QUIC with HTTPS load balancing
With this beta release, HTTPS load balancing now supports the QUIC transport in connections to clients, improving performance by providing enhanced congestion control and security.
cloud.google.com/compute/docs/load-balancing/http/

User-defined request headers
In this beta release, customers can now specify additional headers that the Google Cloud Load Balancer can add to requests, helping improve the client experience and simplifying backend implementation.
cloud.google.com/compute/docs/load-balancing/http/backend-service

Creating a GCE VM instance with an existing instance template
With this GA release, Google Compute Engine customers can now create a VM instance based on an existing instance template with the ability to override certain instance-template fields.
cloud.google.com/compute/docs/instances/create-vm-from-instance-template

CLOUD AI
Cloud ML Engine – XGBoost and scikit-learn support
With this beta release, customers can now serve trained scikit-learn and XGBoost models on Cloud Machine Learning Engine, using its online prediction service to support scalable prediction requests against their trained models.
cloud.google.com/ml-engine/docs/scikit/

MANAGEMENT TOOLS
Structured data from Stackdriver Logging agent
Customers can now use the Stackdriver Logging agent to convert their logs to a structured JSON format for many common log types with this GA release.
cloud.google.com/logging/docs/structured-logging

NETWORKING
VPC Flow Logs for cloud network monitor
Now in beta, VPC Flow Logs for cloud network monitor increases transparency into your network and allows you to track network flows all the way down to an individual virtual interface in near real time.
cloud.google.com/vpc/docs/using-flow-logs

API PLATFORM & ECOSYSTEMS
Apigee compliance with GDPR requirements
Apigee Edge has been updated to comply with the EU General Data Protection Regulation, allowing customers to disable Apigee Support from being able to trace their proxy traffic, among other changes.
docs.apigee.com/api-platform/faq/privacy-security-settings

Вы приглашены присоединиться к нам для глобальной цифровой конференции: Модернизация ИТ в облачную Первой мировой. Узнайте, как инженеры и клиенты Google сокращают расходы и ОПС нагрузку, увеличивая производительность, и получить инновационные преимущества современной облачной платформы — все время вождения согласованности между проводимыми помещениями, организованы и средами общественного облака. Присоединяйтесь к нам для более чем 15 лейтмотив, секционных заседаний и тренингов по темам, которые варьируются от облака миграции в Google Kubernetes Engine.



Что вы можете узнать:

• Демонстрации и передовой опыт инженеров Google по модернизации с контейнерами
• Интерактивное обучение, чтобы начать работу с Google Cloud Platform и Kubernetes Engine
• Облако истории миграции от партнеров Google и клиентов

Специально для вашего часового пояса. Мы у себя четыре трансляции по всему миру и круглосуточно, так что вы можете присоединиться в любом месте, чтобы узнать, как начать свое облачное путешествие.

Задать нам что — нибудь, в любое время. Вы будете иметь уникальную возможность связаться с инженерами Google, партнерами и клиентами, так что вы можете получить ответы — жить.

cloudonair.withgoogle.com/events/modernize

Starting today, Cloud TPUs are available in beta on Google Cloud Platform (GCP) to help machine learning (ML) experts train and run their ML models more quickly.

cloudplatform.googleblog.com/2018/02/Cloud-TPU-machine-learning-accelerators-now-available-in-beta.html

Both the NVIDIA Tesla P100 and K80 GPUs are available as part of the beta—and V100s are on the way. Recently, we also introduced Preemptible GPUs as well as new lower prices to unlock new opportunities for you. Check out the latest prices for GPUs here.



cloudplatform.googleblog.com/2018/02/accelerate-highly-parallelized-compute-tasks-with-GPUs-in-Kubernetes-Engine.html

At Google, we've spent $30 billion improving our infrastructure over three years, and we’re not done yet. From data centers to subsea cables, Google is committed to connecting the world and serving our Cloud customers, and today we’re excited to announce that we’re adding three new submarine cables, and five new regions.

We’ll open our Netherlands and Montreal regions in the first quarter of 2018, followed by Los Angeles, Finland, and Hong Kong – with more to come. Then, in 2019 we’ll commission three subsea cables: Curie, a private cable connecting Chile to Los Angeles; Havfrue, a consortium cable connecting the U.S. to Denmark and Ireland; and the Hong Kong-Guam Cable system (HK-G), a consortium cable interconnecting major subsea communication hubs in Asia.

Together, these investments further improve our network—the world’s largest—which by some accounts delivers 25% of worldwide internet traffic. Companies like PayPal leverage our network and infrastructure to run their businesses effectively.

“At PayPal, we process billions of transactions across the globe, and need to do so securely, instantaneously and economically. As a result, security, networking and infrastructure were key considerations for us when choosing a cloud provider,” said Sri Shivananda, PayPal’s Senior Vice President and Chief Technology Officer. “With Google Cloud, we have access to the world’s largest network, which helps us reach our infrastructure goals and best serve our millions of users.”



Curie cable
Our investment in the Curie cable (named after renowned scientist Marie Curie) is part of our ongoing commitment to improve global infrastructure. In 2008, we were the first tech company to invest in a subsea cable as a part of a consortium. With Curie, we become the first major non-telecom company to build a private intercontinental cable.

By deploying our own private subsea cable, we help improve global connectivity while providing value to our customers. Owning the cable ourselves has some distinct benefits. Since we control the design and construction process, we can fully define the cable’s technical specifications, streamline deployment and deliver service to users and customers faster. Also, once the cable is deployed, we can make routing decisions that optimize for latency and availability.

Curie will be the first subsea cable to land in Chile in almost 20 years. Once deployed, Curie will be Chile’s largest single data pipe. It will serve Google users and customers across Latin America.

Havfrue cable
To increase capacity and resiliency in our North Atlantic systems, we’re working with Facebook, Aqua Comms and Bulk Infrastructure to build a direct submarine cable system connecting the U.S. to Denmark and Ireland. This cable, called Havfrue (Danish for “mermaid”), will be built by TE SubCom and is expected to come online by the end of 2019. The marine route survey, during which the supplier determines the specific route the cable will take, is already underway.

HK-G cable
In the Pacific, we’re working with RTI-C and NEC on the Hong Kong-Guam cable system. Together with Indigo and other existing subsea systems, this cable creates multiple scalable, diverse paths to Australia, increasing our resilience in the Pacific. As a result, customers will experience improved capacity and latency from Australia to major hubs in Asia. It will also increase our network capacity at our new Hong Kong region.


The Google network offers better reliability, speed and security performance as compared with the nondeterministic performance of the public internet, or other cloud networks. The Google network consists of fiber optic links and subsea cables between 100+ points of presence, 7500+ edge node locations, 90+ Cloud CDN locations, 47 dedicated interconnect locations and 15 GCP regions.

cloudplatform.googleblog.com/2017/11/introducing-an-easy-way-to-deploy-containers-on-Google-Compute-Engine-virtual-machines.html

Не пропустите эти только что объявленные сессии для Cloud OnAir: Путешествие с больших данных в AI. Независимо от того, являетесь ли вы новичком в искусственном интеллекте или опытным профессионалом, эти углубленные сессии могут помочь вам преобразовать данные в реальные идеи.
Вот краткий взгляд на некоторые из 20 + сеансов, которые будут показаны.
Big Data track — Узнайте, как быстро и уверенно погрузиться в свои данные с 30-минутными сеансами, такими как:

• Хранилище данных Reimagine с помощью Google BigQuery: что нового и что нового?
• Интеллектуальный Интернет вещей: начните анализ ваших глобальных данных устройства для анализа в реальном времени
• Zen Руководство по подготовке данных для аналитики: обучение и передовая практика

AI track — получите представление о том, как заставить AI работать для вас, в том числе:

• Курс краха API-интерфейсов Google Cloud Machine Learning
• Переосмысление беседы с облачной речью и диалоговым потоком

Ускоренное машинное обучение в облаке: графические процессоры, облачные TPU и многое другое
Чат в реальном времени с экспертами Google Cloud на этом глобальном онлайн-мероприятии, чтобы узнать, как ИИ может разблокировать мощь ваших данных. Следите за полным списком сессий и не забудьте зарегистрироваться сегодня.
https://cloudonair.withgoogle.com/events/​data-to-ai

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

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.