Compute

App Engine - Platform as a Service to deploy Java, PHP, Node.js, Python, C#,.Net, Ruby and Go applications.

Compute Engine - Infrastructure as a Service to run Microsoft Windows and Linux virtual machines.

Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform - Containers as a Service based on Kubernetes.

Storage & Databases

Cloud Storage - Object storage with integrated edge caching to store unstructured data.

Cloud SQL - Database as a Service based on MySQL, PostgreSQL and Microsoft SQL Server.

Cloud Bigtable - Managed NoSQL database service.

Cloud Spanner - Horizontally scalable, strongly consistent, relational database service. Cloud Datastore - NoSQL database for web and mobile applications.

Networking

Google Cloud Network Topology - External Load Balancer Architecture.png

VPC - Virtual Private Cloud for managing the software defined network of cloud resources. Cloud Load Balancing - Software-defined, managed service for load balancing the traffic. Cloud Armor - Web application firewall to protect workloads from DDoS attacks.

Cloud CDN - Content Delivery Network based on Google’s globally distributed edge points of presence.

Big Data

BigQuery - Scalable, managed enterprise data warehouse for analytics.

Cloud Dataflow - Managed service based on Apache Beam for stream and batch data processing.

Cloud Dataproc - Big data platform for running Apache Hadoop and Apache Spark jobs. Cloud Composer - Managed workflow orchestration service built on Apache Airflow.

Cloud Datalab - Tool for data exploration, analysis, visualization and machine learning. This is a fully managed Jupyter Notebook service.

Cloud AI

Cloud AutoML - Service to train and deploy custom machine learning models. As of September 2018, the service is in Beta.

Cloud TPU - Accelerators used by Google to train machine learning models.

Cloud Machine Learning Engine - Managed service for training and building machine learning models based on mainstream frameworks.

Cloud Natural Language - Text analysis service based on Google Deep Learning models. Cloud Speech-to-Text - Speech to text conversion service based on machine learning.

Cloud Text-to-Speech - Text to speech conversion service based on machine learning.

Management Tools

Operations suite (formerly Stackdriver) - Monitoring, logging, and diagnostics for applications on Google Cloud Platform and AWS.

Cloud Deployment Manager - Tool to deploy Google Cloud Platform resources defined in templates created in YAML, Python or Jinja2.

Cloud Console - Web interface to manage Google Cloud Platform resources.

Identity & Security

Cloud Identity - Single sign-on (SSO) service based on SAML 2.0 and OpenID.

Cloud IAM - Identity & Access Management (IAM) service for defining policies based on role-based access control.

Cloud Identity-Aware Proxy - Service to control access to cloud applications running on Google Cloud Platform without using a VPN.

Cloud Data Loss Prevention API - Service to automatically discover, classify, and redact sensitive data.

IoT

Cloud IoT Core - Secure device connection and management service for Internet of Things.

Edge TPU - Purpose-built ASIC designed to run inference at the edge. As of September 2018, this product is in private beta.

Cloud IoT Edge - Brings AI to the edge computing layer.

API Platform

Maps Platform - APIs for maps, routes, and places based on Google Maps.

Apigee API Platform - Lifecycle management platform to design, secure, deploy, monitor, and scale APIs.

API Monetization - Tool for API providers to create revenue models, reports, payment gateways, and developer portal integrations.

Developer Portal - Self-service platform for developers to publish and manage APIs.

API Analytics - Service to analyse API-driven programs through monitoring, measuring, and managing APIs.

Steps for creating app on Google App Engine

• Step 1: Open cloud.google.com

• Step 2: Click on Console on top right

• Step 3: The Dashboard will look like following

• Step 4: Click over current project next to GCP

• Step 5: Click on New Project

• Step 6: Give some useful name for project and click on create

• Step 7: Now the project is created but still we’ve the old project selected so click on current project next to GCP and select the newly created project

• Step 8: Now the project is select, the interface will look like as below

Step 9: Now we will start App Engine, so just go to on top left and select app engine and click on dashboard or search directly from search box

• Step 10: The interface after clicking App engine is something like below

• Step 11: Click on Create Application and select the region in next slide and click next

• Step 12: Now select the language and click I’ll do this later

• Step 13: Now the App Engine Application has been created

• Step 14: Now click on Activate Cloud Shell previous to help menu, it will open the command shell to work

• Step 15: This is how the shell/terminal will look like

• Step 16: Now create a directory using mkdir command

• Step 17: Click on open editor to open the cloud shell editor (GUI based file manager)

• Step 18: Editor Window is as follows

• Step 19: Now from the file menu we will create a simple java program HelloWorld.java

• Step 20: Now write the basic java program

• Step 21: Open the terminal and run the program and see the output