What is Google Cloud Platform?
High-Performance, Scalable VMs
Google Compute Engine delivers virtual machines running in Google's innovative data centers and worldwide fiber network. Compute Engine's tooling and workflow support enable scaling from single instances to global, load-balanced cloud computing.
Compute Engine's VMs boot quickly, come with persistent disk storage, and deliver consistent performance. Our virtual servers are available in many configurations including predefined sizes or the option to create Custom Machine Types optimized for your specific needs. Flexible pricing and automatic sustained use discounts make Compute Engine the leader in price/performance.
Fully managed serverless application platform
Build and deploy applications on a fully managed platform. Scale your applications seamlessly from zero to planet scale without having to worry about managing the underlying infrastructure. With zero server management and zero configuration deployments, developers can focus only on building great applications without the management overhead. App Engine enables developers to stay more productive and agile by supporting popular development languages and a wide range of developer tools.
Containerized Application Management at Scale
Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.
Launched in 2015, Kubernetes Engine builds on Google’s experience of running services like Gmail and YouTube in containers for over 12 years. Kubernetes Engine allows you to get up and running with Kubernetes in no time, by completely eliminating the need to install, manage, and operate your own Kubernetes clusters.
Storage and Databases
Fully-Managed PostgreSQL & MySQL
Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
Unified object storage for developers and enterprises
You may not know right away which of our four classes makes sense for your project. Just get started with one and then it’s painless to switch tiers. As your needs change, Object Lifecycle Management can help you automatically optimize price/performance across classes.
Highly Scalable NoSQL Database
Cloud Datastore is a highly-scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load. Cloud Datastore provides a myriad of capabilities such as ACID transactions, SQL-like queries, indexes and much more.
A fast, highly scalable, cost-effective, and fully managed cloud data warehouse for analytics, with built-in machine learning.
BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Simplified stream and batch data processing, with equal reliability and expressiveness
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.
Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics
Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems. As part of Google Cloud’s stream analytics solution, the service ingests event streams and delivers them to Cloud Dataflow for processing and BigQuery for analysis as a data warehousing solution. Relying on the Cloud Pub/Sub service for delivery of event data frees you to focus on transforming your business and data systems with applications such as:
High performance, scalable load balancing on Google Cloud Platform
Scale your applications on Google Compute Engine from zero to full-throttle with Google Cloud Load Balancing, with no pre-warming needed. Distribute your load-balanced compute resources in single or multiple regions, close to your users and to meet your high availability requirements. Cloud Load Balancing can put your resources behind a single anycast IP and scale your resources up or down with intelligent Autoscaling. Cloud Load Balancing comes in a variety of flavors and is integrated with Google Cloud CDN for optimal application and content delivery.
Low-latency, low-cost content delivery using Google's global network
Google Cloud CDN leverages Google's globally distributed edge points of presence to accelerate content delivery for websites and applications served out of Google Compute Engine and Google Cloud Storage. Cloud CDN lowers network latency, offloads origins, and reduces serving costs. Once you've set up HTTP(S) Load Balancing, simply enable Cloud CDN with a single checkbox.
Train high-quality custom machine learning models with minimum effort and machine learning expertise.
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google’s state-of-the-art transfer learning, and Neural Architecture Search technology.
Dynamically translate between languages.
The Translation API provides a simple programmatic interface for translating an arbitrary string into any supported language using state-of-the-art Neural Machine Translation. It is highly responsive, so websites and applications can integrate with Translation API for fast, dynamic translation of source text from the source language to a target language.
Define dynamic user groups based on predicted behavior.
Firebase Predictions applies machine learning to your analytics data to create dynamic user groups based on your users' predicted behavior. These predictions are automatically available for use with Firebase Remote Config, the Notifications composer, and A/B Testing.