Google Cloud Platform Developer Bootcamp (Part 2 of 2 )

Categories: Cloud

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Course Info

Curriculum

About Course

Deploying Applications

3.1 Implementing appropriate deployment strategies based on the target compute environment
Blue/green deployments, Traffic-splitting deployments Rolling deployments, Canary deployments
Whiteboard - App Engine
Demo App Engin A/B Testing
3.2 Deploying applications and services on Compute Engine
Demo - Launching a compute instance using GCP Console and Cloud SDK
Whiteboard - Moving a persistent disk to different VM
Demo - Creating an autoscaled ma...

Deploying Applications

3.1 Implementing appropriate deployment strategies based on the target compute environment
Blue/green deployments, Traffic-splitting deployments Rolling deployments, Canary deployments
Whiteboard - App Engine
Demo App Engin A/B Testing
3.2 Deploying applications and services on Compute Engine
Demo - Launching a compute instance using GCP Console and Cloud SDK
Whiteboard - Moving a persistent disk to different VM
Demo - Creating an autoscaled managed instance group using an instance template
Demo - Generating/uploading a custom SSH key for instances
Demo - Configuring a VM for Stackdriver monitoring and logging
Demo - an instance with a startup script that installs software
Demo - Creating custom metadata tags
Demo - Creating a load balancer for Compute Engine instances
3.3 Deploying applications and services on Google Kubernetes Engine
Demo - Deploying a GKE cluster
Deploying a containerized application to GKE
Demo - Configuring GKE application monitoring and logging
Demo - Creating a load balancer for GKE instances
Building a container image using Cloud Build
Demo - SDK Update
Test Tips
3.4 Deploying an application to App Engine
Scaling configuration, Versions, Traffic splitting, Blue/green deployment
App Engine or Kubernetes
Test Tips
3.5 Deploying a Cloud Function
Cloud Functions that are triggered, (Event and Http)
Codelabs - Cloud Functions
Test Tips
3.6 Creating data storage resources
Creating a Cloud Repository
Creating a Cloud SQL instanceCreating composite indexes in Cloud Datastore
Demo - Creating BigQuery datasets
Whitepaper Cloud Spanner
Demo - Creating a Cloud Storage bucket
Demo - Creating a Cloud Pub/Sub topic
Test Tips
3.7 Deploying and implementing networking resources
Creating an auto mode VPC with subnets and Creating ingress and egress firewall rules for a VPC
Setting up a domain using Cloud DNS
Test Tips
3.8 Automating resource provisioning with Deployment Manager
Deployment Manager
Demo Deployment Manager
Test Tips
3.9 Managing Service accounts. Tasks include:
Demo - Creating a service account with a minimum number of scopes require
Demo Downloading and using a service account private key file
Test Tips
Codelabs
Section Review Questions

Integrating Google Cloud Platform Services

4. Integrating Google Cloud Platform Services
4.1 Integrating an application with Data and Storage services
Demo - Enabling BigQuery and setting permissions on a dataset
Writing an SQL query to retrieve data from relational databases
Codelab - Analyzing data using BigQuery
Fetching data from various databases
Demo - Enabling Cloud SQL and configuring an instance
Connecting to a Cloud SQL instance
Demo -Enabling Cloud Spanner and configuring an instance
Cloud Spanner Best Practices
Cloud Spanner or Cloud SQL
Configuring a Cloud Pub/Sub push subscription to call an endpoint
Cloud Spanner Configuration Basics to Know
Storing and retrieving objects from Google Storage
Publishing and consuming from Data Ingestion sources
Quickstart- Cloud Storage
BigTable or BigQuery
Cloud DataProc or Cloud DataFlow
Test Tips
4.2 Integrating an application with compute services. Tasks include:
Implementing service discovery in Google Kubernetes Engine, App Engine, and Compute Engine
Writing an application that publishes/consumes from Cloud Pub/Sub
Reading instance metadata to obtain application configuration
Authenticating users by using Oauth2 Web Flow and Identity Aware Proxy
Using the CLI tools
Test Tips
4.3 Integrating Google Cloud APIs with applications. Tasks include:
Demo Enabling a GCP API
Using pre-trained Google ML APIs
Making API calls with a Cloud Client Library, the REST API, or the APIs Explorer
Whiteboard Network Considerations
Using service accounts to make Google API calls
Using APIs to read/write to data services (BigQuery, Cloud Spanner)
Using the Cloud SDK to perform basic tasksData Loss Prevention API
Test Tips -commands
Review Questions

Managing Application Performance Monitoring

5. Managing Application Performance Monitoring
5.1 Install Logging and Monitoring Agent
Install Monitoring and Logging Agents
5.2 Managing VMs. Tasks include:
Debugging a custom VM image using the serial port
Analyzing a failed Compute Engine VM startup
Sending logs from a VM to Stackdriver
Test Tips
5.3 Viewing application performance metrics using Stackdriver.
Tasks include: Creating a monitoring dashboard
Demo Create Dashboard
Viewing syslogs from a VM
Writing custom metrics and creating metrics from logs
Graphing metrics Using Stackdriver Debugger
Streaming logs from the GCP Console
Reviewing stack traces for error analysis
Setting up log sinks
Viewing logs in the GCP Console
Profiling performance of request-response
Reviewing application performance using Stackdriver Trace and Stackdriver Logging
Quickstart- Monitoring and Profiling AppTest Tips
5.4 Diagnosing and resolving application performance issues.
Setting up time checks and other basic alert
Troubleshooting network issues
Codelab Networking
API Debbugging
Troubleshooting issues with the image/OS
Documentation and Support
Test Tips
Section Review Questions
Case Study Overview
Case Study Questions
Exam Prep Tips
Top Ten Things to know for the exam
Qwiklabs
Codelabs
Cloud Developer Deep Dive Notes
Google Cloud Sponsored Questions
Additional Practice Questions online
TheGCPGurus.com
Comparing GCP to AWS Certifications
Cloud Architecture Reference- Project Treehouse
Good Luck and Course Closeout

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S4S Academy

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3 Students

135 Courses

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