Developing Applications with Google Cloud Platform (DAGCP)

 

Course Overview

In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

Who Should Attend

Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.

Prerequisites

To get the most of out of this course, participants should have:

  • Completed Google Cloud Platform Fundamentals or have equivalent experience
  • Working ​knowledge ​of Node.js
  • Basic proficiency with command-line tools and Linux operating system environments

Course Objectives

This course teaches participants the following skills:

  • 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; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex

Course Content

Module 1: Best ​Practices ​for Application ​Development
  • 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
Module 2: Google ​Cloud ​Client Libraries, ​Google ​Cloud ​SDK, ​and Google ​Firebase ​SDK
  • How ​to ​set ​up ​and ​use ​Google ​Cloud ​Client ​Libraries, ​Google ​Cloud SDK, ​and ​Google ​Firebase ​SDK
  • Lab: ​Set ​up ​Google ​Client ​Libraries, ​Google ​Cloud ​SDK, ​and ​Firebase SDK ​on ​a ​Linux ​instance ​and ​set ​up ​application ​credentials
Module 3: Overview ​of ​Data Storage ​Options
  • Overview ​of ​options ​to ​store ​application ​data
  • Use ​cases ​for ​Google ​Cloud ​Storage, ​Google ​Cloud ​Datastore, ​Cloud Bigtable, ​Google ​Cloud ​SQL, ​and ​Cloud ​Spanner
Module 4: Best ​Practices ​for ​Using Cloud ​Datastore
  • Best ​practices ​related ​to ​the ​following:
    • Queries
    • Built-in ​and ​composite ​indexes
    • Inserting ​and ​deleting ​data ​(batch ​operations)
    • Transactions
    • Error ​handling
  • Bulk-loading ​data ​into ​Cloud ​Datastore ​by ​using ​Google ​Cloud Dataflow
  • Lab: ​Store ​application ​data ​in ​Cloud ​Datastore
Module 5: Performing ​Operations on ​Buckets ​and ​Objects
  • Operations ​that ​can ​be ​performed ​on ​buckets ​and ​objects
  • Consistency ​model
  • Error ​handling
Module 6: Best ​Practices ​for ​Using Cloud ​Storage
  • Naming ​buckets ​for ​static ​websites ​and ​other ​uses
  • Naming ​objects ​(from ​an ​access ​distribution ​perspective)
  • Performance ​considerations
  • Setting ​up ​and ​debugging ​a ​CORS ​configuration ​on ​a ​bucket
  • Lab: ​Store ​files ​in ​Cloud ​Storage
Module 7: Securing ​Your Application
  • Cloud ​Identity ​and ​Access ​Management ​(IAM) ​roles ​and ​service accounts
  • User ​authentication ​by ​using ​Firebase ​Authentication
  • User ​authentication ​and ​authorization ​by ​using ​Cloud ​Identity-Aware Proxy
  • Lab: ​Authenticate ​users ​by ​using ​Firebase ​Authentication
Module 8: Using ​Google ​Cloud Pub/Sub ​to ​Integrate ​Components of ​Your ​Application
  • Topics, ​publishers, ​and ​subscribers
  • Pull ​and ​push ​subscriptions
  • Use ​cases ​for ​Cloud ​Pub/Sub
  • Lab: ​Develop ​a ​backend ​service ​to ​process ​messages ​in ​a ​message queue
Module 9: Adding ​Intelligence ​to Your ​Application
  • Overview ​of ​pre-trained ​machine ​learning ​APIs ​such ​as ​Cloud ​Vision API ​and ​Cloud ​Natural ​Language ​Processing ​API
Module 10: Using ​Cloud ​Functions for ​Event-Driven ​Processing
  • Key ​concepts ​such ​as ​triggers, ​background ​functions, ​HTTP ​functions
  • Use ​cases
  • Developing ​and ​deploying ​functions
  • Logging, ​error ​reporting, ​and ​monitoring
Module 11: ​Using ​Cloud ​Endpoints to ​Deploy ​APIs
  • Open ​API ​deployment ​configuration
  • Lab: ​Deploy ​an ​API ​for ​your ​application
Module 12: Debugging ​Your Application ​by ​Using ​Google Stackdriver
  • Stackdriver ​Debugger
  • Stackdriver ​Error ​Reporting
  • Lab: ​Debugging ​an ​application ​error ​by ​using ​Stackdriver ​Debugger and ​Error ​Reporting
Module 13: Deploying ​an Application ​by ​Using ​Google ​Cloud Container ​Builder, ​Google ​Cloud Container ​Registry, ​and ​Google Cloud ​Deployment ​Manager
  • Creating ​and ​storing ​container ​images
  • Repeatable ​deployments ​with ​deployment ​configuration ​and templates
  • Lab: ​Use ​Deployment ​Manager ​to ​deploy ​a ​web ​application ​into Google ​App ​Engine ​Flex ​test ​and ​production ​environments
Module 14: Execution Environments ​for ​Your ​Application
  • Considerations ​for ​choosing ​an ​execution ​environment ​for ​your application ​or ​service:
    • Google ​Compute ​Engine
    • Container ​Engine
    • App ​Engine ​Flex
    • Cloud ​Functions
    • Cloud ​Dataflow
  • Lab: ​Deploying ​your ​application ​on ​App ​Engine ​Flex
Module 15: ​Monitoring ​and ​Tuning Performance
  • Best ​practices ​and ​watchpoints ​for ​performance
  • Key ​concepts ​related ​to ​Stackdriver ​Trace ​and ​Stackdriver ​Monitoring
  • Detecting ​and ​resolving ​performance ​issues
  • Lab: ​Use ​Stackdriver ​Monitoring ​and ​Stackdriver ​Trace ​to ​trace ​a request ​across ​services, ​observe, ​and ​optimize ​performance
Online training

Duur 3 dagen

Prijs (excl. BTW)
  • 1.995,- €
Klassikale training

Duur 3 dagen

Prijs (excl. BTW)
  • Nederland: 1.995,- €
  • België: 1.995,- €

Beschikbare data

Instructor-led Online Training:   Dit is een Instructor-Led Online (ILO) training: een online training verzorgd door een trainer.
Trainingen gemarkeerd met het groene blad zijn FLEX-trainingen: trainingen die zowel klassikaal als online gevolgd kunnen worden. Je kiest zelf de gewenste leervorm.
Engels
Tijdzone CEST
17-11-2020 ― 19-11-2020 Online training Tijdzone: CET
23-11-2020 ― 25-11-2020 Online training Tijdzone: CET
1 uur tijdsverschil
17-11-2020 ― 19-11-2020 Online training Tijdzone: GMT
15-02-2021 ― 17-02-2021 Online training Dit is een FLEX-training in het Engels.
Tijdzone: GMT
19-04-2021 ― 21-04-2021 Online training Dit is een FLEX-training in het Engels.
Tijdzone: BST
21-06-2021 ― 23-06-2021 Online training Dit is een FLEX-training in het Engels.
Tijdzone: BST
16-08-2021 ― 18-08-2021 Online training Dit is een FLEX-training in het Engels.
Tijdzone: BST
2 uur tijdsverschil
30-11-2020 ― 02-12-2020 Online training Tijdzone: UTC+3
7 uur tijdsverschil
11-11-2020 ― 13-11-2020 Online training Tijdzone: CST
17-11-2020 ― 19-11-2020 Online training Tijdzone: CST
Trainingen gemarkeerd met het groene blad zijn FLEX-trainingen: trainingen die zowel klassikaal als online gevolgd kunnen worden. Je kiest zelf de gewenste leervorm.
Nederland
17-11-2020 ― 19-11-2020 Utrecht Dit is een FLEX-training.   Tijdzone: Europe/Amsterdam Taal: Engels boek direct:
de online FLEX-training
de klassikale FLEX-training
23-11-2020 ― 25-11-2020 Utrecht Dit is een FLEX-training.   Tijdzone: Europe/Amsterdam Taal: Engels boek direct:
de online FLEX-training
de klassikale FLEX-training
FLEX-trainingen

Een FLEX-training is een Engelstalige training die plaatsvindt in één van de Fast Lane-trainingscentra in Europa en die online gevolgd kan worden vanaf uw eigen locatie. Bekijk hieronder alle beschikbare FLEX-data.

15-02-2021 ― 17-02-2021 Online training Dit is een FLEX-training in het Engels.   Tijdzone: Europe/London boek direct