fixed broken link in spark observability module

analytics/terraform/emr-eks-karpenter/README.md

@@ -81,7 +81,7 @@ Checkout the [documentation website](https://awslabs.github.io/data-on-eks/docs/
 | <a name="input_name"></a> [name](#input\_name) | Name of the VPC and EKS Cluster | `string` | `"emr-eks-karpenter"` | no |
 | <a name="input_private_subnets"></a> [private\_subnets](#input\_private\_subnets) | Private Subnets CIDRs. 254 IPs per Subnet/AZ for Private NAT + NLB + Airflow + EC2 Jumphost etc. | `list(string)` | <pre>[<br>  "10.1.1.0/24",<br>  "10.1.2.0/24"<br>]</pre> | no |
 | <a name="input_public_subnets"></a> [public\_subnets](#input\_public\_subnets) | Public Subnets CIDRs. 62 IPs per Subnet/AZ | `list(string)` | <pre>[<br>  "10.1.0.0/26",<br>  "10.1.0.64/26"<br>]</pre> | no |
-| <a name="input_region"></a> [region](#input\_region) | region | `string` | n/a | yes |
+| <a name="input_region"></a> [region](#input\_region) | Region | `string` | n/a | yes |
 | <a name="input_secondary_cidr_blocks"></a> [secondary\_cidr\_blocks](#input\_secondary\_cidr\_blocks) | Secondary CIDR blocks to be attached to VPC | `list(string)` | <pre>[<br>  "100.64.0.0/16"<br>]</pre> | no |
 | <a name="input_tags"></a> [tags](#input\_tags) | Default tags | `map(string)` | `{}` | no |
 | <a name="input_vpc_cidr"></a> [vpc\_cidr](#input\_vpc\_cidr) | VPC CIDR. This should be a valid private (RFC 1918) CIDR range | `string` | `"10.1.0.0/16"` | no |

analytics/terraform/spark-k8s-operator/examples/cluster-autoscaler/nvme-ephemeral-storage/taxi-trip-execute.sh

@@ -11,11 +11,13 @@
 
 # Script usage ./taxi-trip-execute my-s3-bucket us-west-2
 
-if [ $# -ne 3 ]; then
+# validating that use passes two arguments, if not return a message to pass the arguments
+if [ $# -ne 2 ]; then
   echo "Usage: $0 <S3_BUCKET> <REGION>"
   exit 1
 fi
 
+
 S3_BUCKET="$1"
 REGION="$2"
 

website/docs/data-analytics/observability-spark-on-eks.md

@@ -8,13 +8,13 @@ sidebar_label: Observability Spark on EKS
 In this post, we will learn the Observability for Spark on EKS. We will use Spark History Server to watch Spark Applications logs and check the Spark job progress via the Spark Web UI. Amazon Managed Service for Prometheus is used to collect and store the metrics generated by Spark Applications and Grafana is used to build dashboards for monitoring use cases.
 
 ## Deploying the Solution
-We will reuse the previous Spark on Operator example. Please follow [this link](https://awslabs.github.io/data-on-eks/docs/spark-on-eks/spark-operator-yunikorn#deploying-the-solution) to provision resources
+We will reuse the previous Spark on Operator example. Please follow [this link](https://awslabs.github.io/data-on-eks/docs/data-analytics/spark-operator-yunikorn#deploying-the-solution) to provision resources
 
 
 ## Set up data and py script
 let's navigate to one example folder under spark-k8s-operator and run the shell script to upload data and py script to the S3 bucket created by terraform above.
 ```bash
-cd data-on-eks/analytics/terraform/spark-k8s-operator/examples/nvme-ephemeral-storage
+cd data-on-eks/analytics/terraform/spark-k8s-operator/examples/cluster-autoscaler/nvme-ephemeral-storage
 
 # replace <S3_BUCKET> with your S3 bucket and <REGION> with your region, then run
 ./taxi-trip-execute.sh
@@ -37,8 +37,9 @@ To try Spark web UI, let's update <S3_BUCKET> with your bucket name and <JOB_NAM
 ```
 
 Then run port forward command to expose spark web service.
+
 ```bash
-kubectl port-forward -n=spark &lt;SPARK_DRIVER_NAME&gt; 4040:4040
+kubectl port-forward po/taxi-trip 4040:4040 -nspark-team-a
 ```
 
 Then open browser and enter localhost:4040. You can view your spark application like below.