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Google Cloud Platform (GCP) is the public cloud offering from Google, and it's rapidly becoming more and more important for developers to learn about. Just using GCP’s core services will give you everything you need to begin your journey to the cloud. You can start with GCP’s infrastructure as a service (IaaS), creating virtual machines with the resources you need.
Like other cloud providers, with GCP, you only pay for what you use. GCP has a pricing structure that rewards you for using it—the more you use, the bigger your discount. And it's worth mentioning that GCP integrates natively with other Google products like Gmail, Docs, and Hangouts.
If you don't want or need to administer servers, GCP also has a platform as a service (PaaS) offering, which lets Google manage your infrastructure. While you’ll always share that responsibility with Google, the idea is that you can focus on creating cool products and let Google take care of the servers. You can spin up a MySQL or a PostgreSQL database in just a few clicks and start using it in your application.
But what's perhaps garnering the most attention in GCP is the PaaS offering for Kubernetes. It’s not a surprise that this is being offered; after all, Google has been using containers and orchestrators for several years now. There's no doubt that GCP has the best offering for Kubernetes as a managed service.
Last but not least, GCP also offers serverless services that allow you to upload your code and let Google handle the infrastructure at the scale you need.
In this course, we'll cover the ground services from GCP. You'll also be able to practice what you learn with useful labs.
- Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
- Course Outline
Part 1: Google Cloud Platform (GCP)
- What makes GCP different?
- GCP core fundamentals (services, projects, etc.)
- Identity access management (IAM)
- GCP console tour
Exercise: Create a GCP account and the first project
Part 2: GCP App Engine
- App engine overview
- App engine management (requests, routes, instances)
- App engine security: how to secure your applications by integrating it with other security services
- Microservices on app engine: how to deploy and manage microservices based-applications
- Standard environment: creating applications with pre-configured environments
- Flexible environment: creating applications with containers or any other version of the supported languages
Exercise: Create a hello world with Go
Part 3: GCP Networking
- Networking overview
- VPC network: how it’s different from traditional networks
- Network services: the different ones that GCP offers and how/when to use each one of them
- Network tiers: the difference between standard and premium tiers
- Network VPN: connect on-prem servers with GCP securely
- How security works in networking
Part 4: GCP Compute Engine
- Compute engine overview
- Virtual machine instances: the different types you can create and configure in GCP
- Compute engine storage: how to integrate VMs with different storage options and when to use them
- Compute engine networking: how networking works for VMs.
- Compute engine security (ACL): secure VMs by integrating them with the IAM service and grant access to users
- Creating high availability VMs that are always up and running
- Load balancers
- Regions and zones
Exercise: Create and manage a VM
Part 5: GCP Kubernetes Engine
- Kubernetes Engine overview: learn what is it and why you’d choose the Kubernetes managed service from GCP
- Kubernetes clusters: learn how to administer Kubernetes in GCP as a platform
- Deploying Kubernetes workloads to GKE
- Configuring Kubernetes cluster security
- Configuring Kubernetes cluster networking
- Working with storage in GKE
Exercise: Deploy a containerized application
Part 6: GCP Cloud Functions
- Cloud functions overview: learn about the serverless offering from GCP
- Node.js runtime: learn how to create Node.js functions
- Python runtime: learn how to create Python functions
- Events and triggers: integrating cloud functions with other GCP services
- Adding security to functions
Exercise: Create an HTTP function interacting with storage
Part 7: GCP Storage Options
- Storage options overview
- Storage services: learn about the most relevant storage services in GCP
- Bigtable: No-SQL service for high volumes of data and performing data analytics
- Datastore: No-SQL service for high-value transactional data for high traffic applications
- Firestore: No-SQL service for mobile applications
- Cloud storage: learn about the object storage service
- Cloud SQL: the managed service for relational DBs
- Spanner: the managed horizontal scalable service for relational DBs
- How to choose the proper storage option
Exercise: Create MySQL and PostgreSQL instances
Part 8: GCP Stackdriver
- Stackdriver monitoring overview
- Logging and error reporting
- Stackdriver APM: understanding and improving your applications with the different services from GCP
- Stackdriver trace: a service used to know how requests are propagated in the application
- Stackdriver debugger: a service used to know how to debug live running applications
- Stackdriver profiler: a service used to monitor CPU and heap of applications
- Who should attend