GOOGLE CLOUD NEXT TOKYO 24, EXHIBITION IN JAPAN

Google Cloud, officially known as Google Cloud Platform (GCP), is a suite of cloud computing services provided by Google. It offers a range of services, including computing power, storage solutions, machine learning, and big data analysis, aimed at helping businesses and developers build, deploy, and scale applications and websites. GCP competes with other major cloud providers like Amazon Web Services (AWS) and Microsoft Azure.
History
- **2008**: Google Cloud Platform's roots can be traced back to Google App Engine, a platform-as-a-service (PaaS) offering that allows developers to build and host web applications on Google's infrastructure. App Engine was launched in April 2008 as a preview release and became generally available in November 2011.
- **2011**: Google introduced Google Cloud Storage, a scalable and durable object storage service for storing large amounts of unstructured data. This marked the beginning of a broader set of services beyond just application hosting.
- **2012**: Google officially branded its cloud services under the Google Cloud Platform name. This included the introduction of Google Compute Engine, which provides virtual machines that run on Google's infrastructure.
- **2014**: Google launched Google Kubernetes Engine (GKE), a managed environment for deploying, managing, and scaling containerized applications using Kubernetes, an open-source system initially developed by Google for automating the deployment and management of containerized applications.
- **2016**: Google made significant strides in machine learning with the introduction of TensorFlow, an open-source machine learning framework. This year also saw the launch of Google Cloud Machine Learning Engine.
Present
Today, Google Cloud Platform has grown to offer a wide array of services across various domains, including:
- **Compute**: Google Compute Engine, Google Kubernetes Engine (GKE), Google Cloud Functions, and Google App Engine.
- **Storage**: Google Cloud Storage, Google Cloud SQL, Google Cloud Spanner, and Google Firestore.
- **Big Data**: BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc.
- **Machine Learning and AI**: TensorFlow, Google Cloud AI Platform, and pre-trained models via Google Cloud Vision, Cloud Speech, and Cloud Translation.
GCP emphasizes security, scalability, and reliability, leveraging Google's global infrastructure, which includes data centers around the world. It is known for its strong capabilities in data analytics and machine learning, making it a preferred choice for businesses looking to harness the power of data-driven insights.
As of now, Google Cloud continues to innovate, adding new services and features to support businesses of all sizes in their digital transformation journeys. It has a growing ecosystem of partners and a large user base, spanning industries such as retail, healthcare, finance, and more.