Secret data manager

Keys, passwords, or certificates. 5. Enable Secret Manager in your Google Cloud Project Go to your Google Cloud Project and click Activate Cloud Shell in the top right corner.Execute the following command to enable the Cloud Secret Manager API in your Google Cloud Project.gcloud services enable secretmanager.googleapis.comYou should now have the Secret Manager API enabled in your Google Cloud Project. 6. Create a Service Account with Secret Manager user roles To create a service account with required roles, perform the following steps:Run the following command in the Cloud Shell terminal:gcloud iam service-accounts create abap-sdk-secretmanager-tester \--display-name="Service Account for Secret Manager"Add the required roles to the service account created in the previous step to create a secret, add a secret version, and access a secret version.gcloud endpoints services add-iam-policy-binding secretmanager.googleapis.com \ --member='serviceAccount:abap-sdk-secretmanager-tester@abap-sdk-poc.iam.gserviceaccount.com' \--role='roles/roles/secretmanager.secrets.create'gcloud endpoints services add-iam-policy-binding secretmanager.googleapis.com \ --member='serviceAccount:abap-sdk-secretmanager-tester@abap-sdk-poc.iam.gserviceaccount.com' \--role='roles/roles/secretmanager.versions.add'gcloud endpoints services add-iam-policy-binding secretmanager.googleapis.com \ --member='serviceAccount:abap-sdk-secretmanager-tester@abap-sdk-poc.iam.gserviceaccount.com' \--role='roles/roles/secretmanager.versions.access'The above commands use abap-sdk-poc as a placeholder for the Google Cloud Project. Replace abap-sdk-poc with your project id.To verify, the role has been added, go to IAM page. The service account you created should be listed along with the role that has been assigned to it. 7. Create a Secret In the cloud shell, run the following command to create a secret with the name "demo-secret" for this codelab:gcloud secrets create demo-secret \ --replication-policy="automatic"You should be able to see a secret created in your Google Cloud project as shown below. 8. Add a secret version In the cloud shell, run the following command to add a secret version to the secret "demo-secret".echo -n "This is my super secret data" | \ gcloud secrets versions add demo-secret --data-file=-A secret version is created. To view the details click "demo-secret" .Click the three dots on the right and select View Secret Value, the stored secret is shown. 9. Create SDK configurations in SAP Now that you have set up the pre-requisites on the Google Cloud side, we can move ahead with the configuration on the SAP side. For authentication and connectivity related configuration, the ABAP SDK for Google Cloud uses table /GOOG/CLIENT_KEY.To maintain the configuration in the table

/GOOG/CLIENT_KEY table, perform the following steps:In the SAP GUI, enter transaction code SPRO.Click SAP Reference IMG.Click ABAP SDK for Google Cloud > Basic Settings > Configure Client Key.Maintain the following values against the fields:FieldDescriptionGoogle Cloud Key NameSECRET_MANAGER_DEMOGoogle Cloud Service Account Nameabap-sdk-secretmanager-tester@abap-sdk-poc.iam.gserviceaccount.comGoogle Cloud Scope Cloud Project Identifier>Authorization Class/GOOG/CL_AUTH_GOOGLELeave the other fields blank. 10. Retrieve secret using the SDK Log in to your SAP system.Go to the transaction code SE38 and create a report with the name "ZDEMO_ACCESS_SECRET".In the pop-up that opens up, provide details as shown below and click Save.In the next pop-up, either select Local Object or provide a package name as appropriate.In the ABAP Editor, add the following code:.* Data declarations DATA: lv_p_projects_id TYPE string, lv_p_secrets_id TYPE string, lv_p_versions_id TYPE string. TRY.* Open HTTP Connection DATA(lo_client) = NEW /goog/cl_secretmgr_v1( iv_key_name = 'SECRET_MANAGER_DEMO' ).* Populate relevant parameters lv_p_projects_id = lo_client->gv_project_id. lv_p_secrets_id = 'demo-secret'. lv_p_versions_id = 'latest'.* Call API method: secretmanager.projects.secrets.versions.access lo_client->access_versions( EXPORTING iv_p_projects_id = lv_p_projects_id iv_p_secrets_id = lv_p_secrets_id iv_p_versions_id = lv_p_versions_id IMPORTING es_output = DATA(ls_output) ev_ret_code = DATA(lv_ret_code) ev_err_text = DATA(lv_err_text) es_err_resp = DATA(ls_err_resp) ). IF lo_client->is_success( lv_ret_code ). cl_http_utility=>if_http_utility~decode_base64( EXPORTING encoded = ls_output-payload-data RECEIVING decoded = DATA(lv_decoded_secret) ). DATA(lv_msg) = 'Secret data fetched successfully, Decoded Secret: ' && lv_decoded_secret. cl_demo_output=>display( lv_msg ). ELSE. lv_msg = lv_ret_code && ':' && lv_err_text. cl_demo_output=>display( lv_msg ). ENDIF.* Close HTTP Connection lo_client->close( ). CATCH /goog/cx_sdk INTO DATA(lo_exception). MESSAGE lo_exception->get_text( ) TYPE 'E'. ENDTRY.Save and activate the report program.Execute the report (press F8).On successful execution you should see the report output as shown below: 11. Congratulations Congratulations! You have successfully retrieved a secret stored in Google Cloud Platform Secret Manager using ABAP SDK for Google Cloud.Google Cloud Secret Manager has other features as well, such as:Patching a SecretDestroying a Secret VersionDeleting a SecretYou can invoke these Secret Manager features through ABAP SDK for Google Cloud from your SAP applications. 12. Clean up If you do not wish to continue with the additional codelabs related to ABAP SDK for Google Cloud, please proceed with the cleanup.Delete the projectDelete the Google Cloud project:gcloud projects delete abap-sdk-pocDelete individual resourcesDelete the compute instance:gcloud compute instances delete abap-trial-dockerDelete the

Skip to main content 1. Introduction In this codelab, we have listed the steps on how to retrieve credentials or secrets from Google Cloud Secret Manager API using ABAP SDK for Google Cloud.The following Google Cloud services are used in this codelab:Secret ManagerCloud ShellWhat you'll buildYou'll perform the following:Enable Secret Manager API in a Google Cloud project.Create a secret.Add a secret version.Access/Retrieve a secret using ABAP SDK for Google Cloud.In this codelab, steps for creating a secret and adding a secret version would be done through gcloud commands, but this can also be done by using the client library for Secret Manager provided with the ABAP SDK for Google Cloud. 2. Requirements A browser, such as Chrome or Firefox.A Google Cloud project with billing enabled or Create a 90-Day Free Trial account for Google Cloud Platform.SAP GUI (Windows or Java) installed in your system. If SAP GUI is already installed on your laptop, connect to SAP using the VM external IP address as the Application Server IP. If you are on Mac, then you can also install the SAP GUI for Java available in this link. 3. Before you begin You have installed ABAP SDK for Google Cloud on your system. You can refer to codelab - Install ABAP Platform Trial 1909 on Google Cloud Platform and Install ABAP SDK to set up a new system.You will use Cloud Shell, a command-line environment running in Google Cloud.From the Cloud Console, click Activate Cloud Shell on the top right corner:Run the following commands to authenticate for your account and set the default project to abap-sdk-poc. Zone us-west4-b is used as an example. If needed, please change the project and zone in the following commands based on your preference.gcloud auth logingcloud config set project abap-sdk-pocgcloud config set compute/zone us-west4-b 4. Overview Here is a quick overview of some of the entities of Secret Manager that you would be working with in this codelab:Secret - A secret is a project-global object that contains a collection of metadata and secret versions.Secret version - A secret version stores the actual secret data, such as API

Drowning in email?We get it. The number of notifications you receive can be overwhelming. If they aren’t easy to scan, key information can be easy to miss. Updates to the Secret Server Inbox make it easier than ever to manage how notifications are sent and received. Now you can schedule notifications, group notifications in a single email, and more.4. How can I access secrets if I’m offline?Back to traveling and worried about connectivity? Secured via Biometric Authentication, the Secret Server mobile app now allows you to cache your most important secrets, including secrets that require approval. Cached secrets are governed by a time-to-live that is set by the Secret Server administrator to ensure they’re accessible only for a limited time. Now, when you’re traveling to places with limited or zero network connectivity, you can access those cached secrets on your mobile device.5. How can I manage a broader set of connections more easily?Customers that are adopting Connection Manager are typically migrating over from other platforms and systems and looking for a broader set of options for managing their connections. Now, you can create or edit secrets from Connection Manager via a link that will launch an automatic Secret Server connection. You can get connected faster without having to enter credentials each time.You also have the option to use a password-protected local data vault to store local connections or use secrets from Secret Server to maintain a higher level of security. If you choose to set up a new vault, you

Instead, all Git interactions are supported natively in the Designer application. Read our GitHub app overview.Workflow expandedReferring to the architecture diagram above, the following notes can be made on the high-level workflow used by the Designer and its task execution in the Data Productivity Cloud:Authentication and secret managementUsers authenticate themselves to access the Data Productivity Cloud.Secrets, including API keys and other credentials, are managed securely. This ensures that only authorized users can access sensitive data.Pipeline design and managementUsers design and configure data pipelines using the Designer.The Designer integrates with the Component Information service to provide metadata and handle design-time requests.You can also integrate Git with the Designer for version control and collaboration on pipelines. This allows you to track changes, revert to previous versions, and work together on pipelines as a team.Agent management and monitoringThe Agent Manager deploys, upgrades, and monitors agents within the Data Productivity Cloud.It also queries connection statuses to ensure seamless operation.Workflow Orchestration and observabilityThe Workflow Execution Engine orchestrates pipeline execution.The Data Productivity Cloud offers pipeline observability features for monitoring and performance tracking.Task execution and schedulingTask requests are sent to the Agent Gateway for direct communication with customer-hosted agents.The scheduler coordinates pipeline executions based on schedules.API gateway for public exposureGrant controlled access to data pipelines via secure, public API endpoints.Empower external applications to interact with your pipeline data programmatically.Authentication and authorization mechanisms for robust API access control.Agent communication and secret accessMatillion-hosted agents communicate with the Data Productivity Cloud and Hosted Vault for secure access to customer secrets.They also use the Connector Service to retrieve data from various sources such as Salesforce, SAP, and databases.Customer secret management and agent responsibilitiesCustomer secret vaults securely store and retrieve customer secrets.Customer-hosted agents are responsible for running any components in data processing pipelines.To understand the flow of secrets in Data Productivity Cloud,