Google Announces New Products and Services for Google Cloud Platform

Google Cloud Platform (GCP) continues to bring new capabilities to more regions, environments, Applications and the users. The company informs us about their aim, stating,”Our goal remains the same: we want to build the most open cloud for all businesses and make it easy for them to build and run great software.”
Recently, the company announced several new products and services, so as to deliver significant value to users. They also share updates to their infrastructure, so as to improve their ability to power Google’s own billion-user products, such as Gmail and Android, along with powering business across the globe.
Delivering Google Cloud Regions for all
The company states,
“We’ve recently joined the ranks of Google’s billion-user products. Google Cloud Platform now serves over one billion end-users through its customers’ products and services.”
In order to meet the growing demand, the company has reached an exciting turning point in their geographic expansion efforts. They have announced the location of eight new Google Cloud regions, which are - Mumbai, Singapore, Sydney, Northern Virginia, São Paulo, London, Finland and Frankfurt and they will add more regions, which will be announced next year.
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Google states,
“By expanding to new regions, we deliver higher performance to customers. In fact, our recent expansion in Oregon resulted in up to 80% improvement in latency for customers. We look forward to welcoming customers to our new Cloud Regions as they become publicly available throughout 2017.”
Embracing the Multi-Cloud World
The Applications running on GCP benefit from state-of-the-art infrastructure, however, they also run on the greatest and the latest computing platforms. Kubernetes, the open source container management system, which Google has developed and open-sourced, reached version 1.4 earlier this week and the company is currently updating Google Container Engine (GKE) to this latest version.
As per the Google Cloud platform, GKE customers will be among the first to benefit from this latest Kubernetes features, which includes the ability to monitor cluster add-ons, on-click cluster spin-up, improved security, integration with Cluster Federation along with the support for the new Google Container – VM image (GCI).
Kubernetes 1.4 improves Cluster Federation, so as to support straightforward deployment across multiple clusters and multiple clouds. In support of this particular feature, GKE customers will now be able to build Applications, which can easily span multiple Clouds, whether they are on-prem or on a different public vendor or a hybrid of both.
Accelerating the move to cloud data warehousing and machine learning
The company states,
“Cloud infrastructure exists in the service of applications and data. Data analytics is critical to businesses, and the need to store and analyze data from a growing number of data sources has grown exponentially. Data analytics is also at the foundation for the next wave in business intelligence — machine learning.”
Similar principles of data analytics and machine learning are being applied to large-scale businesses, so as to derive business intelligence from the data the user will need to access the multiple data sources, along with the ability to process it effortlessly. This is the reason GKE usage doubles every 90 days and it is a quite natural fit for several businesses. Google is currently introducing a new update to the data analytics along with the machine learning portfolio, which helps in taking care of their requirements.
Google BigQuery, is the fully managed data warehouse and it has been significantly upgraded, so as to enable the widespread adoption of Cloud data analytics. BigQuery support for Standard SQL is now generally available and Google has gone on to add new features, which would improve compatibility with more data tools than before and at the same time will also foster deeper collaboration across your organization with simplified query sharing. The company has also gone to integrate Identity and Access Management (IAM), which allows businesses to make their security policies stronger.
Cloud Machine Learning is now available to all the businesses. This has been integrated with the data analytics and storage services such as Google BigQuery, Google Cloud Dataflow as well as Google Cloud Storage. It helps in enabling the businesses to easily train quality machine learning models on their own data at a faster rate and hence Google is releasing the dedicated educational and certification programs in order to help more users to learn about the benefits of machine learning for their organization, providing them with the tools to put them into use.
For more information on how to manage data across all of GCP, check here.
Introducing a new engagement model for customer support
The company states,
“At Google, we understand that the overall reliability and operational health of a customer’s application is a shared responsibility. “
Google has also announced a new role on the GCP team - Customer Reliability Engineering (CRE). This has been designed to deepen the partnership between Google and its customers. The CRE has been comprised of Google engineers, who integrate with the customer’s operations teams, so as to share the reliability responsibilities for the critical Cloud Applications.
Google concluded by saying,
“The public cloud is built on customer trust, and we understand that it’s a significant commitment for a customer to entrust a public cloud vendor with their physical infrastructure. By offering new features to help address customer needs and collaborating with them to usher in the future with tools like machine learning, we intend to accelerate the usability of the public cloud and bring more businesses into the Google Cloud fold. Thanks for joining us as we embark toward this new horizon.”