Developing Applications with Google Cloud

Developing Applications with Google CloudDAGCPGOGoogleGO-DAGCP2.0<ul> <li>Use best practices for application development</li><li>Choose the appropriate data storage option for application data</li><li>Implement federated identity management</li><li>Develop loosely coupled application components or microservices</li><li>Integrate application components and data sources</li><li>Debug, trace, and monitor applications</li><li>Perform repeatable deployments with containers and deployment services</li><li>Choose the appropriate application runtime environment</li></ul><ul> <li>Completed <a class="fl-href-prod" href="/swisscom/en/course/google-gcf-ci"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Google Cloud Fundamentals: Core Infrastructure (GCF-CI)</a> or have equivalent experience</li><li>Working knowledge of Node.js, Python, or Java</li><li>Basic proficiency with command-line tools and Linux operating system environments</li></ul>Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud.<h5>Module 1: Best Practices for Application Development</h5> Topics: <ul> <li>Code and environment management</li><li>Design and development of secure, scalable, reliable, loosely coupled application components and microservices</li><li>Continuous integration and delivery</li><li>Re-architecting applications for the cloud</li></ul>Objectives: <ul> <li>Design and develop secure, scalable, reliable, loosely coupled application components and microservices.</li><li>Understand how to rearchitect applications for the cloud.</li></ul>Activities: <ul> <li>Module quiz</li></ul><h4>Module 2 - Getting Started with Google Cloud Development</h4> Topics: <ul> <li>Overview of Google Cloud services for apps and scripts:<ul> <li>Google Cloud APIs</li><li>Cloud SDK</li><li>Cloud Client Libraries</li><li>Cloud Shell</li><li>Cloud Code</li></ul></li><li>Demo: Google APIs Explorer</li><li>Lab: Setting up a Development Environment</li></ul>Objectives: <ul> <li>Identify different Google Cloud services for hosting applications and scripts.</li></ul>Activities: <ul> <li>1 demo, 1 lab,1 quiz</li></ul><h4>Module 3 - Overview of Data Storage Options</h4> Topics: <ul> <li>Overview of options to store application data</li><li>Use cases for Cloud Storage, Firestore, Cloud Bigtable, Cloud SQL, and Cloud Spanner</li><li>Demo: Connecting Securely to a Cloud SQL Database</li></ul>Objectives: <ul> <li>Choose the appropriate data storage option for application data.</li></ul>Activities: <ul> <li>1 demo, 1 quiz</li></ul><h4>Module 4 - Best Practices for Using Datastore</h4> Topics: <ul> <li>Best practices related to using Firestore in Datastore mode for:<ul> <li>Queries</li><li>Built-in and composite indexes</li><li>Inserting and deleting data (batch operations)</li><li>Transactions</li><li>Error handling</li></ul></li><li>Demo: Explore Datastore</li><li>Demo: Use Dataflow to Bulk-load Data into Datastore</li><li>Lab: Storing Application Data in Datastore</li></ul>Objectives: <ul> <li>Bulk-load data into Firestore by using Dataflow</li><li>Understand best practices related to queries, built in and composite indexes, inserting and deleting data (batch data operations), and transactions error handling.</li></ul>Activities: <ul> <li>2 demos, 1 lab, 1 quiz</li></ul><h4>Module 5 - Performing Operations on Buckets and Objects</h4> Topics: <ul> <li>Cloud Storage concepts</li><li>Consistency model</li><li>Demo: Explore Cloud Storage</li><li>Request endpoints</li><li>Composite objects and parallel uploads</li><li>Truncated exponential backoff</li><li>Demo: Enable CORS Configuration in Cloud Storage</li></ul>Objectives: <ul> <li>Understand Cloud Storage concepts.</li><li>Differentiate between strongly consistent and eventually consistent operations.</li><li>Access Cloud Storage through request endpoints.</li><li>Use object composition to upload an object in parallel.</li><li>Use truncated exponential backoff to deal with network failures.</li></ul>Activities: <ul> <li>2 demos, 1 quiz</li></ul><h4>Module 6 - Best Practices for Using Cloud Storage</h4> Topics: <ul> <li>Naming buckets for static websites and other uses</li><li>Naming objects (from an access distribution perspective)</li><li>Performance considerations</li><li>Lab: Storing Image and Video Files in Cloud Storage</li></ul>Objectives: <ul> <li>Understand how to name buckets for static websites and other uses, how to name objects (from an access distribution perspective, and performance considerations.</li></ul>Activities: <ul> <li>1 lab and 1 quiz</li></ul><h4>Module 7 - Handling Authentication and Authorization</h4> Topics: <ul> <li>Identity and Access Management (IAM) roles and service accounts</li><li>User authentication by using Firebase Authentication</li><li>User authentication and authorization by using Identity-Aware Proxy</li><li>Lab: Adding User Authentication to your Application</li></ul>Objectives: <ul> <li>Implement federated identity management</li></ul>Activities: <ul> <li>1 lab and 1 quiz</li></ul><h4>Module 8 - Using Pub/Sub to Integrate Components of Your Application</h4> Topics: <ul> <li>Topics, publishers, and subscribers</li><li>Pull and push subscriptions</li><li>Use cases for Pub/Sub</li><li>Lab: Developing a Backend Service</li></ul>Objectives: <ul> <li>Understand Pub/Sub topics, publishers, and subscribers.</li><li>Understand pull and push subscriptions.</li><li>Explore use cases for Pub/Sub.</li></ul>Activities: <ul> <li>1 lab, 1 quiz</li></ul><h4>Module 9 - Adding Intelligence to Your Application</h4> Topics: <ul> <li>Overview of pre-trained machine learning APIs such as the Vision API and the Cloud Natural Language Processing API.</li></ul>Objectives: <ul> <li>Explore pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language API.</li></ul>Activities: <ul> <li>1 quiz</li></ul><h4>Module 10 - Using Cloud Functions for Event-Driven Processing</h4> Topics: <ul> <li>Key concepts such as triggers, background functions, HTTP functions</li><li>Use cases</li><li>Developing and deploying functions</li><li>Logging, error reporting, and monitoring</li><li>Demo: Invoke Cloud Functions Through Direct Request-response</li><li>Lab: Processing Pub/Sub Data using Cloud Functions</li></ul>Objectives: <ul> <li>Use Cloud Functions for event-driven processing.</li></ul>Activities: <ul> <li>1 demo, 1 lab, 1 quiz</li></ul><h4>Module 11 - Managing APIs with Cloud Endpoints</h4> Topics: <ul> <li>Open API deployment configuration</li><li>Lab: Deploying an API for the Quiz Application</li></ul>Objectives: <ul> <li>Understand OpenAPI deployment configuration.</li></ul>Activities: <ul> <li>1 lab, 1 quiz</li></ul><h4>Module 12 - Deploying Applications</h4> Topics: <ul> <li>Creating and storing container images</li><li>Repeatable deployments with deployment configuration and templates</li><li>Demo: Exploring Cloud Build and Cloud Container Registry</li><li>Lab: Deploying the Application into Kubernetes Engine</li></ul>Objectives: <ul> <li>Understand how to create and store container images.</li><li>Create repeatable deployments with deployment configuration and templates.</li></ul>Activities: <ul> <li>1 demo, 1 lab, 1 quiz</li></ul><h4>Module 13 - Compute Options for Your Application</h4> Topics: <ul> <li>Considerations for choosing a compute option for your application or service:<ul> <li>Compute Engine</li><li>Google Kubernetes Engine (GKE)</li><li>Cloud Run</li><li>Cloud Functions</li></ul></li><li>Platform comparisons.<ul> <li>Comparing App Engine and Cloud Run</li></ul></li></ul>Objectives: <ul> <li>Explore considerations for choosing a compute option for your application or service.</li></ul>Activities: <ul> <li>1 quiz</li></ul><h4>Module 14 - Debugging, monitoring, and Tuning Performance</h4> Topics: <ul> <li>Google Cloud’s operations suite</li><li>Managing performance</li><li>Lab: Debugging Application Errors</li><li>Logging</li><li>Monitoring and tuning performance</li><li>Identifying and troubleshooting performance issues</li><li>Lab: Harnessing Cloud Trace and Cloud Monitoring</li></ul>Objectives: <ul> <li>Debug an application error by using Cloud Debugger and Error Reporting.</li><li>Use Cloud Monitoring and Cloud Trace to trace a request across services, observe, and optimize performance.</li></ul>Activities: <ul> <li>1 demo, 2 labs, 1 quiz</li></ul>[/list]- Use best practices for application development - Choose the appropriate data storage option for application data - Implement federated identity management - Develop loosely coupled application components or microservices - Integrate application components and data sources - Debug, trace, and monitor applications - Perform repeatable deployments with containers and deployment services - Choose the appropriate application runtime environment- Completed Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or have equivalent experience - Working knowledge of Node.js, Python, or Java - Basic proficiency with command-line tools and Linux operating system environmentsApplication developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud.Module 1: Best Practices for Application Development Topics: - Code and environment management - Design and development of secure, scalable, reliable, loosely coupled application components and microservices - Continuous integration and delivery - Re-architecting applications for the cloud Objectives: - Design and develop secure, scalable, reliable, loosely coupled application components and microservices. - Understand how to rearchitect applications for the cloud. Activities: - Module quiz Module 2 - Getting Started with Google Cloud Development Topics: - Overview of Google Cloud services for apps and scripts: - Google Cloud APIs - Cloud SDK - Cloud Client Libraries - Cloud Shell - Cloud Code - Demo: Google APIs Explorer - Lab: Setting up a Development Environment Objectives: - Identify different Google Cloud services for hosting applications and scripts. Activities: - 1 demo, 1 lab,1 quiz Module 3 - Overview of Data Storage Options Topics: - Overview of options to store application data - Use cases for Cloud Storage, Firestore, Cloud Bigtable, Cloud SQL, and Cloud Spanner - Demo: Connecting Securely to a Cloud SQL Database Objectives: - Choose the appropriate data storage option for application data. Activities: - 1 demo, 1 quiz Module 4 - Best Practices for Using Datastore Topics: - Best practices related to using Firestore in Datastore mode for: - Queries - Built-in and composite indexes - Inserting and deleting data (batch operations) - Transactions - Error handling - Demo: Explore Datastore - Demo: Use Dataflow to Bulk-load Data into Datastore - Lab: Storing Application Data in Datastore Objectives: - Bulk-load data into Firestore by using Dataflow - Understand best practices related to queries, built in and composite indexes, inserting and deleting data (batch data operations), and transactions error handling. Activities: - 2 demos, 1 lab, 1 quiz Module 5 - Performing Operations on Buckets and Objects Topics: - Cloud Storage concepts - Consistency model - Demo: Explore Cloud Storage - Request endpoints - Composite objects and parallel uploads - Truncated exponential backoff - Demo: Enable CORS Configuration in Cloud Storage Objectives: - Understand Cloud Storage concepts. - Differentiate between strongly consistent and eventually consistent operations. - Access Cloud Storage through request endpoints. - Use object composition to upload an object in parallel. - Use truncated exponential backoff to deal with network failures. Activities: - 2 demos, 1 quiz Module 6 - Best Practices for Using Cloud Storage Topics: - Naming buckets for static websites and other uses - Naming objects (from an access distribution perspective) - Performance considerations - Lab: Storing Image and Video Files in Cloud Storage Objectives: - Understand how to name buckets for static websites and other uses, how to name objects (from an access distribution perspective, and performance considerations. Activities: - 1 lab and 1 quiz Module 7 - Handling Authentication and Authorization Topics: - Identity and Access Management (IAM) roles and service accounts - User authentication by using Firebase Authentication - User authentication and authorization by using Identity-Aware Proxy - Lab: Adding User Authentication to your Application Objectives: - Implement federated identity management Activities: - 1 lab and 1 quiz Module 8 - Using Pub/Sub to Integrate Components of Your Application Topics: - Topics, publishers, and subscribers - Pull and push subscriptions - Use cases for Pub/Sub - Lab: Developing a Backend Service Objectives: - Understand Pub/Sub topics, publishers, and subscribers. - Understand pull and push subscriptions. - Explore use cases for Pub/Sub. Activities: - 1 lab, 1 quiz Module 9 - Adding Intelligence to Your Application Topics: - Overview of pre-trained machine learning APIs such as the Vision API and the Cloud Natural Language Processing API. Objectives: - Explore pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language API. Activities: - 1 quiz Module 10 - Using Cloud Functions for Event-Driven Processing Topics: - Key concepts such as triggers, background functions, HTTP functions - Use cases - Developing and deploying functions - Logging, error reporting, and monitoring - Demo: Invoke Cloud Functions Through Direct Request-response - Lab: Processing Pub/Sub Data using Cloud Functions Objectives: - Use Cloud Functions for event-driven processing. Activities: - 1 demo, 1 lab, 1 quiz Module 11 - Managing APIs with Cloud Endpoints Topics: - Open API deployment configuration - Lab: Deploying an API for the Quiz Application Objectives: - Understand OpenAPI deployment configuration. Activities: - 1 lab, 1 quiz Module 12 - Deploying Applications Topics: - Creating and storing container images - Repeatable deployments with deployment configuration and templates - Demo: Exploring Cloud Build and Cloud Container Registry - Lab: Deploying the Application into Kubernetes Engine Objectives: - Understand how to create and store container images. - Create repeatable deployments with deployment configuration and templates. Activities: - 1 demo, 1 lab, 1 quiz Module 13 - Compute Options for Your Application Topics: - Considerations for choosing a compute option for your application or service: - Compute Engine - Google Kubernetes Engine (GKE) - Cloud Run - Cloud Functions - Platform comparisons. - Comparing App Engine and Cloud Run Objectives: - Explore considerations for choosing a compute option for your application or service. Activities: - 1 quiz Module 14 - Debugging, monitoring, and Tuning Performance Topics: - Google Cloud’s operations suite - Managing performance - Lab: Debugging Application Errors - Logging - Monitoring and tuning performance - Identifying and troubleshooting performance issues - Lab: Harnessing Cloud Trace and Cloud Monitoring Objectives: - Debug an application error by using Cloud Debugger and Error Reporting. - Use Cloud Monitoring and Cloud Trace to trace a request across services, observe, and optimize performance. Activities: - 1 demo, 2 labs, 1 quiz [/list]3 days1950.001950.001950.001995.002220.001460.00995.001950.00165750.001995.001980.006770.002095.002095.001460.001460.001460.001950.002755.002450.00