1. Google Cloud Platform (GCP) Concepts
Google Cloud Platform is a suite of cloud computing services offered by Google. Here are some fundamental concepts to understand when working with GCP:
1. Google Cloud Regions and Zones
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Regions: GCP is organized into multiple geographical regions, each containing multiple data centers. Regions help you deploy resources in specific geographic locations to meet data residency and latency requirements.
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Zones: Zones are isolated data centers within regions. They provide high availability and redundancy for GCP resources.
2. Compute Engine
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Compute Engine: Compute Engine is GCP's Infrastructure-as-a-Service (IaaS) offering. It allows you to create and manage virtual machine instances, known as Compute Engine instances, in the cloud.
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Predefined and Custom Machine Types: You can choose from predefined machine types or create custom machine types with specific CPU and memory configurations.
3. Google Cloud Storage
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Google Cloud Storage: Google Cloud Storage is an object storage service for storing and retrieving data. It provides highly durable and available storage with various storage classes.
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Buckets: Data is stored in containers called buckets, and objects (files) are stored within buckets.
4. Google Kubernetes Engine (GKE)
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Google Kubernetes Engine (GKE): GKE is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications using Kubernetes.
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Node Pools: GKE allows you to create and manage node pools with different machine types for your Kubernetes clusters.
5. Google Cloud Identity and Access Management (IAM)
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Google Cloud IAM: IAM is GCP's identity and access management service. It allows you to control access to resources by defining roles and permissions for users, groups, and service accounts.
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Service Accounts: Service accounts are used to represent applications and services and can be granted permissions to access resources.
6. Google Cloud Functions
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Google Cloud Functions: Cloud Functions is GCP's serverless compute service. It enables you to run event-driven functions in response to cloud events or HTTP requests without managing servers.
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Triggers: Functions can be triggered by events from various GCP services or by HTTP requests.
7. Google Cloud Pub/Sub
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Google Cloud Pub/Sub: Pub/Sub is a messaging service that allows you to asynchronously send and receive messages between independent applications.
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Topics and Subscriptions: Messages are organized into topics, and subscribers receive messages from subscriptions to these topics.
8. Google Cloud BigQuery
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Google Cloud BigQuery: BigQuery is a fully managed, serverless, and highly scalable data warehouse. It allows you to analyze large datasets using SQL queries.
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Data Integration: BigQuery integrates with various data sources for data ingestion and analytics.
9. Google Cloud AI and Machine Learning
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Google Cloud AI and Machine Learning: GCP provides a suite of artificial intelligence (AI) and machine learning (ML) services, including AutoML for custom model development and AI Platform for ML model deployment.
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Vision, Speech, and Natural Language APIs: GCP offers APIs for computer vision, speech recognition, and natural language processing.
10. Google Cloud Firestore
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Google Cloud Firestore: Firestore is a NoSQL document database for building scalable, web, and mobile applications. It provides real-time synchronization and automatic scaling.
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Collections and Documents: Data in Firestore is organized into collections, which contain documents with structured data.
11. Google Cloud VPC (Virtual Private Cloud)
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Google Cloud VPC: VPC is a global, private network that lets you securely connect GCP resources. It provides isolation, segmentation, and control over network traffic.
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Subnets: VPCs can be divided into subnets, which are regional and provide IP address ranges for GCP resources.
12. Google Cloud Load Balancing
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Google Cloud Load Balancing: GCP offers various load balancing solutions, including HTTP(S) Load Balancing, Network Load Balancing, and TCP/SSL Load Balancing. They distribute incoming traffic to backend instances or services for high availability.
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Global Load Balancers: Google's global load balancers distribute traffic across multiple regions for redundancy and low-latency access.
13. Google Cloud Spanner
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Google Cloud Spanner: Spanner is a globally distributed, horizontally scalable, and strongly consistent database service. It combines the benefits of traditional relational databases with the scalability of NoSQL databases.
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TrueTime: Spanner uses Google's TrueTime technology for global clock synchronization.
14. Google Cloud Functions for Firebase
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Google Cloud Functions for Firebase: Firebase extends Cloud Functions by offering serverless backend capabilities for mobile and web app development. It includes features like Firestore, Authentication, and Realtime Database.
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Authentication Triggers: Firebase Authentication Triggers allow you to run code in response to user authentication events.
15. Google Cloud Composer
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Google Cloud Composer: Composer is a managed workflow orchestration service built on Apache Airflow. It allows you to automate, schedule, and monitor workflows and data pipelines.
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DAGs (Directed Acyclic Graphs): Workflows in Composer are defined as DAGs, making it easy to create complex data workflows.
16. Google Cloud Identity Platform
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Google Cloud Identity Platform: Identity Platform is a comprehensive identity and access management solution for apps and services. It provides features like authentication, multi-factor authentication (MFA), and user management.
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Customizable UI: Identity Platform offers customizable user interfaces for login and registration.
17. Google Cloud Security Command Center
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Google Cloud Security Command Center: Security Command Center is a security and risk management platform that helps you identify, analyze, and mitigate security threats in your GCP resources.
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Vulnerability Scanning: It includes vulnerability scanning for GCP assets.
18. Google Cloud AutoML
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Google Cloud AutoML: AutoML is a suite of machine learning products that enables developers with limited ML expertise to build custom machine learning models for specific use cases.
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AutoML Vision, Natural Language, and Tables: AutoML offers specialized tools for image classification, natural language understanding, and structured data analysis.
19. Google Cloud Storage Classes
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Google Cloud Storage Classes: Google Cloud Storage provides different storage classes, including Standard, Nearline, Coldline, and Archive, to optimize storage costs and access frequency.
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Data Lifecycle Management: You can set up policies for data lifecycle management, which automatically transition data between storage classes.
20. Google Cloud Dataflow
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Google Cloud Dataflow: Dataflow is a fully managed stream and batch data processing service. It allows you to develop data pipelines for ETL (Extract, Transform, Load) and real-time data analytics.
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Apache Beam: Dataflow is based on the Apache Beam open-source project.
These advanced concepts and services in Google Cloud Platform expand its capabilities for building scalable, secure, and data-driven cloud solutions.
2. Basic Commands
These are only basic commands for more you can consider https://cloud.google.com/docs
1. Login to GCP Account:
gcloud auth login
2. Set Project: (arduino)
gcloud config set project PROJECT_ID
3. List Projects:
gcloud projects list
4. Create a New VM Instance:
gcloud compute instances create INSTANCE_NAME --machine-type MACHINE_TYPE --image IMAGE
5. SSH into a VM Instance:
gcloud compute ssh INSTANCE_NAME
6. List VM Instances:
gcloud compute instances list
7. Create a Cloud Storage Bucket:
gsutil mb -p PROJECT_ID gs://BUCKET_NAME/
8. Upload a File to Cloud Storage:
gsutil cp FILE_PATH gs://BUCKET_NAME/
9. List Files in Cloud Storage Bucket:
gsutil ls gs://BUCKET_NAME/
10. Create a Pub/Sub Topic:
gcloud pubsub topics create TOPIC_NAME
11. Publish a Message to Pub/Sub Topic:
gcloud pubsub topics publish TOPIC_NAME --message "MESSAGE"
12. Create a Cloud SQL Instance (MySQL):
gcloud sql instances create INSTANCE_NAME --database-version=MYSQL_5_7 --tier=db-n1-standard-1
13. List Cloud SQL Instances:
gcloud sql instances list
14. Deploy App Engine Application:
gcloud app deploy app.yaml
15. List App Engine Services:
gcloud app services list
16. Create a Kubernetes Cluster:
gcloud container clusters create CLUSTER_NAME --num-nodes=1 --zone=COMPUTE_ZONE
17. List Kubernetes Clusters:
gcloud container clusters list
As said you can always official documentation for more commands and concepts https://cloud.google.com/docs