GOOGLE CLOUD PLATFORM(GCP)

                                                  GOOGLE CLOUD PLATFORM(GCP)

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools.^[.It runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, and Google Docs. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. Google Cloud Platform (GCP) is a cloud computing service by Google that helps businesses, developers, and enterprises run applications, store data, and manage workloads on a secure, scalable, and high-performance infrastructure. Whether you're building a website, handling large datasets, or running AI models, GCP provides the tools and flexibility to do it efficiently. What makes GCP unique is its global network, strong security, deep market presence and seamless integration with other Google services. It offers everything from virtual machines and Kubernetes for containerized applications to data analytics and machine learning tools like BigQuery and TensorFlow. Companies of all sizes use GCP to cut costs, improve performance, and scale their operations without worrying about server management.

Google Cloud Platform Services

Here are some of the services offered by Google Cloud Platform categorized by their functionalities:

Category	Service	Description
Cloud Computing	Compute Engine	Compute Engine lets you create and manage virtual machines, giving you control over the resources you need, like memory, storage, and security settings for your applications. Google Compute Engine is an IaaS component of Google Cloud Platform (GCP). It is built on the global infrastructure that runs Google's Search Engine, Gmail, YouTube, and other Big Services.
	Google Kubernetes Engine (GKE)	GKE is a managed Kubernetes service that helps you deploy applications while automatically handling scaling and load balancing for you. Google Kubernetes Engine is a fully-managed service for running and managing containerized applications on the Google Cloud Platform. GKE is based on Kubernetes, an open-source container orchestration system that allows you to deploy and manage containerized applications at scale. GKE provides a number of features to make it easy to deploy, run, and manage containerized applications on the Google Cloud Platform.
	App Engine	App Engine is a scalable platform for running web applications. It dynamically adjusts to changing demand and provides a secure environment to ensure your app performs well.
Storage	Cloud Storage	Cloud Storage is designed to store large amounts of data that need to be highly available and easily accessed. You can use Google Cloud Storage to store data in Google's cloud. Cloud Storage is typically used to store unstructured data. You can add objects of any kind and size, and up to 5 TB.
	Persistent Disk	Persistent Disk provides durable storage that can be attached to virtual machines and reused when necessary, making it versatile for various use cases.
	Cloud SQL	Cloud SQL is a fully managed database service that supports MySQL, PostgreSQL, and SQL Server, taking the hassle out of database management.
Networking	Virtual Private Cloud (VPC)	With VPC, you can run your applications inside a private network, offering more control and security for your infrastructure.
	Cloud Load Balancing	This service ensures your application traffic is distributed evenly across multiple instances, helping your app stay fast and responsive.
	Cloud CDN	Cloud CDN caches content and delivers it from the closest edge location to users, speeding up delivery and reducing load times.
Data Analytics	BigQuery	BigQuery is a powerful data warehouse that makes analyzing huge amounts of data easy and fast, giving organizations deep insights from their data. BigQuery makes it easy to analyze structured and unstructured data, offering scalable, fast, and secure data processing with minimal setup. It's especially useful for companies in industries like e-commerce, healthcare, and finance, where data-driven decisions can drive significant business growth. With BigQuery, businesses can unlock the power of their data, gain valuable insights, and make informed decisions quickly, all while keeping costs low. As part of Google Cloud, BigQuery integrates seamlessly with other Google Cloud services, such as Google Cloud Storage, Google Analytics, and Google Machine Learning, enabling you to build comprehensive data solutions.
	Dataflow	Dataflow helps you understand how data flows through your system, allowing you to optimize and analyze data processes for better performance.
	Pub/Sub	Pub/Sub is a messaging system that decouples services, allowing them to communicate asynchronously, improving system efficiency and preventing bottlenecks.
Machine Learning	Vertex AI Platform	Vertex AI Platform is Google Cloud's suite for building and managing AI models, helping organizations unlock the potential of AI for business transformation.
	AI Platform Training	AI Platform Training lets you train machine learning models in the cloud, giving you the computing power to handle complex AI tasks.
	AI Platform Prediction	This service allows you to make predictions using your trained machine learning models, helping you apply AI to real-world problems.
Productivity and Collaboration	Google Workspace	Google Workspace includes popular tools like Gmail, Calendar, and Drive, helping teams collaborate seamlessly and stay organized in their daily work.
	Cloud Identity and Access Management (IAM)	IAM allows administrators to control who can access what within an organization, ensuring that only authorized users have the appropriate level of access to resources.