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Update README.md #5745

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52 changes: 51 additions & 1 deletion examples/ibm-event-streams/README.md
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Expand Up @@ -187,7 +187,57 @@ resource "ibm_event_streams_quota" "user00001111_quota" {
}
```

#### Scenario 7: Connect to an existing Event Streams instance and its topics.
#### Scenario 7: Create a target Event Streams service instance with mirroring enabled and its mirroring config
data "ibm_resource_instance" "es_instance_source" {
name = "terraform-integration-source"
resource_group_id = data.ibm_resource_group.group.id
}
# setup s2s at service level for mirroring to work
resource "ibm_iam_authorization_policy" "service-policy" {
source_service_name = "messagehub"
target_service_name = "messagehub"
roles = ["Reader"]
description = "test mirroring setup via terraform"
}

resource "ibm_resource_instance" "es_instance_target" {
name = "terraform-integration-target"
service = "messagehub"
plan = "enterprise-3nodes-2tb"
location = "us-south"
resource_group_id = data.ibm_resource_group.group.id
parameters_json = jsonencode(
{
mirroring = {
source_crn = data.ibm_resource_instance.es_instance_source.id
source_alias = "source-alias"
target_alias = "target-alias"
}
}
)
timeouts {
create = "3h"
update = "1h"
delete = "15m"
}
}
# Configure a service-to-service binding between both instances to allow both instances to communicate.
resource "ibm_iam_authorization_policy" "instance_policy" {
source_service_name = "messagehub"
source_resource_instance_id = ibm_resource_instance.es_instance_target.guid
target_service_name = "messagehub"
target_resource_instance_id = data.ibm_resource_instance.es_instance_source.guid
roles = ["Reader"]
description = "test mirroring setup via terraform"
}

# Select some topics from the source cluster to mirror.
resource "ibm_event_streams_mirroring_config" "es_mirroring_config" {
resource_instance_id = ibm_resource_instance.es_instance_target.id
mirroring_topic_patterns = ["topicA", "topicB"]
}

#### Scenario 8: Connect to an existing Event Streams instance and its topics.

This scenario uses a fictitious `"kafka_consumer_app"` resource to demonstrate how a consumer application could be configured.
The resource uses three configuration properties:
Expand Down