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Google App Engine is a platform for building scalable web applications and mobile backends. It will scale your application automatically in response to the amount of traffic it receives so you only pay for the resources you use. Just upload your code and Google will manage your app's availability. There are no servers for you to provision or maintain.

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.

Google Kubernetes Engine is a managed 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.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

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.

Google Cloud Storage is unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archiving.Multi-Regional, Regional, Nearline, Coldline are the four storage classes.

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

Google Cloud Platform (GCP) Virtual Private Cloud (VPC) Network Peering allows private RFC1918 connectivity across two VPC networks regardless of whether or not they belong to the same project or the same organization.

Network Services like Cloud Load Balancing are beneficial in the following aspects:Worldwide Auto Scaling and Load Balancing, Global Load Balancing with Single Anycast IP, Software Define Load Balancing, Over one million queries per second, Seamless Autoscaling, Internet Load Balancing.

Google Cloud Interconnect is an interesting new service for businesses that want to make sure that they get the fastest possible connection to their customers. With Cloud Interconnect, Google Cloud Platform users can now choose among three new connectivity options: direct peering; carrier interconnect; and VPN connectivity.

BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator. BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage and spreadsheets. BigQuery makes it easy to securely share insights within your organization and

Google Cloud Pub/Sub brings the scalability, flexibility and reliability of enterprise message-oriented middleware to the cloud. By providing many-to-many, asynchronous messaging that decouples senders and receivers, it allows for secure and highly available communication between independently written applications. Google Cloud Pub/Sub delivers low-latency, durable messaging that helps developers quickly integrate systems hosted on the Google Cloud Platform and externally.

Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. Cloud Dataproc automation helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them. With less time and money spent on administration, you can focus on your jobs and your data.

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.

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. Cloud Machine Learning Engine can take any TensorFlow model and perform large scale training on a managed cluster. Additionally, it can also manage the trained models for large scale online and batch predictions. Your trained model is immediately available for use with our global prediction platform that can support thousands of users and TBs of data. The service is integrated with Google Cloud Dataflow for pre-processing, allowing you to access data from Google Cloud Storage, Google BigQuery and others.