Sizing Guidance

Critical Note

  • The sizing number in this page is based on a standard workload. Used as reference only.
  • The current calculator lacks information about the storage size for worker nodes. We are working on an update now. A minimum of 300GB of storage per worker node is strongly recommended to meet the requirements of the MAS app build process.

Sizing Calculation Sheet

Use Sizing Calculation Sheet for MAS sizing.

Factors that impact the sizing consideration

  • storage operator: e.g. ocs, odf...
  • cp4d services: e.g. db2w, watson studio...
  • mongodb service
  • kafka service

OCS (OpenShift Container Storage)

If using OCS to manage the storage class, OCS service itself requires minimum 3 nodes with 14 core / 32G (Note: this is the total request amount, not per node).

ODF (OpenShift Data Foundation)

3 OCP nodes will run ODF services. (NOTE: OCP clusters often contain additional OCP worker nodes which do not run ODF services.) Each OCP node running ODF services has:16 core / 64 GB memory

CP4D/DB2W Minimum Resource Requirement

  • When running CP4D/DB2W on OpenShift's worknode, each instance requires at least 6.1 core and 18G ram. Note: an instance pod cannot be scheduled if the node's (total capacity - total limit) is less than 6.1 core or 18G ram,
  • a dedicated worker node or external db is recommended.
  • db2 operator is an alternative.

MAS Manage

Based on the benchmark results, for sizing we recommend 50 - 75 user load per MAS Manage UI server bundle pod, which is equivalent to a JVM with 2 core on Maximo 7.6.x.

MAS Resource Statistics

  • use below values as reference only.
  • the footprint is based on the loads and spec settings. e.g. IoT T-shirt size, Manage bundle and replic #
  • the value below is based on IoT small T-shirt size and Manage with only all-in-one bundle and replic =1
App CPU Request (core) CPU Limits (core) Memory Rquest (GB) Memory Limits(GB)
Add 6 12 13 26
Assist 12.4 57.7 19.46 62.38
Core 1.5 18.95 6.27 32.5
Health 2.9 15.6 7.12 30.84
HPU 0.9 5.5 0.92 6.5
IoT 19.66 214.65 57.08 269
Manage 2.9 11.1 4.04 17
Monitor 5.4 32.4 12.84 55.5
Optimizer 7.4 19.3 25.57 117
Predict 3.1 12.5 6.13 24.5
Additional cost - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ocs* 14 32 14 32
cp4d (with 2 db2w instances)* 31.59 40.7 235.39 249.70
each additional manage pod* 1 6 2 10