Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services.It consists of a set of physical assets, such as computers and hard disk drives, and virtual resources, such as virtual machines (VMs), that are contained in Google's data centers around the globe. Each data center location is in a region.
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Introduction to Google Cloud Platform
Overview of cloud computing
Google Cloud Platform services
Creating a Google Cloud account
Understanding GCP Console and CLI
Compute Services
Creating and managing virtual machines with Compute Engine
Scaling and load balancing
Deploying containerized applications with Kubernetes Engine
Serverless computing with Cloud Functions
Storage and Database Services
Cloud Storage for object storage and archival
Cloud SQL and Cloud Spanner for relational databases
Cloud Bigtable and Cloud Datastore for NoSQL databases
Managing data with Cloud Storage Transfer Service
Networking Services
Virtual Private Cloud (VPC) network
Cloud Load Balancing for distributing traffic
Cloud DNS for DNS management
Cloud CDN for content delivery
Security and Identity Services
Identity and Access Management (IAM)
Cloud Identity-Aware Proxy for secure access
Cloud Security Scanner for detecting vulnerabilities
Cloud Armor for DDoS protection
Big Data and Machine Learning Services
Storing and analyzing data with BigQuery
Building data pipelines with Cloud Dataflow
Using AI and machine learning with Cloud AI Platform
Training and deploying machine learning models with AutoML
Internet of Things (IoT)
Using Cloud IoT Core for device management and data ingestion
Building IoT applications with Cloud Pub/Sub
Visualizing IoT data with Cloud Data Studio
Building machine learning models for IoT with Cloud ML Engine
Hybrid and Multi-cloud Solutions
Connecting on-premises infrastructure to GCP with Cloud VPN and Cloud Interconnect
Extending GCP to other clouds with Anthos
Building hybrid architectures with Kubernetes Engine
Managing multi-cloud environments with Cloud Services Platform
Cost Management and Optimization
Billing and cost management tools in GCP
Cost optimization strategies for GCP services
Using Stackdriver for monitoring and troubleshooting
Optimizing compute resources with Google Compute Engine autoscaling
Best Practices and Case Studies
Best practices for GCP architecture and operations
Case studies of successful GCP implementations
Preparing for GCP certification exams
Building a career in cloud computing with GCP
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