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    Review default assumptions

    To further refine your estimate results for migrating your on-premises infrastructure to Google Cloud, you can review and update the default assumptions used to calculate your cloud spend estimate.

    However, the defaults are based on customer best practices. You must modify them for specific use cases only.

    Compute sizing default assumptions

    To modify the compute sizing default assumptions, follow these steps:

    1. On the Infrastructuretab, click Edit compute sizing details.

    2. In the Edit compute sizing detailspane that appears, edit the values of the fields listed in the following table as required:

      Section
      Field
      Description
      Default value
      Server
      Compute servers older than 5 years
      The percentage of servers that are older than 5 years.
      50%
      Efficiency factor for old Compute servers
      The percentage of old servers that are efficient.
      55%
      Utilization
      % of vCPUs not running 24x7
      The percentage of vCPUs that don't run 24x7.
      50%
      % of time those vCPUs can be turned off (Compute)
      The percentage of time these vCPUs can be turned off completely.
      20%
      Distribution of workloads
      % of vCPUs (high-performance)
      The percentage of vCPUs reserved for high-performance workloads, such as databases, streaming, game servers, inference jobs.
      20%
      Machine type (high-performance)
      The machine type used for high-performance workloads.
      C3
      % of vCPUs (balanced)
      The percentage of vCPUs reserved for workloads that require a balance of price and performance, such as microservices, web and app servers, business intelligence solutions.
      60%
      Machine type
      The machine type used for balanced workloads.
      N2
      % of vCPUs (cost-optimized)
      The percentage of vCPUs reserved for workloads for which you want to minimize costs, such as development and testing environments, internal applications, batch processing jobs.
      20%
      Machine type (cost-optimized)
      The machine type used for cost-optimized workloads.
      E2
      Memory
      Memory to Compute ratio (Compute)
      Memory, in GB, to include for each vCPU.
      4

    Non-x86 sizing default assumptions

    To modify the non-x86 infrastructure sizing default assumptions, follow these steps:

    1. On the Infrastructuretab, click Edit non-x86 sizing details.

    2. In the Edit non-x86 sizing detailspane that appears, edit the values of the fields listed in the following table as required:

      Section
      Field
      Description
      Default value
      Emulation prices
      Monthly Google Cloud cost per MIPS cost
      The monthly cost for each MIPS running on Google Cloud.
      $4
      Emulation cost for lift and shift
      The monthly cost of running the mainframe emulator for lift and shift mainframe applications.
      $0
      Price per month for Solaris emulation
      The monthly cost for each Solaris emulation running on Google Cloud.
      $4
      Price per month for Solaris emulation licensing
      The monthly cost for each Solaris emulation licensing on Google Cloud.
      $0
      Price per month for AIX emulation
      The monthly cost for each AIX emulation running on Google Cloud.
      $4
      Price per month for AIX emulation licensing
      The monthly cost for each AIX emulation licensing on Google Cloud.
      $0
      Price per month for HP UX emulation
      The monthly cost for each HP UX emulation running on Google Cloud.
      $4
      Price per month for HP UX emulation licensing
      The monthly cost for each HP UX emulation licensing on Google Cloud.
      $0
      Price per month for other emulation
      The monthly cost for each of other emulation running on Google Cloud.
      $4
      Price per month for other emulation licensing
      The monthly cost for each of other emulation licensing on Google Cloud.
      $0
      Other CoLo prices
      Mainframe CoLo monthly price
      Monthly cost for each mainframe colocation running on Google Cloud.
      $4

    Storage sizing default assumptions

    To modify the storage sizing default assumptions, follow these steps:

    1. On the Infrastructuretab, click Edit storage sizing details.

    2. In the Edit storage sizing detailspane that appears, edit the values of the fields listed in the following table as required:

      Section
      Field
      Description
      Default value
      Persistent Disk (Block storage)
      Storage footprint for HDD
      The percentage of total storage in a persistent disk block storage resource with standard performance (hard disk drive).
      90%
      Storage footprint for SSD
      The percentage of total storage in a persistent disk block storage resource with high-performance (solid state drive).
      10%
      Filestore
      (File storage)
      Storage footprint for filestore HDD
      The percentage of the total storage on Filestore with standard-performance (hard disk drive).
      50%
      Storage footprint for filestore SSD
      The percentage of the total storage on Filestore with high-performance (solid state drive).
      50%
      Google Cloud Storage (Object storage)
      Standard: High-frequency access
      The percentage of object storage with high-frequency access (Standard). Suggested for frequently accessed data such as websites, streaming videos, and mobile applications.
      20%
      Nearline: Low-frequency access
      The percentage of object storage with low-frequency access (Nearline). It is lower in terms of cost and suggested for data that can be stored for at least 30 days, such as data backup and long-tail multimedia content.
      40%
      Coldline: Low-frequency access
      The percentage of object storage with low-frequency access (Coldline). It is very low cost and suggested for data that can be stored for at least 90 days, such as disaster recovery.
      20%
      Archive: Once a year access
      The percentage of object storage with once-per-year access frequency (Archive). It is the lowest in terms of cost and suggested for data that can be stored for at least 365 days, such as regulatory archives.
      20%

    Oracle sizing default assumptions

    To modify the Oracle sizing default assumptions, follow these steps:

    1. On the Workloads and licensestab, click Edit Oracle sizing details.

    2. In the Edit Oracle sizing detailspane that appears, edit the values of the fields listed in the following table as required:

      Section
      Field
      Description
      Default value
      Oracle edition breakdown
      % of Oracle Enterprise Edition vCPUs
      The percentage of Oracle vCPUs that are on Oracle Enterprise Edition.
      70%
      % of Enterprise Edition vCPUs on 10g
      The percentage of Oracle Enterprise Edition vCPUs that are on Oracle Database 10g.
      10%
      % of Oracle Standard Edition vCPUs
      The percentage of Oracle vCPUs that are on Oracle Standard Edition.
      30%
      Oracle to PostgreSQL migration
      % of Oracle Standard Edition migrating to PostgreSQL
      The percentage of Oracle vCPUs migrating from Oracle Standard Edition to PostgreSQL.
      15%
      % of Oracle 10g or older migrating to PostgreSQL
      The percentage of Oracle vCPUs migrating from Oracle Database 10g or other earlier versions of Oracle databases to PostgreSQL.
      100%
      Replace Exadata
      % of Exadata to Bare Metal Server
      The percentage of Exadata vCPUs migrating to Bare Metal Solution .
      25%
      % of Exadata to BigQuery
      The percentage of Exadata vCPUs migrating to BigQuery .
      25%
      % of Exadata to Exadata CoLo (Hosting)
      The percentage of Exadata vCPUs migrating to colocated Exadata vCPUs running on Google Cloud.
      50%
      Exadata Storage in GB
      The storage usage, in GB, for Oracle Exadata.
      0
      Additional migration defaults
      Migrating reporting to BigQuery
      The percentage of reporting vCPUs migrating to BigQuery.
      15%
      Move test / dev databases to snapshots
      The percentage of test or developer database vCPUs migrating to snapshots.
      25%
      Better consolidation due to newer CPU / higher memory
      The percentage of consolidation due to newer CPU or higher memory.
      25%
      Prices for Oracle to Google Cloud
      Postgres price percentage on top of the Compute Engine monthly price
      The percentage of Postgres price on top of the Compute Engine monthly price.
      80%
      BigQuery price percentage on top of the Compute Engine monthly price
      The percentage of BigQuery price on top of the Compute Engine monthly prices.
      80%
      Exadata CoLo monthly price
      The monthly price for colocated Exadata vCPUs running on Google Cloud.
      0

    SAP sizing default assumptions

    To modify the SAP sizing default assumptions, follow these steps:

    1. On the Workloads and licensestab, click Edit SAP sizing details.
    2. In the Edit SAP sizing detailspane that appears, edit the values of the fields listed in the following table as required:
    Section
    Field
    Description
    Default value
    SAP workload
    SAP workload that is currently outsourced
    Such as Systems Integrator and Managed Service Provider.
    30%
    % subject to geo-specific regulations/rules for applications
    The percentage of SAP vCPUs subject to geo-specific regulations or rules for applications.
    20%
    SAP database server
    % SAP Servers older than 5 years
    The percentage of the SAP server vCPUs that are older than 5 years.
    35%
    % system utilization of older SAP servers
    The percentage of old SAP server vCPUs that are in use.
    60%
    Memory to vCPU ratio for SAP
    The ratio of SAP RAM, in MB, and the number of SAP vCPUs.
    6
    % memory utilization for SAP
    The percentage of memory used on SAP.
    90%
    % vCPUs not running 24x7
    The percentage of the SAP vCPUs that don't run 24x7.
    40%
    % of time those vCPUs can be turned off for SAP
    The percentage of the time that the SAP vCPUs can be turned off.
    20%
    SAP application server
    % x86
    The percentage of the SAP vCPUs that are x86 vCPUs.
    90%
    x86 - Linux
    The percentage of the SAP vCPUs that are x86 Linux vCPUs.
    80%
    x86 - Windows
    The percentage of the SAP vCPUs that are x86 Windows vCPUs.
    20%
    % non-X86 on IBM Power - AIX
    The percentage of non-x86 SAP application server vCPUs running on IBM Power Systems with the AIX operating system.
    100%
    Shapes to use for SAP database and applications
    Shape to use for SAP apps
    Possible values are N2D Predefined , and N2D Standard , N2D High Memory
    N2D Predefined
    Shape to use for SAP databases
    Shape to use for SAP databases. Possible values are N2D Predefined , N2D Standard , or N2D High Memory .
    N2D Predefined
    SAP database
    Database on Oracle DB
    The percentage of SAP databases that are on Oracle DB.
    60%
    Oracle DB on AIX
    The percentage of Oracle databases vCPUs that are on AIX.
    80%
    Oracle DB on Linux
    The percentage of Oracle databases vCPUs that are on a Linux machine.
    20%
    Database on MS SQL Server
    The percentage of SAP databases that are on MS SQL server.
    10%
    MS SQL Server on Windows
    The percentage of MS SQL Server vCPUs that are on a Windows machine.
    100%
    Database on Hana
    The percentage of SAP databases that are on Hana.
    15%
    Hana on Linux
    The percentage of Hana vCPUs that are on a Linux machine.
    80%
    Hana on Power Linux
    The percentage of Hana vCPUs that are on a Power Linux machine.
    20%
    Database on Other (DB2, ASE, etc.)
    The percentage of SAP databases that are Other (DB2, ASE, etc.).
    15%
    Other on AIX
    The percentage of other databases (DB2, ASE, etc.) that are on AIX.
    80%
    Other on Linux
    The percentage of other databases (DB2, ASE, etc.) that are on a Linux machine.
    20%
    SAP prices
    SAP application CoLo monthly price
    Monthly price for SAP application colocation.
    0
    SAP database CoLo monthly price
    Monthly price for SAP database colocation.
    0

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