GCP (Google Cloud Platform) is a comprehensive suite of cloud computing services provided by Google. It offers a wide range of infrastructure, storage, data analytics, machine learning, and developer tools to help businesses build, deploy, and scale their applications. GCP provides services such as virtual machines (Compute Engine), managed Kubernetes (Google Kubernetes Engine), serverless computing (Cloud Functions), storage (Cloud Storage), databases (Cloud SQL, Firestore), and big data analytics (BigQuery).
Module 1: GCP Fundamentals
Introduction to GCP
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. GCP offers services for compute, storage, networking, Big Data, Machine Learning, and more. All of these services run on the same infrastructure that Google uses for its end-user products, like Google Search, YouTube, and more.
Setting up a GCP account
To start using GCP services, you first need to create a Google Cloud account. This involves providing your email address and credit card details. Google offers a Free Tier with certain services free for 12 months, up to a specific usage limit.
The Google Cloud Console is a web-based interface that you can use to manage your GCP resources. The console provides a user-friendly platform to manage and monitor everything from virtual machines to AI models.
Understanding GCP Global Infrastructure
Google Cloud services are available in locations across North America, South America, Europe, Asia, and Australia. These locations are divided into regions, zones, and multi-regional locations. A region is a specific geographical location where you can host your resources. Each region has one or more zones.
Module 2: Core GCP Services
Google Compute Engine (GCE) is an Infrastructure-as-a-Service (IaaS) that allows you to run workloads on Google's physical hardware. GCE offers virtual machines with different customizable configurations of CPU, memory, and storage.
Google Cloud Storage is an object storage service for storing and accessing data. It is built for live data that requires to be frequently accessed and served with low latency, such as websites, streaming videos, and mobile apps.
BigQuery is Google's fully managed, NoOps, low-cost analytics database. You can run fast, SQL-like queries against multi-terabyte datasets in seconds, with fresher data due to near real-time updates.
Google Cloud Functions is a serverless execution environment for building and connecting cloud services. With Cloud Functions you write simple, single-purpose functions that are attached to events emitted from your cloud infrastructure and services.
Module 3: Networking and Security on GCP
Virtual Private Cloud (VPC) provides networking functionality to the Google Cloud services. VPC provides global, scalable, flexible networking for your cloud-based services. You can also connect a VPC to your on-premises network.
Identity and Access Management (IAM)
Google Cloud's IAM offers unified control over permissions for GCP resources. IAM provides a consistent view of who has access to what across your organization.
Cloud Security Scanner
Google Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications. It is designed to complement your existing secure design and development processes.
Cloud Armor works with Cloud Load Balancing to provide built-in defenses against infrastructure DDoS attacks. It also features an application-aware, global HTTP(S) load-balancing platform that can scale your applications.
Module 4: Advanced GCP Services and Best Practices
GCP DevOps Tools
Google Cloud provides a range of DevOps services such as Cloud Source Repositories for source code management, Cloud Build for CI/CD, and more. These tools help you effectively manage your application development lifecycle.
Google Cloud Monitoring provides visibility into the performance, uptime, and overall health of your applications. It collects metrics, events, and metadata from Google Cloud, Amazon Web Services, hosted uptime probes, application instrumentation, and a variety of common application components including Cassandra, Nginx, Apache Web Server, Elasticsearch, and many others.
GCP Best Practices
Best practices for GCP include designing for cost optimization, performance efficiency, and operational excellence. This can involve choosing the right storage and compute options, managing and monitoring your resources effectively, and applying security at every layer of your application.