Google Cloud Platform

Google Cloud Platform (GCP) :

Compute Engine:

Compute Engine is Google Cloud's Infrastructure-as-a-Service (IaaS) offering, allowing users to run virtual machines (VMs) on Google's infrastructure. Developers can deploy and manage VM instances to run applications and workloads.

App Engine:

App Engine is a Platform-as-a-Service (PaaS) offering that enables developers to build and deploy scalable web applications and APIs without managing underlying infrastructure. It supports multiple programming languages, including Java, Python, Go, and more.

Kubernetes:

Kubernetes is an open-source container orchestration platform originally developed by Google. It automates deployment, scaling, and management of containerized applications. GCP provides Kubernetes Engine, a managed Kubernetes service, for deploying and managing Kubernetes clusters.

Cloud Functions:

Cloud Functions is a serverless compute service that allows developers to run event-driven code in response to triggers without managing servers. Developers can write functions in languages like JavaScript, Python, or Go and deploy them to Cloud Functions, which automatically scales based on demand.

BigQuery:

BigQuery is a fully managed, serverless data warehouse and analytics platform on GCP. It allows developers to analyze massive datasets using SQL queries with high performance and scalability. BigQuery is commonly used for business intelligence, data analytics, and machine learning tasks.

Cloud Storage:

Cloud Storage is an object storage service that allows developers to store and retrieve data on Google Cloud infrastructure. It provides scalable, durable, and highly available storage for various use cases, including backup and recovery, multimedia content storage, and data archiving.

Cloud Pub/Sub:

Cloud Pub/Sub is a messaging service that enables developers to build event-driven systems and real-time analytics pipelines. It provides reliable, scalable, and globally distributed messaging infrastructure for decoupling and connecting microservices and applications.

Cloud Firestore / Cloud Datastore:

Cloud Firestore and Cloud Datastore are NoSQL document databases provided by Google Cloud. They are used for storing and syncing data across mobile, web, and server applications. Cloud Firestore is a flexible, scalable database suitable for real-time applications, while Cloud Datastore is well-suited for traditional web applications.

Cloud AI / Machine Learning:

Google Cloud offers a suite of machine learning services and APIs for building and deploying AI-powered applications. This includes services like AutoML for custom machine learning models, AI Platform for training and deploying ML models, and pre-trained APIs for tasks like vision, speech, and natural language processing.

Cloud Identity and Access Management (IAM):