Google Cloud Platform

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

Every year people spend billions of dollars buying goods online. Consumers who make these purchases and the companies that accept these online credit transactions need confidence that their data and processes are protected. We are pleased to announce that Google Cloud Platform has been validated for compliance with the Payment Card Industry (PCI) Data Security Standards (DSS). The standard will enable our customers to hold, process, or exchange cardholder information from any branded credit card on Google Cloud Platform.

PCI DSS provides a comprehensive and robust security framework for securing credit card information and transactions. Google is using these third-party audited standards to deliver a platform on which application developers can create and operate their own secure and compliant solutions.

One of these developers is WePay. WePay helps their customers, such as online marketplaces and small business software providers seamlessly facilitate payments between their users while avoiding all the operational downsides of fraud, compliance and support. «Google Cloud Platform will enable WePay to process our partners' transactions in a fully scalable, highly available environment with robust security features,» said David Nye, Director of DevOps at WePay. «The new PCI DSS certification that Google Cloud Platform has achieved enables WePay to dynamically grow our infrastructure as fast as our business and our partners’ businesses demand.»

We are looking forward to helping customers write great apps on Google Cloud Platform with PCI DSS compliance. If you need PCI Compliance and would like more information, please contact our team.

Happy shopping!

As the core of any cloud workload, compute should be affordable, fast and scalable. That's why in October, we lowered the price of Compute Engine by 10% for all instance types in every region. On November 4th at Google Cloud Platform Live, we announced additional price reductions for networking and storage products.

Networking
As more of our customers manage traffic to and from instances and the Internet, we've lowered egress prices as much as 47% across Asia-Pacific to match prices in North America, Europe, the Middle East and Africa. Due to their particular costs, egress to China and Australia will be priced separately from the rest of Asia-Pacific, with China rates increasing March 1st, 2015. Developers can lower egress costs further by peering with Google via Google Cloud Interconnect at preferential rates.

Persistent Disk
The price for SSD Persistent Disk has dropped by 48% to $0.17 per GB/Month, still with no separate fee for I/O operations. Storage for Persistent Disk snapshots is now the same price as standard Google Cloud Storage: $0.026 per GB/Month, a 79% reduction. Beginning March 1st, 2015, restores of Persistent Disk snapshots will be subject to the same egress fees as other Compute Engine network traffic.

Cloud SQL
We've dropped the price of our biggestCloud SQL instances — D4, D8, D16, and D32 — by 25%. This applies to both Packaged and Per-Use billing plans.

BigQuery
The price of BigQuery storage has dropped by 23% to $0.02 per GB/Month, the same price as Google Cloud Storage's popular Durable Reduced Availability (DRA) storage class.

With some of the lowest prices in the industry, Compute Engine helps developers gain the performance and consistency of Google's worldwide network. Now it's more affordable than ever to deploy large clusters, handle giant data sets and work more efficiently in the cloud.