Google Cloud Platform

Google Cloud Platform Logo

                                              ~ From internet

Google Cloud Platform (GCP) offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics, and machine learning.

~ from Wikipedia

Google Cloud Platform Offerings: 

• Compute
• Bare Metal
• Infrastructure to run the specialized workload on Google Cloud
• Compute Engine / VM Instance
• Virtual Machines running in Google's data center 
• App Engine
• Serverless Application platform for apps and backends 
• Use: Web Application Platform
• Fully Managed, Just code required
• 2 Modes
• Standard 
• Limited Language Support 
• Specific version for libraries and environment only
• Scales to zero nodes, for no incoming traffic 
• Flexible 
• Custom Environment for development 
• Need to provide container run time Configuration 
• Can't scale to zero running nodes
• Google Kubernetes Engine
• Managed environment for running containerized apps 
• Based on Kubernetes, container orchestration service 
• 2 Modes
• Manual
• Auto Pilot
• No Configurations Required 
• Cloud Run
• Fully managed environment for running containerized apps 
• Cloud Function
• Serverless service to run functions
• Event-Driven service 
• Can trigger a function on some event 
• Preemptible VMs 
• Cost-saving VM for stateless computing 
• Limited time access 
• Spot VMs
• Compute instances for batch jobs and fault-tolerant workloads 
• Used for batch Processing 
• Fault Tolerance workload 
• Saves up to 91% of costs 
• for Stateless Containers 
• Shielded VMs 
• Booting level Security 
• Instance Group 
• Uses Load Balancer
• 2 Modes 
• Managed Instance Groups
• Auto Scaling Feature 
• Unmanaged Instance Groups
• No auto-scaling 
• VMware Engine
• Migrate and run on-premises VMware workloads natively on Google Cloud 
• Storage Classes 
• Standard
• Frequent Retrieval and Easy Storage 
• Free Access i.e. No Access Cost 
• Efficient Storage Cost 
• Nearline 
• Retrieval once a month 
• Saves Cost 
• Less Storage Cost 
• But Higher Access Cost than Standard 
• Coldline 
• Retrieval once a Quarter
• Very Less Storage Cost 
• But Higher Access Cost than Nearline 
• Archive 
• Used for data retrieved once a year 
• Very very Low Storage Cost 
• But Higher Access costs than Coldline 
• Storage
• Cloud Storage
• Object storage that is secure, durable, and scalable 
• Used as Data lake 
• Stores Unstructured, Semi-structured data also
• Filestore
• File Storage that is highly scalable and secure 
• Used as a directory for remote computing 
• Local SSD
• Block storage that is locally attached for higher-performance needs 
• Persistent Disks
• Block storage for VMs running on cloud
• Used to retains Storage even after VM is stopped 
• Can attach to a single VM instance at a time 
• Database
• Bare Metal 
• Infrastructure to run specialized  workloads on cloud 
• Cloud SQL
• Fully-managed database for MySQL, PostgreSQL, and SQL Server
• Supports Relational databases 
• Efficiently stores and processes around 10TB of data 
• Cloud Spanner
• Cloud-native relational database with unlimited scale and 99.999% availability 
• Horizontally highly scalable 
• Consistent Transactions 
• Distributed data & processing on a cluster 
• Big Table
• Cloud-native wide-column database for large-scale low-latency workloads 
• No-SQL Database 
• Very Very low latency for I/O operations 
• Wide Columns storage 
• 4D database 
• Based on HBase 
• Firestore 
• Cloud-native document database for building rich mobile, web, and IoT apps
• Auto sync feature 
• Used as mobile apps database 
• Firebase Realtime DB
• NoSQL database for storing and syncing data in realtime 
• Memorystore
• In-memory database for managed Redis and Memcached 
• Used for leaderboard
• Analytics
• Big Query
• Data warehouse for agility and insights 
• Can process Petabytes of data
• Used as DataWarehouse 
• Serverless and cost-effective 
• 2 Types of data storage 
• Active 
• Passive 
• 2 Modes of usage 
• Slot Based
• On-Demand 
• Flagship Product  
• Dataproc
• Service for running Apache Spark and Apache Hadoop clusters 
• fully managed Hadoop service 
• Used for ELT and Spark 
• Data lake modernization tool 
• rapid cluster creating 
• Lift and Shift 
• Dataflow
• Streaming analytics  for stream and batch processing 
• Fully managed service for data processing 
• Serverless and cost-effective 
• Based on Apache Beam 
• Unified Stream and Batch Data processing 
• Uses coding to create a pipeline 
• Data Fusion 
• Data ingestion for building and managing data pipelines 
• Used to create Data Pipelines without coding 
• Visual representation for pipeline  
• Dataprep
• Service to prepare data for analytics and machine learning 
• Used for Transforming data before Loading 
• GCP Cloud Composer 
• Workflow orchestration service built on Apache Airflow 
• Used for an end to end Pipelining 
• Airflow as service 
• Data Catalog
• Metadata service for exploring and managing data 
• Dataplex 
• Intelligent data management across distributed data silos 
• Business Intelligence 
• Looker 
• Platform for BI, data application, and embedded analytics 
• Increases productivity, decision making by delivering more insight to more users 
• Embedded Analysis Product 
• Data Ingestion 
• Pub/Sub 
• Managed service for event ingestion and delivery 
• Async Messaging service 
• Global routing available 
• based on Apache Kafka
• IoT Core
• used to capture data from IoT Devices 
• Networking
• Cloud Armor
• Security policies and defense against web and DDoS attacks 
• Cloud CDN
• Content delivery network for serving web and video content 
• Cloud Domain 
• Easy domain name registration and management 
• Cloud DNS
• Domain name system for reliable and low-latency name lookups 
• Cloud IDS
• Cloud IDS (Cloud Intrusion Detection System) provides cloud-native network threat detection with industry-leading security 
• Cloud Load Balancing 
• Service for distributing traffic across applications and regions 
• Virtual Private Cloud (VPC)
• Virtual network for cloud resources and cloud-based services 
• Connecting On-premises with GCP
• Cloud VPN
• Secured, Encrypted connection for on-premises 
• Up to 3Gbps using IPsec
• Cloud Interconnect 
• Partner Interconnect 
• 50Mbps to 10 Gbps 
• Dedicated Interconnect 
• 10-100Gbps 
• Need to Co-located with Google 
• Peering with Google 
• Used for cutting egress fees 
• Access Google's Public services/ Suite on a scale
• 2 Types
• Direct Peering 
• Carrier Peering 
• NAT Gateway
• NAT service for giving private instances internet access 
• Network Intelligence Center
• Network monitoring, verification, and optimization platform
• DevOps CI/CD
• Monitoring
• Cloud Monitoring
• One look window for infrastructure and application health with rich metrics 
• Cloud Logging
• Cloud audit, platform, and application logs management 
• Cloud Debugger
• Realtime application state inspection and in-production debugging 
• Cloud Profiler
• CPU and heap profiler for analyzing application performance 
• Cloud Trace 
• Tracing system collecting latency data from applications 
• Cloud Error Reporting
• Realtime exception monitoring and alerting 
• AI/ML
• Vision API
• Image Analysis 
• Natural Language 
• Uses NLP
• Recommendation API
• Used for customer recommendation system
• Translation API
• Translated text from one language to another 
• Speech to Text 
• Converts speech to text
• Video Intelligence  
• Used for 
• Video Analysis 
• Live feed Analysis 
• Can detect dangerous behavior in live Video Streaming 
• More to come...