overhead energy of typical industry datacenters. Measure Power Usage Effectiveness (PUE) Adjust the Thermostat Use Free Cooling Manage Airflow Optimize Power Distribution
billion >20 In 20+ projects 3.2GW that produce 3.2 gigawatts 600K with the capacity to power more than 600k homes per year Wind Solar Alta Atlantic Wind Connection Balko Panhandle II Peace Garden Rippey Spinning Spur Shepherd’s Flat Brandenburg Clean Power Fund Ivanpah Jasper Mount Signal Recurrent Red Hills Regulus SMUD Solar City (nat’l) Sun Power (nat’l)
Backbone Committed regions for 2017 and number of zones # # Edge points of presence: https://peering.google.com Regions: https://cloud.google.com/compute/docs/regions-zones/regions-zones Google Cloud Platform Network 2 3 Singapore 2 S Carolina N Virginia Belgium London Tokyo (2016) Taiwan Mumbai Sydney Oregon Iowa Frankfurt São Paulo Finland 3 3 3 3 3 3 2 4 3 3 3
Big Table Storage Compute Engine (IaaS) App Engine (PaaS) Container Engine (powered by Kubernetes) Compute BigQuery Pub/Sub Dataflow Big Data Dataproc Datalab Translate API Cloud Vision Speech API Machine Learning Cloud ML
hardware Abstracted computing power Manages your container cluster and actively schedules your containers Infrastructure at Google speed Build your scalable app faster
(Really) Pay for what you use We bill in minute-level increments so you don’t pay for unused computing time, and automatically apply sustained use discounts. Fast, Easy Provisioning Quickly deploy large clusters of virtual machines with intuitive tools. Compliance & Security All data written to disk in Compute Engine is encrypted on the fly and then transmitted and stored in encrypted form. Compute Engine Batch Run short duration, heavy compute jobs. The more flexibility in timing and location you give us the better the pricing! $
of CPU/memory to reserve and keepalive policy, in a simple JSON config file. Container Engine will schedule your containers as declared. Better ops Your container cluster is equipped with capabilities, such as logging, container health checking, and autoscaling, to make application management easier. Docker support Container Engine supports the common Docker container format. And with Google Container Registry, Cloud Platform makes it easy to store and access your private Docker images. Managed container cluster Spin up a managed container cluster of virtual machines, ready for deployment. The vm nodes that comprise your cluster are fully managed, ensuring they are healthy and updated with critical patches. Container Engine Cloud flexibility With Red Hat, Microsoft, IBM, Mirantis OpenStack, and VMWare -- and the list keeps growing -- working to integrate Kubernetes into their platforms, you’ll be able to move workloads, or take advantage of multiple cloud providers, more easily.
and the Users API, let you build any application. Deploy at Google scale You can scale up to 7 billion requests per day and automatically scale down when traffic subsides. Focus on your code Let Google worry about database administration, server configuration, sharding & load balancing. Popular languages & frameworks Write applications in some of the most popular programming languages, use existing frameworks and integrate with other familiar technologies. App Engine Familiar development tools Use the tools you know, including Eclipse, IntellIJ, Maven, Git, Jenkins, PyCharm & more. Multiple storage options Choose the storage option you need: a traditional MySQL database using Cloud SQL, a schemaless NoSQL datastore, or object storage using Cloud Storage.
database servers • Stitch it all together - db connection strings • Duplicate for dev, test, and prod Manage the app • Deploy it • Scale it • Pager duty What would it take to launch this tiny app? This is a 90s style guestbook. All it needs is a rotating GIF.
experience • Integrated SDK across Cloud Platform • Compile source into binary containers with one command Easy microservices • Built-in API for building microservices App versioning and A/B testing • Application versioning and traffic splitting for slow rollouts / rollbacks • A/B testing across multiple experiments Common app building blocks • Managed services and APIs for storage, queueing, caching, logging, and auth
data using a fully-managed, relational MySQL database Powerful, simple and cost effective object storage service Managed, NoSQL, schemaless database for storing non-relational data
Coldline Target scenarios Content storage and delivery, business continuity For highest availability of frequently accessed data Store data and run data analytics or compute within a region For data accessed frequently within a region Store infrequently accessed content For data accessed < once a month Archival storage Data accessed < once a year Customer use case examples Streaming videos Serving images Serving web sites Analytics for e-commerce, IoT, etc - using Dataproc, Machine Learning & BigQuery Genomics processing, video transcoding in GCE Serving rarely accessed docs Movie archive
control. Your application can execute multiple datastore operations in a single transaction in which either all succeed or all fail, ensuring the integrity of your data. Managed Database Cloud Datastore is fully managed. Google automatically handles sharding and replication in order to provide you with a highly available & consistent database. Autoscale with your users Cloud Datastore automatically scales depending on your needs. This allows you to focus on building your application and not on worrying about provisioning & load anticipation. Built-in Redundancy With a single API call, data is automatically replicated across multiple data centers. High availability & durability are built in from the very core. Cloud Datastore Schemaless Access with SQL-like querying No need to worry about data models and migration. Cloud Datastore is a schemaless storage service that allows you to be agile by removing the need to think about the underlying structure of the data. Access your data from anywhere Build solutions that span App Engine and Compute Engine, and rely on Cloud Datastore as the integration point. With the RESTful interface that is exposed by Cloud Datastore, data can easily be accessed by any deployment target.
a web Console or a command-line interface. Transfer data to your instance by importing and exporting databases and CSV files. Flexible Charging If you're running a lightly or sporadically used database, you'll save money by only paying for the time you access your data. Easier Migration; No Lock-in Standard connections and tools such as mysqldump, MySQL Wire Protocol, and JDBC make it easier to migrate onto (or off!) Google Cloud Platform, and avoids lock-in. Familiar Infrastructure Build and deploy for the cloud faster because Cloud SQL offers standard MySQL databases, the most popular open source database in the world. Instances available up to 16GB RAM, 100GB storage. Cloud SQL Fully managed No worrying about replication, patch management or database management: we take care of it. Security, Availability, Durability Your data is replicated in many geographic locations as standard, and failover between them is handled automatically. We also manage your backups, making it easy for you to restore when needed, including point-in-time recovery.
services • Generalizable to vision, sound, text, video and other data • Runs on CPUs or GPUs, desktop, server, or mobile computing platforms. • Distributed via Apache 2.0 OSS license
• Train using a custom TensorFlow graph • Batch and online predictions at scale • Integrated Datalab experience • Regression and classification tasks • Runs on Google Brain using GPU & TPU
with salience Cloud Natural Language API - Call API from anywhere, with support for embedded Text, and Google Cloud storage - Support for English, Spanish and Japanese Understand Sentiment Sentiment Analysis Text Syntax Analysis Identify POS with dependency trees
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