Reverted variables.tf metadata.yaml README.md to commit 85407109c8

blueprints/data-solutions/shielded-folder/variables.tf

@@ -188,7 +188,7 @@ variable "vpc_sc_access_levels" {
 }
 
 variable "vpc_sc_egress_policies" {
-  description = "VPC SC egress policy definitions."
+  description = "VPC SC egress policy defnitions."
   type = map(object({
     from = object({
       identity_type = optional(string, "ANY_IDENTITY")
@@ -208,7 +208,7 @@ variable "vpc_sc_egress_policies" {
 }
 
 variable "vpc_sc_ingress_policies" {
-  description = "VPC SC ingress policy definitions."
+  description = "VPC SC ingress policy defnitions."
   type = map(object({
     from = object({
       access_levels = optional(list(string), [])

blueprints/data-solutions/vertex-mlops/README.md

@@ -36,7 +36,7 @@ Assign roles relying on User groups is a way to decouple the final set of permis
 
 We use the following groups to control access to resources:
 
-- *Data Scientist* (gcp-ml-ds@<company.org>). They manage notebooks and create ML pipelines.
+- *Data Scientits* (gcp-ml-ds@<company.org>). They manage notebooks and create ML pipelines.
 - *ML Engineers* (gcp-ml-eng@<company.org>). They manage the different Vertex resources.
 - *ML Viewer* (gcp-ml-eng@<company.org>). Group with wiewer permission for the different resources.
 

blueprints/data-solutions/vertex-mlops/metadata.yaml

@@ -50,7 +50,7 @@ spec:
   interfaces:
     variables:
     - name: notebooks
-      description: Vertex AI workbenches to be deployed. Service Account runtime/instances deployed.
+      description: Vertex AI workbenchs to be deployed. Service Account runtime/instances deployed.
       type: |-
         map(object({
           type             = string

blueprints/data-solutions/vertex-mlops/variables.tf

@@ -67,7 +67,7 @@ variable "network_config" {
 }
 
 variable "notebooks" {
-  description = "Vertex AI workbenches to be deployed. Service Account runtime/instances deployed."
+  description = "Vertex AI workbenchs to be deployed. Service Account runtime/instances deployed."
   type = map(object({
     type             = string
     machine_type     = optional(string, "n1-standard-4")