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^{🔗-Product page 📄-Documentation}

• App Engine: Managed app platform ^{🔗 📄}
• Cloud Functions: Event-driven serverless functions ^{🔗 📄}
• Cloud Run 🆕: Serverless for containerized applications ^{🔗 📄}
• Compute Engine: VMs, GPUs, TPUs, Disks ^{🔗 📄}
• Kubernetes Engine (GKE): Managed Kubernetes/containers ^{🔗 📄}
• Anthos 🆕: Enterprise hybrid/multi-cloud platform ^{🔗 📄}

• Cloud Storage: Object storage and serving ^{🔗 📄}
• Nearline: Archival occasional access storage ^{🔗 📄}
• Coldline: Archival rare access storage ^{🔗 📄}
• Persistent Disk: VM-attached disks ^{🔗 📄}
• Cloud Filestore: Managed NFS server ^{🔗 📄}

• Cloud Bigtable: Petabyte-scale, low-latency, non-relational ^{🔗 📄}
• Cloud Datastore: Horizontally scalable document DB ^{🔗 📄}
• Cloud Firestore: Strongly-consistent serverless document DB ^{🔗 📄}
• Cloud Memorystore: Managed Redis ^{🔗 📄}
• Cloud Spanner: Horizontally scalable relational DB ^{🔗 📄}
• Cloud SQL: Managed MySQL and PostgreSQL ^{🔗 📄}

• BigQuery: Data warehouse/analytics ^{🔗 📄}
• BigQuery BI Engine 🆕: In-memory analytics engine ^📄
• BigQuery ML 🆕: BigQuery model training/serving ^📄
• Cloud Composer: Managed workflow orchestration service ^{🔗 📄}
• Cloud Data Fusion 🆕: Graphically manage data pipelines ^{🔗 📄}
• Cloud Dataflow: Stream/batch data processing ^{🔗 📄}
• Cloud Datalab: Managed Jupyter notebook ^{🔗 📄}
• Cloud Dataprep: Visual data wrangling ^{🔗 📄}
• Cloud Dataproc: Managed Spark and Hadoop ^{🔗 📄}
• Cloud Pub/Sub: Global real-time messaging ^{🔗 📄}
• Data Catalog 🆕: Metadata management service ^{🔗 📄}
• Data Studio: Collaborative data exploration/dashboarding ^{🔗 📄}
• Genomics: Managed genomics platform ^{🔗 📄}

• AI Hub 🆕: Hosted AI component sharing ^{🔗 📄}
• AI Platform: Managed platform for ML ^{🔗 📄}
• AI Platform Data Labeling 🆕: Data labeling by humans ^📄
• AI Platform Deep Learning VMs: Preconfigured VMs for deep learning ^{🔗 📄}
• AI Platform Notebooks 🆕: Managed JupyterLab notebook instances ^🔗📄
• AI Platform Training 🆕: Parallel and distributed training ^📄
• AI Platform Predictions 🆕: Autoscaled model serving ^📄
• AutoML Natural Language: Custom text models ^📄
• AutoML Tables 🆕: Custom structured data models ^{🔗 📄}
• AutoML Translation: Custom domain-specific translation ^{🔗 📄}
• AutoML Video Intelligence 🆕: Custom video annotation models ^{🔗 📄}
• AutoML Vision: Custom image models ^{🔗 📄}
• Cloud AI Building Blocks 🆕: Hosted AI component repository ^{🔗 📄}
• Cloud Natural Language API: Text parsing and analysis ^{🔗 📄}
• Cloud Speech-To-Text API: Convert audio to text ^{🔗 📄}
• Cloud Talent Solutions API: Job search with ML ^{🔗 📄}
• Cloud Text-To-Speech API: Convert text to audio ^{🔗 📄}
• Cloud Translation API: Language detection and translation ^{🔗 📄}
• Cloud Video Intelligence API: Scene-level video annotation ^{🔗 📄}
• Cloud Vision API: Image recognition and classification ^{🔗 📄}
• Cloud TPU: Hardware acceleration for ML ^{🔗 📄}
• Dialogflow Enterprise Edition: Create conversational interfaces ^{🔗 📄}
• Document Understanding AI 🆕: Analyze, classify, search documents ^{🔗 📄}
• Recommendations AI 🆕: Create custom recommendations ^{🔗 📄}
• Vision Product Search 🆕: Visual search for products ^📄

• Carrier Peering: Peer through a carrier ^📄
• Direct Peering: Peer with GCP ^📄
• Dedicated Interconnect: Dedicated private network connection ^📄
• Partner Interconnect: Connect on-prem network to VPC ^📄
• Cloud Armor: DDoS protection and WAF ^{🔗 📄}
• Cloud CDN: Content delivery network ^{🔗 📄}
• Cloud DNS: Programmable DNS serving ^{🔗 📄}
• Cloud Load Balancing: Multi-region load distribution ^{🔗 📄}
• Cloud NAT: Network address translation service ^📄
• Cloud Router 🆕: VPC/on-prem network route exchange (BGP) ^📄
• IPsec VPN: Virtual private network connection ^📄
• Network Service Tiers: Price vs performance tiering ^{🔗 📄}
• Network Telemetry: Network telemetry service ^{🔗 📄}
• Traffic Director 🆕: Service mesh traffic management ^{🔗 📄}
• Google Cloud Service Mesh 🆕: Service-aware network management ^{🔗 📄}
• Virtual Private Cloud: Software defined networking ^{🔗 📄}

• Cloud IoT Core: Device management and ingest data ^{🔗 📄}

• Access Transparency: Audit cloud provider access ^{🔗 📄}
• Binary Authorization: Kubernetes deploy-time security ^{🔗 📄}
• Cloud Audit Logs 🆕: Audit trails for GCP ^{🔗 📄}
• Cloud Data Loss Prevention API: Classify and redact sensitive data ^{🔗 📄}
• Cloud HSM: Hardware security module service ^{🔗 📄}
• Cloud IAM: Resource access control ^{🔗 📄}
• Cloud Identity: Manage users, devices & apps ^{🔗 📄}
• Cloud Identity-Aware Proxy: Identity-based app sign in ^{🔗 📄}
• Cloud Key Management Service: Hosted key management service ^{🔗 📄}
• Cloud Resource Manager: Cloud project metadata management ^{🔗 📄}
• Cloud Security Scanner: App engine security scanner ^{🔗 📄}
• Cloud Security Command Center: Asset inventory, discovery, search, management ^{🔗 📄}
• Context-aware Access 🆕: End-user attribute-based access control ^{🔗 📄}
• Event Threat Detection 🆕: Scans for suspicious activity ^🔗
• Managed Service for Microsoft Active Directory 🆕: Managed Microsoft Active Directory ^{🔗 📄}
• Security Key Enforcement: Two-step key verification ^🔗
• Shielded VMs: Hardened VMs ^{🔗 📄}
• Titan Security Key: Two-factor authentication (2FA) device ^🔗
• VPC Service Controls 🆕: VPC constrain data ^{🔗 📄}

• Cloud APIs: APIs for cloud services ^{🔗 📄}
• Cloud Billing: Billing and cost management tools ^{🔗 📄}
• Cloud Billing API: Programmatically manage GCP billing ^📄
• Cloud Console: Web-based management console ^🔗
• Cloud Deployment Manager: Templated infrastructure deployment ^{🔗 📄}
• Cloud Mobile App: iOS/Android GCP manager app ^🔗
• Cloud Shell: Browser-based terminal/CLI ^{🔗 📄}
• Stackdriver Debugger: Live production debugging ^{🔗 📄}
• Stackdriver Error Reporting: App error reporting ^{🔗 📄}
• Stackdriver Logging: Centralized logging ^{🔗 📄}
• Stackdriver Monitoring: Infrastructure and application monitoring ^{🔗 📄}
• Stackdriver Profiler: CPU and heap profiling ^{🔗 📄}
• Stackdriver Transparent SLIs: Monitor GCP services ^{🔗 📄}
• Stackdriver Trace: App performance insights ^{🔗 📄}

• Cloud SDK: CLI for GCP ^{🔗 📄}
• Cloud Build: Continuous integration/delivery platform ^{🔗 📄}
• Cloud Code 🆕: Cloud native IDE extensions ^{🔗 📄}
• Cloud Source Repositories: Hosted private git repos ^{🔗 📄}
• Cloud Scheduler: Managed cron job service ^{🔗 📄}
• Cloud Tasks 🆕: Asynchronous task execution ^{🔗 📄}
• Cloud Tools for IntelliJ: IntelliJ GCP tools ^🔗
• Cloud Tools for PowerShell: PowerShell GCP tools ^🔗
• Cloud Tools for Visual Studio: Visual Studio GCP tools ^🔗
• Cloud Tools for Eclipse: Eclipse GCP tools ^🔗
• Container Registry: Private container registry/storage ^{🔗 📄}
• Gradle App Engine Plugin: Gradle App Engine plugin ^🔗
• Maven App Engine Plugin: Maven App Engine plugin ^🔗

• Cloud Data Transfer: Data migration tools/CLI ^🔗
• Google Transfer Appliance: Rentable data transport box ^{🔗 📄}
• Cloud Storage Transfer Service: Cloud to cloud transfers ^📄
• BigQuery Data Transfer Service: Bulk import analytics data ^{🔗 📄}
• Migrate from Amazon Redshift 🆕: Migrate from Redshift to BigQuery ^🔗
• Migrate from Teradata 🆕: Migrate from Teradata to BigQuery ^🔗
• Migrate for Anthos 🆕: Migrate VMs to GKE containers ^{🔗 📄}
• Migrate for Compute Engine: Compute Engine migration tools ^{🔗 📄}
• VM Migration: VM migration tools ^🔗

• API Analytics: API metrics ^🔗
• API Monetization: Monetize APIs ^🔗
• Apigee API Platform: Develop, secure, monitor APIs ^🔗
• Apigee Sense: API protection from attacks ^🔗
• Apigee Hybrid 🆕: Manage hybrid/multi-cloud API environments ^🔗📄
• Cloud Endpoints: Cloud API gateway ^🔗
• Cloud Healthcare API: Healthcare system GCP interoperability ^🔗
• Developer Portal: API management portal ^🔗
• GCP Marketplace: Partner & open source marketplace ^🔗

• Directions API: Get directions between locations ^🔗
• Distance Matrix API: Calculate travel times ^🔗
• Geocoding API: Convert address to/from coordinates ^🔗
• Geolocation API: Derive location without GPS ^🔗
• Maps Embed API: Web embedded maps ^🔗
• Maps JavaScript API: Dynamic web maps ^🔗
• Maps SDK for Android: Maps SDK for Android ^🔗
• Maps SDK for iOS: Maps SDK for iOS ^🔗
• Maps Static API: Web static maps ^🔗
• Maps Unity SDK: Unity SDK for games ^🔗
• Maps URLs: URL scheme for maps ^🔗
• Places API: Metadata about places (REST) ^🔗
• Places Library, Maps JS API: Metadata about places (JavaScript) ^🔗
• Places SDK for Android: Places SDK for Android ^🔗
• Places SDK for iOS: Places SDK for iOS ^🔗
• Roads API: Metadata about roads ^🔗
• Street View Static API: Static street view images ^🔗
• Street View Service: Interactive street view images" ^🔗
• Time Zone API: Convert coordinates to timezone ^🔗

• App Maker: Assistive app building ^🔗
• Apps Script: Extend and automate everything ^🔗
• Editor Add-ons: Extend Docs, Sheets, Slides ^🔗
• Gmail Add-ons: Contextual apps in Gmail ^🔗
• Hangouts Chat Bots: Conversational bots in chat ^🔗
• Calendar API: Create and manage calendars ^🔗
• Classroom API: Provision and manage classrooms ^🔗
• Docs API: Create and edit documents ^🔗
• Drive API: Read and write files ^🔗
• Gmail API: Enhance Gmail ^🔗
• Sheets API: Read and write spreadsheets ^🔗
• Slides API: Create and edit presentations ^🔗
• Drive Picker: Drive file selection widget ^🔗
• Cloud Search: Unified search for enterprise ^🔗
• Admin SDK: Manage G Suite resources ^🔗
• Email Markup: Interactive email using schema.org ^🔗
• G Suite Marketplace: Storefront for integrated applications ^🔗
• Other G Suite APIs/SDKs: Contacts, Google+, Tasks, Vault... ^🔗

• Cloud Firestore: Document store and sync ^🔗
• Cloud Functions for Firebase: Event-driven serverless applications ^🔗
• Cloud Storage for Firebase: Object storage and serving ^🔗
• Crashlytics: Crash reporting and analytics ^🔗
• Firebase A/B Testing: Create A/B test experiments ^🔗
• Firebase App Indexing: App/Google search integration ^🔗
• Firebase Authentication: Drop-in authentication ^🔗
• Firebase Cloud Messaging: Send device notifications ^🔗
• Firebase Dynamic Links: Link to app content ^🔗
• Firebase Hosting: Web hosting with CDN/SSL ^🔗
• Firebase In-App Messaging: Send in-app contextual messages ^🔗
• Firebase Performance Monitoring: App performance monitoring ^🔗
• Firebase Predictions: Predict user targeting ^🔗
• Firebase Realtime Database: Real-time data synchronization ^🔗
• Firebase Remote Config: Remotely configure installed apps ^🔗
• Firebase Test Lab: Mobile testing device farm ^🔗
• Google Analytics for Firebase: Mobile app analytics ^🔗
• ML Kit for Firebase: ML APIs for mobile ^🔗

• Apache Beam: Batch/streaming data processing ^🔗
• gRPC: RPC framework ^🔗
• gVisor: Secure container runtime ^🔗
• Istio: Connect and secure services ^🔗
• Knative: Serverless framework for Kubernetes ^🔗
• Kubeflow: ML toolkit for Kubernetes ^🔗
• Kubernetes: Management of containerized applications ^🔗
• OpenCensus: Cloud native observability framework ^🔗
• TensorFlow: ML framework ^🔗

• Google Cloud Home Page: ^🔗
• Google Cloud Blog: ^🔗
• GCP Medium Publication: ^🔗
• Apigee Blog: ^🔗
• Firebase Blog: ^🔗
• G Suite Developers Blog: ^🔗
• Google Cloud Certifications: ^🔗
• Google Cloud System Status: ^🔗
• Google Cloud Training: ^🔗
• Google Developers Blog: ^🔗
• Google Maps Platform Blog: ^🔗
• Google Open Source Blog: ^🔗
• Google Security Blog: ^🔗
• Kaggle Home Page: ^🔗
• Kubernetes Blog: ^🔗
• Regions and Network Map: ^🔗

• Google Cloud Solutions Library:^🔗
• Google Cloud Support Hub:^🔗
• GCP Pricing: ^🔗
• GCP Pricing Calculator: ^🔗
• Qwiklabs Home Page:^🔗
• Codelabs Home Page:^🔗
• YouTube Channels:
  • Google Cloud YouTube Channel:^🔗
  • GCP YouTube Channel:^🔗
  • Google Developer's YouTube Channel:^🔗
  • Firebase YouTube Channel:^🔗
• Podcasts:
  • GCP Podcast:^🔗
  • Kubernetes Podcast:^🔗
• Reddit:
  • /r/googlecloud: ^🔗
  • /r/AppEngine: ^🔗
  • /r/bigquery: ^🔗
  • /r/dataflow: ^🔗
  • /r/firebase: ^🔗

• Google Cloud Platform for AWS Professionals:^📄
• Google Cloud Platform for Azure Professionals:^📄
• Google Cloud Platform for Data Center Professionals:^📄
• Google Cloud Platform for OpenStack Users:^📄

• Java:^📄
• Node.js:^📄
• Python:^📄
• Go:^📄
• Ruby:^📄
• PHP:^📄
• .NET/C#:^📄

  Set default region/zone

  gcloud config set compute/region us-central1

  gcloud config set compute/zone us-central1-a

  gcloud services enable container.googleapis.com

  gcloud services enable containerregistry.googleapis.com

git clone https://github.com/linuxacademy/content-gc-essentials

cd content-gc-essentials/gke-lab-01

docker build -t gcr.io/$DEVSHELL_PROJECT_ID/hello-la:v1 .

Note: the period at the end is required to build it at this location

Check status of images to ensure success

Authenticate gcloud as a Docker credential helper

gcloud auth configure-docker

Push Docker container into Container Registry

Create Kubernetes Engine Cluster (Nodes) named 'hello-cluster'

gcloud container clusters create hello-cluster --num-nodes=2

Authenticate kubectl to point to the cluster we just made (already done for last created cluster)

  gcloud container clusters get-credentials hello-cluster

  Deploy your app ("deploy and run it") - listen on port 80

  kubectl run hello-la --image=gcr.io/$DEVSHELL_PROJECT_ID/hello-la:v1 --port 80

  kubectl get pods

  Create load balancer and expose application to the Internet on port 80

  kubectl expose deployment hello-la --type=LoadBalancer --port 80 --target-port 80

  kubectl get service

  kubectl scale deployment hello-la --replicas=3

On second thought, let's just autoscale our application instead....

  kubectl autoscale deployment hello-la --max 6 --min 4 --cpu-percent 50

  gcloud container clusters resize hello-cluster --size 3

On second thought (again), let's also enable autoscaling for our cluster

  gcloud container clusters update hello-cluster --enable-autoscaling --min-nodes 2 --max-nodes 8

Make changes to source code, then build as Docker file as VERSION 2

  docker build -t gcr.io/$DEVSHELL_PROJECT_ID/hello-la:v2 .

Push to Container Registry, also as version 2

  docker push gcr.io/$DEVSHELL_PROJECT_ID/hello-la:v2

Update our website - Apply rolling update to deployment with image update

  kubectl set image deployment/hello-la hello-la=gcr.io/$DEVSHELL_PROJECT_ID/hello-la:v2

Get log info

Logs are written to pods, by default also written to Stackdriver Logging

  kubectl logs (POD_ID)

Other commands/scenarios

  gcloud containers clusters upgrade (cluster_name)

You can capture and save your date on S3 and also Bigquery where you can also do some analytics if you want.

SELECT *  
FROM `cloud-training-prod-bucket.arch_infra.billing_data`

SELECT *  
FROM `cloud-training-prod-bucket.arch_infra.billing_data`
ORDER BY cost DESC

 SELECT product, resource_type, start_time, end_time,  
 cost, project_id, project_name, project_labels_key, currency, currency_conversion_rate,
 usage_amount, usage_unit
 FROM `cloud-training-prod-bucket.arch_infra.billing_data`
 WHERE (cost > 3)  

note here "3" is cost

SELECT product, COUNT(*)
FROM `cloud-training-prod-bucket.arch_infra.billing_data`
GROUP BY product
LIMIT 200

SELECT product, cost, COUNT(*)
FROM `cloud-training-prod-bucket.arch_infra.billing_data`
WHERE (cost > 1)
GROUP BY cost, product
LIMIT 200

    gsutil iam ch user:(user_email):(role1,role2) gs://(BUCKET)

    gsutil iam ch -d user:(user_email):(role1,role2) gs://(BUCKET)

    gsutil iam ch -d user:(user_email) gs://(BUCKET)

    gsutil acl ch -u (user_email):(O/R/W) gs://(BUCKET)

    gsutil acl ch -d (user_email) gs://(BUCKET)

Create service account with key

    Upload to cloud shell (or add to current CLI environment)
    gsutil signurl -d (time_period (10m)) (keyfile.json) gs://(BUCKET)/(object)

    gsutil versioning get gs://<BUCKET>

    gsutil versioning set on gs://<BUCKET>

    gsutil ls -a gs://<BUCKET>

    gsutil lifecycle get gs://<BUCKET> > filename.json

    gsutil lifecycle set filename.json gs://<BUCKET>

gcloud compute disks create <DISK_NAME> --type=<DISK_TYPE> --size=<SIZE> --zone=<ZONE>

gcloud compute disks resize <disk_name> --size=<size> --zone=<zone>

gcloud compute instances attach-disk <instance> --disk=<disk_name> --zone=<zone>

sudo lsblk

sudo mkfs.ext4 -m 0 -F -E lazy_itable_init=0,lazy_journal_init=0,discard /dev/sdb

sudo mkdir -p /mnt/disks/disk2

sudo mount -o discard,defaults /dev/sdb /mnt/disks/disk2

sudo chmod a+w /mnt/disks/
Resize existing Linux disk

sudo lsblk

sudo growpart /dev/sda 1

sudo resize2fs /dev/sda1

df -h 

gcloud compute images create <image_name> --source-disk <disk_name> --source-disk-zone <zone> --family <image_family>

gcloud compute images describe-from-family <image_family>

gcloud compute images deprecate <image_name> --state <STATE>

gcloud compute images delete <image_name>