request code option to fill out the text field labeled
(Optional) Tell us anything we should knowto outline your project details, and click Send request. The account management team will review your submission to help unlock your full inventory footprint.
Deep-Dive Node Inspection
If you click on any recommendation row in the main center grid table, the dashboard will expand a detailed right-hand context panel that displays specific asset telemetry. This sliding details card isolates critical evaluation data into four operational sections:
-
Recommendation Summary: Details the recommended sizing action (e.g.,
CHANGE_INSTANCE), optimization confidence level, a change summary detailing processor family shifting (e.g., Intel to AMD processor migration, same shape), and isolated estimated monthly cost savings. -
Current vs Recommended: A clear matrix comparing hard infrastructure specs side-by-side, including
Instance Type,vCPU,Memory (GB),Monthly Cost ($),Annual Cost ($), and projected savings intervals. -
Tradeoff & Risk: Displays algorithmic engineering scores (such as the
Performance score ratio) to validate that resource stability is sustained across instance conversions. -
Infrastructure Context: Maps organizational metadata directly from your file, including the parsed asset
Instance name,Asset ID, and the exact operational time snapshot the data was compiled into the engine workspace.
Center Panel: Optimization Designs
Once unlocked, you can click the Design dropdown menu at the top of the interface to instantly toggle your optimization criteria across four distinct algorithmic modes:
-
AMD Easy Path: Automatically maps eligible Intel EC2 workloads over to alternative AMD configurations using seamless, low-risk policies.
-
AMD Cost Optimized: Prioritizes the absolute lowest sustainable infrastructure cost profiles across all enabled cloud capabilities.
-
AMD Performance Optimized: Prioritizes the best absolute performance fit, matching strict compute capability requirements without focusing entirely on the lowest-cost targets.
-
AMD Optimized: Builds a balanced, single hybrid plan by applying AMD Easy Path conversions, Cost-Optimized downsizes, and Performance-Optimized considerations sequentially by architectural precedence.
Exporting Your Data: You can click Download Summary Deck to download an executive presentation of your findings, or click Export to grab the raw data sheet.
3. Right Panel: Design Picker & Upgrade Path
Provides a summary of your selected design track, along with a portal to request a deeper assessment.
Transitioning from Express to Standard Analysis
If your directional Express flat-file results show a significant opportunity and you wish to build a migration-grade blueprint, you can upgrade seamlessly:
-
Click the Convert to Standard button located in the bottom-right corner of the results workspace.
-
A Convert to Standard modal window will appear.
-
Optional: Add any additional scoping comments or environment requests in the provided text field.
-
Click Send Email. This alerts the Cloudamize architectural team to help route you toward setting up a live Collector assessment.
If you have any queries, please get in touch with the helpdesk via our Helpdesk Portal or by email at helpdesk@cloudamize.com.