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Medium-res PNG
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Desktop Wallpapers: 16:9 (iMac, etc.) | 16:10 (Macbook Pro) | 4:3 (Older computers) | 3:2 (Pixelbook)
Text descriptions with links are below
Suggestions for better descriptions? Missing products? Pull requests are welcome on README.md (this file).
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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 🔗 📄
- 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:
- Podcasts:
- Reddit:
- 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:📄
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>