Google Cloud Platform

cloudplatform.googleblog.com/2017/08/introducing-Network-Service-Tiers-your-cloud-network-your-way.html

Вы получили это сообщение, так как пользуетесь Google Cloud Platform, Firebase или API. Сообщаем Вам об изменении в работе сервисов Google Cloud, которое затронет Ваш аккаунт.

Начиная с 7 декабря 2016 г. сервисы Google Cloud Platform, Firebase и API можно будет использовать в России только в коммерческих целях. В связи с этим 7 декабря 2016 г. тип Вашего аккаунта будет изменен на юридическое лицо вместо физическое лицо.

Тип аккаунта «Юридическое лицо» означает, что Вы используете его в коммерческих целях. Владельцем такого аккаунта может являться коммерческая организация, аффилированное лицо, индивидуальный предприниматель или товарищество.

Мы не будем включать НДС в платежи по Вашему аккаунту, и Вам необходимо будет самостоятельно рассчитывать сумму налога по ставке, установленной в России.

Если Вы используете службы Google Cloud Platform, Firebase и API в некоммерческих целях, Вам следует отказаться от их использования до 7 декабря 2016 г. Для этого нужно отключить оплату для всех проектов. Подробнее об изменениях читайте в Справочном центре.

Если у Вас есть вопросы, обратитесь в службу поддержки Google Cloud или к менеджеру по работе с клиентами.

Cloud Machine Learning gets to work.
Cloud Translation and Natural Language APIs GA, GPUs on Compute Engine and the new Jobs API debut.
cloudplatform.googleblog.com/2016/11/Cloud-Machine-Learning-family-grows-with-new-API-editions-and-pricing.html

New Cloud Regions for all.
GCP now serves over a billion end users. To support customer growth, we’re adding eight new regions in 2017—Mumbai, Singapore, Sydney, Northern Virginia, São Paulo, London, Finland, and Frankfurt. Regional expansion benefits all with lower latency and cost, improved control over data localization, and enhanced stability and performance.
cloud.google.com/about/locations/
True multi-cloud support. No lock-in.
Container Engine (GKE) now delivers true cloud federation. Powered by newly released Kubernetes 1.4, GKE automated container management lets you easily deploy across multiple clusters—and multiple clouds. New capabilities include monitoring cluster add-ons, one-click cluster spin-up, and support for the new Google Container-VM Image (GCI).
cloud.google.com/container-engine/
Move to cloud data warehousing.
With new capabilities core to common large-scale business workloads, BigQuery is now a full-fledged data warehouse. Unlimited flat-rate pricing—and unlimited queries—make data storage costs predictable. And with support for standard SQL, simplified sharing, and Identity and Access Management (IAM) for greater security, BigQuery further democratizes cloud data analytics.
cloud.google.com/blog/big-data/2016/09/bigquery-introducing-powerful-new-enterprise-data-warehousing-features
Machine learning built for business.
The ability to warehouse data means gaining insight from multiple data streams is all the more challenging—and critical. Now in public beta, Cloud Machine Learning is now fully integrated with BigQuery, Cloud Dataflow, and Cloud Storage, to let you quickly create, train, and add machine learning to your operations and applications. Learn how to get started with our new certification program and professional services for machine learning.
cloud.google.com/blog/big-data/2016/09/google-cloud-machine-learning-now-open-to-all-with-new-professional-services-and-education-programs

Google Cloud SSL proxy terminates user SSL (TLS) connections at the global load balancing layer, then balances the connections across your instances via SSL or TCP. Cloud SSL proxy is intended for non-HTTP(S) traffic. For HTTP(S) traffic, HTTP(S) load balancing is recommended instead.
cloud.google.com/compute/docs/load-balancing/tcp-ssl/

Kubernetes 1.3 GA on Container Engine
The latest version of the Kubernetes open-source container management system is now generally available on Google Container Engine. This release includes increased scale and automation, cross-cluster federated services, and support for stateful applications.
cloudplatform.googleblog.com/2016/07/Kubernetes-1.3-on-tap-for-Google-Container-Engine.html


Cloud Bigtable GA
Bigtable, Cloud Platform’s fully managed NoSQL database service for large-scale analytical and operational workloads, is GA. It’s the same database that powers Google services like Search, Gmail, and Maps.
cloud.google.com/bigtable/

NETWORKING
Cloud Content Delivery Network (CDN) GA
Cloud CDN, now GA, securely caches and serves content from a single IP address. Fifty edge cache locations worldwide store content closer to users for reduced latency and cost.
Cloud Router GA
Now GA, Cloud Router quickly and securely connects on-premise networks to Cloud Platform. Cloud Router also dynamically routes enterprise-grade VPNs and manages topology changes to eliminate traffic disruption.

Google and Tableau have teamed up to create the first-ever European Big Data Viz Challenge.
Whether novice or expert, you’re invited to sign up and discover how easy it is to visualise insights from big data sets using the power of Tableau and Google Cloud Platform.

With Tableau, you can connect natively to Google BigQuery and Google Cloud SQL to analyse billions of rows in seconds without writing a single line of code. How you visually represent the data is up to you.

The winner gets a free pass and accommodation to attend Tableau Conference 2016 in Austin, Texas, in November, along with a tour of the Google Austin office. Finalists win free tickets to Tableau Conference On Tour London in June.

Everyone who takes part will receive complimentary GCP credits, a Tableau trial license, and the top 200 entries will be promoted on Tableau’s Public Gallery.
Submit your Viz by May 16th, 2016.

get.tableau.com/registration/bigdatachallenge.html?id=23112

Join developers from GCP and Bitnami for a hands-on demo. We’ll analyze campaign fundraising data from the Center for Responsive Politics to show how you can convert terabytes of data into rich, interactive visualizations in minutes.
In this demo, you’ll learn how to deploy a Google BigQuery enterprise dashboard and use Re:dash, an open source data visualization tool packaged by Bitnami, to analyze campaign data–and see what it may reveal.

cloud.google.com/election-2016/

Compute Engine offers Windows Server 2012 R2 and Windows Server 2008 R2 customers benefits of rapid deployments, increased uptime due to transparent maintenance, cheap and predictable block storage, and best in class Google Cloud Storage Nearline backup. Sharepoint, SQL and Exchange Server, and other Microsoft applications are also available to Compute Engine customers via the Microsoft License Mobility program.

googlecloudplatform.blogspot.ru/2015/07/Bringing-Windows-to-Google-Cloud-Platform.html

Hello Google Cloud Storage User,

Please be advised that, beginning July 14, 2015, Google will begin charging the following fees for Google Cloud Storage:

• $0.01 per GB of data transferred between buckets located in different regions of the same continent
• Egress rates per GB of data transferred between buckets located on different continents

Until then, you will be able to view your current usage in the billing details for your project in order to help you estimate the impact of these changes on your monthly spend.

For additional information and examples of this billing charge, please visit cloud.google.com/storage/pricing#network-regions

The Google Cloud Storage Team
Google Inc. 1600 Amphitheatre Parkway, Mountain View, CA 94043