Workload Manager for SAP solutions uses Google Cloud's Agent for SAP to detect and collect metadata for evaluating your SAP system configurations. The Agent for SAP, along with the SAP Host Agent, are required on all VM instances that run SAP systems for support and monitoring of your SAP systems running on Google Cloud, including SAP NetWeaver, SAP HANA, SAP ASE, and SAP MaxDB.
The following checklist summarizes the tasks you need to perform to ensure that the Agent for SAP is set up properly:
- Grant required roles to the service account
- Install the Agent for SAP
- Verify the agent version and install updates, if any
- Enable collection of evaluation metrics
Required IAM roles
Google Cloud's Agent for SAP requires an Identity and Access Management (IAM) service account for authentication with Google Cloud and for permission to access Google Cloud resources. For the collection of Workload Manager evaluation metrics, whether you use a new, existing, or default service account, the service account must include the following IAM roles:
- Compute Viewer (
roles/compute.viewer
) - Workload Manager Insights Writer (
roles/workloadmanager.insightWriter
) - Secret Manager Secret Accessor (
roles/secretmanager.secretAccessor
), if you use Secret Manager for storing the SAP HANA database password.
Install the agent
If not already done, then install Google Cloud's Agent for SAP on the VM hosting your SAP system:
To install the agent on a VM instance, follow these steps:
- Establish an SSH connection to your host VM instance.
- In your terminal, install the agent by running the command that is specific
to your operating system:
- (Recommended) To install version 3.6 (latest) of the
agent:
RHEL
sudo tee /etc/yum.repos.d/google-cloud-sap-agent.repo << EOM [google-cloud-sap-agent] name=Google Cloud Agent for SAP baseurl=https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-el$(cat /etc/redhat-release | cut -d . -f 1 | tr -d -c 0-9)-x86_64 enabled=1 gpgcheck=1 repo_gpgcheck=0 gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg EOM sudo yum install google-cloud-sap-agent
SLES15
sudo zypper addrepo --refresh https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-sles15-x86_64 google-cloud-sap-agent sudo zypper install google-cloud-sap-agent
SLES 12
sudo zypper addrepo --refresh https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-sles12-x86_64 google-cloud-sap-agent sudo zypper install google-cloud-sap-agent
- To install a specific version of the agent:
RHEL
sudo tee /etc/yum.repos.d/google-cloud-sap-agent.repo << EOM [google-cloud-sap-agent] name=Google Cloud Agent for SAP baseurl=https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-el$(cat /etc/redhat-release | cut -d . -f 1 | tr -d -c 0-9)-x86_64 enabled=1 gpgcheck=1 repo_gpgcheck=0 gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg EOM sudo yum install google-cloud-sap-agent-VERSION_NUMBER.x86_64
SLES15
sudo zypper addrepo --refresh https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-sles15-x86_64 google-cloud-sap-agent sudo zypper install google-cloud-sap-agent-VERSION_NUMBER.x86_64
SLES 12
sudo zypper addrepo --refresh https://packages.cloud.google.com/yum/repos/google-cloud-sap-agent-sles12-x86_64 google-cloud-sap-agent sudo zypper install google-cloud-sap-agent-VERSION_NUMBER.x86_64
Replace
VERSION_NUMBER
with the agent's version number that you want to install, such as3.1-606637668
. For information about the agent versions that you can install, see List all available versions of the agent.For information about downgrading the agent to a specific version, see Downgrade Google Cloud's Agent for SAP.
- (Recommended) To install version 3.6 (latest) of the
agent:
After the installation is complete, proceed to configure the agent for the collection of the Workload Manager evaluation metrics.
Verify the agent version
Google Cloud recommends that you install the latest version of Agent for SAP for accurate evaluation of your SAP workloads because periodic releases of the Agent for SAP might add or change metrics that are used for the evaluation.
To ensure that you have the latest version of Google Cloud's Agent for SAP, you need to check for updates periodically and update the agent.
Check for updates
Select your operating system, and then follow these steps:
RHEL
- Establish an SSH connection with your instance.
- Run the following command:
sudo yum check-update google-cloud-sap-agent
SLES
- Establish an SSH connection with your instance.
- Run the following command:
sudo zypper list-updates -r google-cloud-sap-agent
Install an update
Select your operating system, and then follow the steps:
RHEL
- Establish an SSH connection with your instance.
- Update your agent instance:
- (Recommended) To update to version 3.6 (latest)
of the agent:
sudo yum --nogpgcheck update google-cloud-sap-agent
- To update to a specific version of the agent:
sudo yum install google-cloud-sap-agent-VERSION_NUMBER.x86_64
Replace
VERSION_NUMBER
with the agent's version number that you want to install, such as3.1-606637668
. For information about the agent versions that you can install, see List all available versions of the agent.
- (Recommended) To update to version 3.6 (latest)
of the agent:
SLES
- Establish an SSH connection with your instance.
- Update your agent instance:
- (Recommended) To update to version 3.6 (latest)
of the agent:
sudo zypper --no-gpg-checks update google-cloud-sap-agent
- To update to a specific version of the agent:
sudo zypper install google-cloud-sap-agent-VERSION_NUMBER.x86_64
Replace
VERSION_NUMBER
with the agent's version number that you want to install, such as3.1-606637668
. For information about the agent versions that you can install, see List all available versions of the agent.
- (Recommended) To update to version 3.6 (latest)
of the agent:
Configure the collection of Workload Manager evaluation metrics
To configure Google Cloud's Agent for SAP, complete the following steps:
To let the agent collect the Workload Manager evaluation metrics:
sudo /usr/bin/google_cloud_sap_agent configure -feature=workload_evaluation -enable
Optional: To enable the collection of "SAP HANA Insights" and "SAP HANA Security Best Practices" metrics in Workload Manager, add the
workload_validation_db_metrics_config
section aftercollect_workload_validation_metrics
in the agent's configuration file, and then specify the following parameters:hana_db_user
: specify the user account that is used to query the SAP HANA instance.hostname
: specify the identifier for the machine, either local or remote, that hosts your SAP HANA instance.port
: specify the port on which your SAP HANA instance accepts queries.hana_db_password_secret_name
: specify the name of the secret in Secret Manager that stores the user account's passwordAs an alternative to the secret, you can use the
hdbuserstore_key
configuration parameter.hdbuserstore_key
: specify thehdbuserstore
key that authenticates the user you specified forhana_db_user
If you specify
hdbuserstore_key
, then you skip specifying thehostname
andport
parameters.
For information about these parameters, see Configuration parameters.
The following examples are completed configuration files of Google Cloud's Agent for SAP running on a Compute Engine VM instance, where the collection of Workload Manager evaluation metrics is enabled.
For SAP HANA authentication, the agent uses the following order of preference: if specified, the
hdbuserstore_key
configuration parameter is preferred over thehana_db_password
parameter, which is preferred over thehana_db_password_secret_name
parameter. We recommend that you set only one authentication option in your configuration file.- The following example uses a
Secure user store (
hdbuserstore
) key for SAP HANA authentication:{ "provide_sap_host_agent_metrics": true, "bare_metal": false, "log_level": "INFO", "log_to_cloud": true, "collection_configuration": { "collect_workload_validation_metrics": true, "workload_validation_db_metrics_frequency": 3600, "workload_validation_db_metrics_config": { "hana_db_user": "system", "sid": "DEH", "hdbuserstore_key": "user_store_key" }, "collect_process_metrics": false }, "discovery_configuration": { "enable_discovery": true, "enable_workload_discovery": true }, "hana_monitoring_configuration": { "enabled": false } }
- The following example uses a username and Secret Manager
secret for SAP HANA authentication:
{ "provide_sap_host_agent_metrics": true, "bare_metal": false, "log_level": "INFO", "log_to_cloud": true, "collection_configuration": { "collect_workload_validation_metrics": true, "workload_validation_db_metrics_frequency": 3600, "workload_validation_db_metrics_config": { "hana_db_user": "system", "sid": "DEH", "hana_db_password_secret_name": "instance-id-hana-db-password-secret", "hostname": "localhost", "port": "30015" }, "collect_process_metrics": false }, "discovery_configuration": { "enable_discovery": true, "enable_workload_discovery": true }, "hana_monitoring_configuration": { "enabled": false } }
- The following example uses a username and password for SAP HANA
authentication. We recommend that you instead use a
Secret Manager secret or
Secure user store (
hdbuserstore
) key for SAP HANA authentication.{ "provide_sap_host_agent_metrics": true, "bare_metal": false, "log_level": "INFO", "log_to_cloud": true, "collection_configuration": { "collect_workload_validation_metrics": true, "workload_validation_db_metrics_frequency": 3600, "workload_validation_db_metrics_config": { "hana_db_user": "system", "sid": "DEH", "hana_db_password": "TempPa55word", "hostname": "localhost", "port": "30015" }, "collect_process_metrics": false }, "discovery_configuration": { "enable_discovery": true, "enable_workload_discovery": true }, "hana_monitoring_configuration": { "enabled": false } }
Restart the agent for the new settings to take effect:
sudo systemctl restart google-cloud-sap-agent
After the agent successfully restarts, the agent starts sending the Workload Manager evaluation metrics to Workload Manager.
What's next
- Learn more about workload evaluations