Google Cloud Services

Google Cloud Storage

Google Cloud Storage redefines what the industry can expect from online storage by providing a unified offering across the availability spectrum: from live data tapped by today’s most demanding applications, to cloud archival solutions Nearline and Coldline. Featuring a consistent API, latency, and speed across storage classes, learn why Google’s infrastructure is the best online cloud storage for your most critical data.

Cloud Filestore^BETA

Cloud Filestore is a managed file storage service for applications that require a file system interface and a shared file system for data. Filestore gives our users a simple, native experience for standing up managed Network Attached Storage (NAS) with their Google Compute Engine instances. The ability to tune Filestore's IOPs and capacity independently leads to better and more predictable performance for your file-based workloads.

Cloud SQL

Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational MySQL and PostgreSQL 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.

Cloud Bigtable

Cloud Bigtable provides a massively scalable NoSQL database suitable for low-latency and high-throughput workloads. It integrates easily with popular Big Data tools like Hadoop and Spark and it supports the open-source, industry-standard HBase API. Cloud Bigtable is a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

Cloud Spanner

Cloud Spanner is a fully managed, mission-critical relational database service built from the ground up and battle tested for transactional consistency, high availability, and global scale. With traditional relational semantics (schemas, ACID transactions, SQL) and automatic, synchronous replication with high availability, Cloud Spanner is the only database service of its kind on the market.

Train Custom Machine Learning Models

Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models by leveraging Google’s state of the art transfer learning, and Neural Architecture Search technology.

AutoML Vision is the first product to be released. It is a simple, secure and flexible ML service that lets you train custom vision models for your own use cases. Soon, Cloud AutoML will release other services for all other major fields of AI. To express interest and help shape the future of Cloud AutoML products, you can share your ideas with us.

Hardware Optimized for Machine Learning

Google Cloud TPUs are a family of hardware accelerators that Google designed and optimized specifically to speed up and scale up ML workloads for training and inference programmed with TensorFlow. TPUs are designed to deliver the best performance per dollar for targeted TensorFlow workloads, and to enable ML engineers and researchers to iterate more quickly.

Large Scale Machine Learning Service

Google Cloud Machine Learning Engine makes it easy for you to build sophisticated, large scale machine learning models that cover a broad set of scenarios from building sophisticated regression models to image classification. It is portable, fully managed, and integrated with other Google Cloud Data platform products such as Google Cloud Storage, Google Cloud Dataflow and Google Cloud Datalab so you can easily train your models.

Powerful Job Search and Discovery

Google Cloud Job Discovery provides highly intuitive job search that anticipates what job seekers are looking for and surfaces targeted recommendations that help them discover new opportunities. In order to provide the most relevant search results and recommendations, the API uses machine learning to understand how job titles and skills relate to one another, and what job content, location and seniority are the closest match for a jobseeker’s preferences.

Create conversational experiences across devices and platforms

Dialogflow Enterprise Edition is an end-to-end development suite for building conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices. You can use it to build interfaces (e.g., chatbots) that are capable of natural and rich interactions between your users and your business. It is powered by machine learning to recognize the intent and context of what a user says, allowing your conversational interface to provide highly efficient and accurate responses.

Powerful Video Analysis

Google Cloud Video Intelligence API makes videos searchable and discoverable by extracting metadata, identifying key nouns, and annotating the content of the video. By calling an easy-to-use REST API, you can now search every moment of every video file in your catalog and find each occurrence of key nouns as well as its significance. Separate signal from noise, by retrieving relevant information by video, shot, or frame.

Powerful Image Analysis

Google Cloud Vision API enables you to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g. "sailboat", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images.

Powerful Speech Recognition

Google Cloud Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes 120 languages and variants, to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or pre-recorded audio, using Google’s machine learning technology.

High-Fidelity Speech Synthesis

Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 32 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible. As an easy-to-use API, you can create lifelike interactions with your users, across many applications and devices.

Powerful Text Analysis

Google Natural Language API reveals the structure and meaning of text by offering powerful machine learning models in an easy to use REST API. You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can also use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app.

Fast, Dynamic Translation

Google Cloud Translation API provides a simple programmatic interface for translating an arbitrary string into any supported language. Translation API 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 (e.g. French to English).

Batch and Stream Data Processing

Google Cloud Dataflow offers a unified programming model and a managed service for executing a wide range of data processing patterns including streaming analytics, ETL, and batch computation. Cloud Dataflow frees you from operational tasks like capacity planning, resource management and performance optimization.

Managed Hadoop & Spark

Use Google Cloud Dataproc, a managed Spark and Hadoop service, to easily process big datasets using the powerful and open tools in the Apache big data ecosystem. Control your costs by creating managed clusters of any size in about a minute, and turning them off when you're done, paying for what you use, not idle clusters. Cloud Dataproc integrates with storage, compute, and monitoring services across Cloud Platform products, giving you a powerful and complete data processing platform.

Workflow Orchestration

Google Cloud Composer is a fully managed workflow orchestration service that empowers you to author, schedule, and monitor pipelines that span across clouds and on-premises data centers. Built on the popular Apache Airflow open source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use.

Powerful Data Exploration

Google Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data. It is integrated with BigQuery and Google Cloud Machine Learning to give you easy access to key data processing services.

Tell great data stories to support better business decisions

Google Data Studio turns data into dashboards and reports that are easy to read, share, and customize.

Intelligent Data Preparation

Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale. There is no infrastructure to deploy or manage. Easy data preparation with clicks and no code.

Scalable Event Ingestion and Messaging Middleware

Google Cloud Pub/Sub is a serverless, large scale, reliable, real-time messaging service that allows you to send and receive messages between independent applications. You can leverage Cloud Pub/Sub’s flexibility to decouple systems and components hosted on Cloud Platform or elsewhere on the Internet. By building on the same technology Google uses, Cloud Pub/Sub is designed to provide “at least once” delivery at low latency with on-demand scaling to tens of millions of messages per second.

CLOUD DATA TRANSFER USE CASES
Data Center Migration

The data you create and store on-premises takes relentless focus and significant resources to manage it cost-effectively, securely, and reliably. As organizations face exponential growth of their data many are turning to the cloud to scale with them in their efforts. For your structured and unstructured data sets, whether they are small and frequently accessed or huge and rarely referenced, Google offers solutions to migrate that data quickly to Google Cloud Storage , BigQuery or Dataproc.

Decommission Tape Libraries and Infrastructure

Many organizations accumulate vast libraries of magnetic tape as they copy data for backup, archival or disaster recovery purposes. While critical in the event of a disaster, data on tape does not provide any value to your users and requires cumbersome infrastructure to maintain. Working with our many partners, you can easily transfer data from tape to Google Cloud Storage. Once in Google Cloud you can generate new insights with advanced analytics, discover it more easily for regulatory and legal purposes and apply machine learning.

Machine Learning

Once transferred to Google Cloud Storage or BigQuery your data is accessible via our Google Cloud Dataflow processing service for machine learning projects. Google Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech. Build models of any size with our managed scalable infrastructure. Your trained model is immediately available for use with our global prediction platform that can support thousands of users and TBs of data.

Content Storage and Delivery

If you need to serve users around the world with the highest availability, Google offers multi-regional setups designed for video streaming and frequently accessed content like web sites and images. For analytics and batch processing, regional setups are available to meet the unique requirements of those workloads. For content-rich use cases like these you can choose a data transfer option that will have minimal impact on your network while moving large amounts of data.

Backup and Archival

With increased frequency of cloud outages you need to ensure your data is always available. Using our data transfer services you can easily backup data from another cloud storage provider to Google Cloud Storage. You can ensure your data is retained cost-effectively by taking advantage of ultra low-cost, highly-durable and highly available archival storage offered through Google’s Nearline and Coldline storage classes. Object lifecycle management enables this automatically, transitioning data from one storage class to the next depending on your business’s cost and availability needs at the time.

Integrated monitoring, logging & diagnostics

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster. It is natively integrated with Google Cloud Platform, Amazon Web Services, and popular open source packages. Stackdriver provides a wide variety of metrics, dashboards, alerting, log management, reporting, and tracing capabilities.

Full-Stack Monitoring, Powered by Google

Stackdriver Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Stackdriver collects metrics, events, and metadata from Google Cloud Platform, Amazon Web Services (AWS), hosted uptime probes, application instrumentation, and a variety of common application components including Cassandra, Nginx, Apache Web Server, Elasticsearch, and many others. Stackdriver ingests that data and generates insights via dashboards, charts, and alerts. Stackdriver alerting helps you collaborate by integrating with Slack, PagerDuty, HipChat, Campfire, and more.

Real-time Log Management and Analysis

Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully-managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real-time.

Real-time Exception Monitoring and Alerting

Stackdriver Error Reporting counts, analyzes and aggregates the crashes in your running cloud services. A centralized error management interface displays the results with sorting and filtering capabilities. A dedicated view shows the error details: time chart, occurrences, affected user count, first and last seen dates and a cleaned exception stack trace. Opt-in to receive email alerts on new errors.

Detailed Performance Insights

Stackdriver Trace is a distributed tracing system for Google Cloud Platform that collects latency data from your applications and displays it in the Google Cloud Platform Console. You can see detailed near real-time insights into application performance. Stackdriver Trace automatically analyzes all your application traces to generate in-depth performance reports to surface application performance degradations and call flow performance bottlenecks.

Detailed Performance Insights and Analytics

Stackdriver Debugger is a feature of the Google Cloud Platform that lets you inspect the state of an application at any code location without using logging statements and without stopping or slowing down your applications. Your users are not impacted during debugging. Using the production debugger you can capture the local variables and call stack and link it back to a specific line location in your source code. You can use this to analyze the production state of your application and understand the behavior of your code in production.

Simplify Your Cloud Management

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments.

Manage Your APIs

Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, and Stackdriver Logging.

Powerful Web Admin UI

Manage and get insights into everything that powers your cloud application -- including web applications, data analysis, virtual machines, datastore, databases, networking, and developer services. Google Cloud Console helps you deploy, scale and diagnose production issues in a simple web based interface. Search to quickly find resources and connect to instances via SSH in the browser. Handle devops workflows on the go with powerful native iOS and Android applications. Master the most complex development tasks with Google Cloud Shell, your admin machine in the cloud.

Your Google Curated Admin Machine

Google Cloud Shell provides you with command-line access to your cloud resources directly from your browser. You can easily manage your projects and resources without having to install the Google Cloud SDK or other tools on your system. With Cloud Shell, the Cloud SDK gcloud command and other utilities you need are always available, up to date and fully authenticated when you need them.

Cloud Platform in a Mobile App

The Google Cloud Console mobile app gives you a convenient way to discover, understand, and respond to production issues. Monitor and make changes to Cloud Platform resources from your iOS and Android device. Manage Cloud Platform resources such as projects, billing, Google App Engine apps, and Google Compute Engine VMs. Receive and respond to alerts helping you quickly address production-impacting issues.

Google Cloud Billing API Documentation

The Google Cloud Billing API provides methods that you can use to programmatically manage billing for your projects in the Google Cloud Platform.

Google Cloud APIs

Access Google Cloud Platform products from your code. Cloud APIs provide similar functionality as Cloud SDK and Cloud Console, and allow you to automate your workflows by using your favorite language. Use these Cloud APIs with REST calls or client libraries in popular programming languages.

A Fast, High Performance Global Network

Google’s high quality private network connects our regional locations to more than 100 global network points of presence close to your users. Google Cloud Platform also uses state-of-the-art software-defined networking and distributed systems technologies to host and deliver your services around the world. Google global VPC leverages the Google-owned global high-speed network to link your applications across regions—privately and reliably. When every millisecond of latency counts, Google ensures that your content is delivered with the highest throughput, thanks to innovations like BBR congestion control intelligence.

Manage Networking For Your Resources

With Google Virtual Private Cloud (VPC) Network, you can provision your Google Cloud Platform resources, connect them to each other using the Google-owned global network, and isolate them from one another. You can also define fine-grained networking policies with Cloud Platform, on-premise or other public cloud infrastructure. VPC Network is a comprehensive set of Google-managed networking capabilities, including granular IP address range selection, routes, firewall, Virtual Private Network (VPN) and Cloud Router.

Worldwide Autoscaling and Load Balancing

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.

Highly Available Global DNS Network

Google Cloud DNS is a scalable, reliable and managed authoritative Domain Naming System (DNS) service running on the same infrastructure as Google. It has low latency, high availability and is a cost-effective way to make your application and services available to your users. Cloud DNS translates requests for domain names like www.google.com into IP addresses like 74.125.29.101. Cloud DNS is programmable. You can easily publish and manage millions of DNS zones and records using our simple user interface, command-line interface or API.

Fast, High Availability Interconnect

Google Cloud Interconnect allows Cloud platform customers to connect to Google via enterprise-grade connections with higher availability and/or lower latency than their existing Internet connections. Connections are offered by Carrier Interconnect service provider partners, and may offer higher SLAs than standard Internet connections. Google also supports direct connections to its network through direct peering. Customers who cannot meet Google at its peering locations, or do not meet peering requirements, may benefit from Carrier Interconnect.

Content Delivery Network

Google Cloud CDN leverages Google's globally distributed edge caches to accelerate content delivery for websites and applications served out of Google Compute Engine. 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.

Develop Faster on GCP

Google Cloud Platform provides a collection of tools and libraries that help you develop quicker. We’re developers too and we love tools that make us more productive, so we’re happy to offer these for use on GCP. Whether you’re looking to manage your resources from the command line, need better ways to debug source code in production, need a solution for running API backends or just want intuitive integration into your favorite IDE, we’re constantly working on tooling to make your life easier.

Essential Tools for Cloud Platform

Google Cloud SDK is a set of libraries and tools that you can use to manage computing resources and applications hosted on Google Cloud Platform. With the Cloud SDK, you have interactive command line tools to manage your virtual machines, your Cloud SQL instances, your deployments and more! The Cloud SDK also includes libraries for the Google Cloud APIs available in your language’s package manager, like Maven, npm and NuGet..

Simplify Your Cloud Management

Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments.

Collaborative Development on Git

Google Cloud Source Repositories are private Git repositories hosted on the Cloud Platform. You can use Cloud Source Repositories for collaborative development between members of your team, or use it with Stackdriver Debugger for real-time debugging of cloud apps. You can also connect your Cloud Source Repositories to repositories hosted on GitHub or Bitbucket. Connected repositories are synced automatically in both directions.

Make IntelliJ Your Cloud Platform IDE

With Cloud Tools for IntelliJ you can easily deploy Java backends for your cloud apps to the Google App Engine flexible environment. You can run and test the backend locally, and when you're finished developing, you can deploy your backend live from within IntelliJ IDEA Community or Ultimate Editions. If there are problems in product, you can debug your cloud backend using Stackdriver Debugger without making your users wait.

PowerShell on Google Cloud Platform

Cloud Tools for PowerShell lets you script, automate, and manage your Windows workloads running on Cloud Platform. Using PowerShell’s powerful scripting environment, customize your cloud workflows using the Windows tools you’re already familiar with.

Visual Studio as Your Cloud Platform IDE

Cloud Tools for Visual Studio is a powerful environment to build Windows and .NET applications and deploy them to Cloud Platform directly from your favorite IDE. Tap Google APIs, manage cloud resources, and deploy .NET applications to high-performance Windows VMs running on Google Compute Engine. Run and test your application locally and deploy to the cloud seamlessly right from Visual Studio.

Firebase Test Lab

Firebase Test Lab provides cloud-based infrastructure for testing mobile apps. With one operation, you can initiate testing of your app across a wide variety of devices and device configurations. Test results—including logs, videos, and screenshots—are made available in your project in the Firebase console. Even if you haven't written any test code for your app, Test Lab can exercise your app automatically, looking for crashes.