{"id":4899,"date":"2020-04-19T20:09:04","date_gmt":"2020-04-19T20:09:04","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4899"},"modified":"2022-03-10T11:59:13","modified_gmt":"2022-03-10T11:59:13","slug":"cloud-composer-overview-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-composer-overview-google-professional-data-engineer-gcp\/","title":{"rendered":"Cloud Composer Overview: Google Professional Data Engineer GCP"},"content":{"rendered":"\n<p>In this, we will get Cloud Composer Overview.<\/p>\n\n\n<p><strong>Cloud Composer Overview:<\/strong><\/p>\n<ul>\n<li>Is a managed workflow orchestration service that is built on Airflow<\/li>\n<li>deploys multiple components to run Airflow.<\/li>\n<li>Composer relies on certain configurations to successfully execute workflows.<\/li>\n<li>Altering configurations can have unintended consequences or break Airflow deployment.<\/li>\n<\/ul>\n<p><strong>Environments<\/strong><\/p>\n<ul>\n<li>Airflow is a micro-service architected framework.<\/li>\n<li>To deploy Airflow, provision many GCP components, called Cloud Composer environment.<\/li>\n<li>Can create one or more Cloud Composer environments inside of a project.<\/li>\n<li>Environments are self-contained Airflow deployments based on GKE.<\/li>\n<li>environments work with Google Cloud services.<\/li>\n<li>create Cloud Composer environments in supported regions<\/li>\n<li>environments run within a Compute Engine zone.<\/li>\n<li>Airflow communicates with other Google Cloud products through the products&#8217; public APIs.<\/li>\n<\/ul>\n<h6><strong>Architecture<\/strong><\/h6>\n<p>Cloud Composer distributes the environment&#8217;s resources between a Google-managed tenant project and a customer project, as<\/p>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-4685 aligncenter\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image026-440x400.png\" alt=\"\" width=\"440\" height=\"400\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image026-440x400.png 440w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image026.png 633w\" sizes=\"auto, (max-width: 440px) 100vw, 440px\" \/>Tenant project resources<\/strong><\/p>\n<ul>\n<li>For unified Cloud IAM, access control and data security, Cloud Composer deploys Cloud SQL and App Engine in the tenant project.<\/li>\n<\/ul>\n<p>Cloud SQL<\/p>\n<ul>\n<li>Cloud SQL stores the Airflow metadata.<\/li>\n<li>Composer limits database access to the default or the specified custom service account used to create the environment.<\/li>\n<li>Composer backs up the Airflow metadata daily to minimize potential data loss.<\/li>\n<li>Only service account used to create the Composer environment can access data in the Cloud SQL database.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<h6>App Engine<\/h6>\n<ul>\n<li>Its flexible environment hosts the Airflow web server.<\/li>\n<li>By default, the Airflow web server is integrated with Identity-Aware Proxy.<\/li>\n<li>Also enables you to use the Cloud Composer IAM policy to manage web server access.<\/li>\n<li>Composer also supports deploying a self-managed Airflow web server in the customer project.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>Customer project resources<\/p>\n<p>Composer deploys following in customer project.<\/p>\n<ul>\n<li>Cloud Storage: provides the storage bucket for staging DAGs, plugins, data dependencies, and logs.<\/li>\n<li>Google Kubernetes Engine: By default, Cloud Composer deploys core components\u2014such as Airflow scheduler, worker nodes, and CeleryExecutor\u2014in a GKE. Composer also supports VPC-native clusters using alias IPs.<\/li>\n<li>Redis, the message broker for the CeleryExecutor, runs as a StatefulSet application so that messages persist across container restarts.<\/li>\n<li>Cloud Logging and Cloud Monitoring: Composer integrates with Cloud Logging and Cloud Monitoring, to view all Airflow service and workflow logs.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<h6>Cloud Composer Environment Component<\/h6>\n<p>Components for each environment:<\/p>\n<ul>\n<li>Web server: The web server runs the Apache Airflow web interface, and Identity-Aware Proxy protects the interface.<\/li>\n<li>Database: The database holds the Apache Airflow metadata.<\/li>\n<li>Cloud Storage bucket: bucket stores the DAGs, logs, custom plugins, and data for the environment.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>Airflow management:<\/p>\n<p>Use following Airflow-native tools for management<\/p>\n<ul>\n<li>Web interface: Access Airflow web interface from the Google Cloud Console or by direct URL.<\/li>\n<li>Command line tools: run gcloud composer commands to issue Airflow command-line commands.<\/li>\n<li>Cloud Composer REST and RPC APIs<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<h6>Airflow configuration:<\/h6>\n<ul>\n<li>configurations Composer provides for Apache Airflow are the same as the configurations for a locally-hosted Airflow deployment.<\/li>\n<li>Some Airflow configurations are preconfigured<\/li>\n<li>cannot change the configuration properties.<\/li>\n<li>Other configurations, to be specified when creating or updating environment.<\/li>\n<\/ul>\n<p>Airflow DAGs (workflows):<\/p>\n<ul>\n<li>An Apache Airflow DAG is a workflow: a collection of tasks with additional task dependencies.<\/li>\n<li>Cloud Storage used to store DAGs.<\/li>\n<li>To add or remove DAGs add or remove the DAGs from the Cloud Storage bucket<\/li>\n<li>Can schedule DAGs<\/li>\n<li>can trigger DAGs manually or in response to events<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<h6>Plugins<\/h6>\n<ul>\n<li>can install custom plugins, into Cloud Composer environment.<\/li>\n<\/ul>\n<p>Python dependencies<\/p>\n<ul>\n<li>can install Python dependencies from Python Package Index.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>Access control<\/p>\n<ul>\n<li>manage security at the Google Cloud project level<\/li>\n<li>assign Cloud IAM roles for control.<\/li>\n<li>Without appropriate Cloud Composer IAM role, no access to any of environments.<\/li>\n<\/ul>\n<h6>Logging and monitoring:<\/h6>\n<ul>\n<li>can view Airflow logs that are associated with single DAG tasks<\/li>\n<li>View in the Airflow web interface and<\/li>\n<li>the logs folder in the associated Cloud Storage bucket.<\/li>\n<li>Streaming logs are available for Cloud Composer.<\/li>\n<li>access streaming logs in Logs Viewer in Google Cloud Console.<\/li>\n<li>Also has audit logs, such as Admin Activity audit logs, for Google Cloud projects.<\/li>\n<\/ul>\n<p>Networking and security:<\/p>\n<p>During environment creation, following configuration options available<\/p>\n<ul>\n<li>Cloud Composer environment with a route-based GKE cluster (default)<\/li>\n<li>Private IP Cloud Composer environment<\/li>\n<li>Cloud Composer environment with a VPC Native GKE cluster using alias IP addresses<\/li>\n<li>Shared VPC<\/li>\n<\/ul>\n<h6><strong>Create a Project<\/strong><\/h6>\n<p>To create a project and enable the Cloud Composer API:<\/p>\n<ul>\n<li>In the Cloud Console, select or create a project.<\/li>\n<li>Make sure that billing is enabled for project.<\/li>\n<li>To activate the Cloud Composer API in a new or existing project, go to the API Overview page for Cloud Composer.<\/li>\n<li>Click Enable.<\/li>\n<\/ul>\n<p><strong>Cloud Composer Versioning<\/strong><\/p>\n<ul>\n<li>Airflow follows the semantical software versioning schema.<\/li>\n<li>Composer supports last two stable minor Airflow releases and latest two patch versions for those minor releases.<\/li>\n<\/ul>\n\n\n<p><strong><a href=\"https:\/\/www.testpreptraining.ai\/certified-professional-data-engineer-practice-exam\" target=\"_blank\" rel=\"noreferrer noopener\">Pass the GCP Exam Now!<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this, we will get Cloud Composer Overview. Cloud Composer Overview: Is a managed workflow orchestration service that is built on Airflow deploys multiple components to run Airflow. Composer relies on certain configurations to successfully execute workflows. Altering configurations can have unintended consequences or break Airflow deployment. Environments Airflow is a micro-service architected framework. To&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[617],"tags":[742,743,619,623,622,618,621],"class_list":["post-4899","page","type-page","status-publish","hentry","category-google-gcp","tag-cloud-composer","tag-cloud-composer-overview","tag-data-engineer","tag-gcp","tag-google-certification","tag-google-cloud","tag-professional-data-engineer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cloud Composer Overview: Google Professional Data Engineer GCP - Testprep Training Tutorials<\/title>\n<meta name=\"description\" content=\"Pass the Google Cloud Certified Professional Data Engineer exam by getting the concepts of Cloud Composer overview Now!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-composer-overview-google-professional-data-engineer-gcp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cloud Composer Overview: Google Professional Data Engineer GCP - 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