Google Cloud Platform Announcements at Google Cloud Next 2017

Google made 100 announcements at its recent Google Cloud Next 2017 conference. If you would rather not have to sift through the full list to find the Google Cloud Platform announcements that matter to you, then you’ve come to the right place.

Click on a link in the list below to go directly to a particular announcement or section that interests you. Note that most of the services listed had already been announced prior to the event, but they are being announced again because they have entered a new release stage, such as going from Beta to GA (General Availability). Also, note that you will need to fill out an application to gain access to services in Private Beta (such as Cloud Dataprep).

GCP announcements from Google Cloud Next ’17

Security

Data Analytics

Database Services

Machine Learning Services

Pricing

Developer Platform and Tools

Infrastructure

Conclusion

Security

Identity-Aware Proxy (IAP) for GCP (Beta) is an alternative to a VPN that is easier to set up. It gives users access to cloud applications by requiring them to log in and checking their permission level. It is a free service.
Data Loss Prevention (DLP) for GCP (Beta) scans your data for sensitive information, such as credit card numbers. It can automatically redact (i.e. filter out) any sensitive data that it finds.

Key Management Service (KMS) for GCP (GA) gives you the tools to manage encryption keys yourself instead of letting Google manage them for you. Note that this is different from using customer-supplied encryption keys, which is where you encrypt data on the client side before sending it to Google Cloud. With KMS, you encrypt on the server side, but you do it with keys that you manage.

With Security Key Enforcement (SKE) (GA), you can require that your users push a button on a physical security key before accessing your cloud application. This will ensure that a user is on your real website rather than on a phishing site that looks like your site.

Data Analytics

BigQuery Data Transfer Service (Private Beta) lets you automate data uploads from SaaS applications into BigQuery. Once you configure it, your data will start flowing into BigQuery on a regular schedule. It currently works with Google’s advertising datasets, such as Google Adwords, and certain partners, such as Informatica and Tableau.

With Cloud Dataprep (Private Beta), you can use a graphical interface to clean your data without writing any code.

Google Cloud Dataflow now supports Python in GA. Previously, it only supported Java.
You can now monitor Cloud Dataflow using Stackdriver Monitoring (Beta).

Google Cloud Datalab (GA) is a data science tool that allows you to analyze and visualize your data. You can also use it to build machine learning models. It even works with other cloud services, and it is free.

Cloud Dataproc now supports:

  • Restarting failed jobs (Beta)
  • Single-node clusters (Beta)
  • GPUs (Beta)
  • Labels (GA)
  • Regional endpoints (Beta)

Database Services

Cloud SQL now gives you the option to use PostgreSQL (Beta). Cloud SQL previously supported only MySQL.

You can now use pre-configured images for Microsoft SQL Server Enterprise Edition (GA) and Windows Server Core. You can pay by the minute for both of these licenses. For SQL Server Enterprise, you also have the option to bring your own license.

Cloud SQL for MySQL now supports up to 32 cores and 208 GB of RAM per instance.
Cloud Spanner is the only relational database service that is both strongly consistent and horizontally scalable. A traditional relational database supports ACID transactions (strong consistency) but has limited scalability. A NoSQL database has high scalability but is only eventually consistent. Cloud Spanner gives you the best of both worlds. Google has been using it to handle millions of queries per second for years. It was actually released a month ago, but it’s such a big deal that Google is still talking about it.
SSD persistent disks now have better performance. Instances with 32 vCPUs provide up to 40k read IOPS and 30k write IOPS, as well as 800 MB/s of read throughput and 400 MB/s of write throughput.
Federated query on Cloud Bigtable is now supported. That is, BigQuery can now query data inside Cloud Bigtable.

Machine Learning Services

The Cloud Machine Learning Engine (GA) can look through terabytes of your data to find patterns and make predictions. Considering that machine learning is used for everything from Netflix movie recommendations to self-driving cars, just imagine what you could do with it. If you need help, then you can work with Google’s machine learning experts in their Advanced Solutions Lab. If you want to create a machine learning business, then you might want to enter the Machine Learning Startup Competition.

The Cloud Vision API (GA) classifies images into categories (such as “salad” or “rocket”), finds individual objects and faces within images, and reads printed words in images.

The Cloud Video Intelligence API (Private Beta) annotates your videos so you can search them as if they were text documents. For example, you can search for “dog” and it will tell you every occurrence of a dog in your video. That’s pretty amazing, but what’s even more incredible is that it can also search for verbs like “swim.”

The Cloud Jobs API (Alpha) is used by career sites to make the results returned by job searches more relevant. Google has added new features, such as Commute Search, which will return relevant jobs based on desired commute time and preferred mode of transportation.

Pricing

Compute Engine prices have been reduced by up to 8%.

Committed Use Discounts (Beta) give you a discount of up to 57% for signing a one- or three-year purchase commitment paid monthly.

Google Cloud Platform’s 60-day free trial has been extended to one year, although the total amount you can “spend” (and not have to pay for) during the trial period is still $300.

Google has also introduced Always Free usage limits. Fifteen of the GCP services now have a free usage level and Google will be adding more over time. For example, you can run one f1-micro instance per month (US regions only) and two million Cloud Functions invocations per month (!) for free. See Always Free Usage Limits for more details.

Developer Platform and Tools

Google AppEngine Flex (GA): You can now choose between the Standard environment and the Flexible environment to run applications in AppEngine. The Flexible environment supports more programming languages and third-party software than the Standard environment.

Cloud Functions (Beta) is Google’s answer to AWS Lambda. It is a serverless offering, so you do not need to spin up any virtual machines or containers to use it. You are only billed for the times when your function is running. Functions are triggered by events, such as a file being uploaded to a particular Cloud Storage bucket.

Cloud Container Builder allows you to build Docker containers on Google Cloud Platform. As a result, you don’t need to dedicate resources in your own environment for Docker builds, and considering that it’s free for the first 120 build-minutes per day, that’s a pretty enticing offer.

Infrastructure

Google announced three new data center regions: California, Montreal, and the Netherlands. Each has a minimum of three zones.

Container Engine node auto-repair (Beta): If a node fails health checks for 10 minutes, then Container Engine will repair that node.

Bigger VM instances: An instance can now have up to 64 vCPUs (previously, the maximum was 32) and up to 416 GB of memory.

Internal Load Balancing (GA) allows you to run a load balancer that is not accessible from the Internet.
Cross-Project Networking (Beta): What if you need to assign different departments to separate projects for billing purposes, but your network administrators would like all of the projects to use the same network for consistent security? Now you can use Cross-Project Networking to implement a solution.

Conclusion

Wow, that was a lot of announcements, and I didn’t even cover the customer and partner news or the new features for G Suite and Chrome. Google is clearly investing heavily in its cloud platform, and it is a serious competitor to Amazon Web Services and Microsoft Azure.

If you would like to learn more about GCP, check out our Google Cloud Platform courses.

Avatar

Written by

Guy Hummel

Guy is a certified cloud architect on all three of the major public cloud platforms: AWS, Azure, and Google Cloud Platform. He launched his first training website in 1995 and he's been helping people learn IT technologies ever since. Guy’s passion is making complex technology easy to understand.


Related Posts

Chester Avey
Chester Avey
— November 7, 2019

Cloud Computing Solutions: 7 Trends for the Future

The world of cloud computing is in a state of flux. Not long ago, the cloud was considered an emerging technology, known only to IT specialists. Today it is a part of everyday life – 96% of businesses use the cloud in one form or another, and this number only looks set to grow. Whether ...

Read more
  • Cloud Computing
  • internet of everything
  • multi-cloud
  • Security
  • SEO
Avatar
Cloud Academy Team
— October 23, 2019

Which Certifications Should I Get?

As we mentioned in an earlier post, the old AWS slogan, “Cloud is the new normal” is indeed a reality today. Really, cloud has been the new normal for a while now and getting credentials has become an increasingly effective way to quickly showcase your abilities to recruiters and compan...

Read more
  • AWS
  • Azure
  • Certifications
  • Cloud Computing
  • Google Cloud Platform
Avatar
Walter Stone
— October 10, 2019

8 Surprising Ways Cloud Computing Is Changing Education

Cloud computing: Empowering the education industry Over the years, the education industry has come a long way. Teaching and learning are no longer confined to textbooks and classrooms and now reaches computers and mobile devices. Today, learners are always connected — whether they are ...

Read more
  • Cloud Computing
  • education industry
Avatar
Michael Sheehy
— August 19, 2019

What Exactly Is a Cloud Architect and How Do You Become One?

One of the buzzwords surrounding the cloud that I'm sure you've heard is "Cloud Architect." In this article, I will outline my understanding of what a cloud architect does and I'll analyze the skills and certifications necessary to become one. I will also list some of the types of jobs ...

Read more
  • AWS
  • Cloud Computing
Avatar
Andrew Larkin
— August 7, 2019

Disadvantages of Cloud Computing

If you want to deliver digital services of any kind, you’ll need to estimate all types of resources, not the least of which are CPU, memory, storage, and network connectivity. Which resources you choose for your delivery —  cloud-based or local — is up to you. But you’ll definitely want...

Read more
  • AWS
  • Azure
  • Cloud Computing
  • Google Cloud Platform
Avatar
Adam Hawkins
— June 12, 2019

What is Kubernetes? An Introductory Overview

In part 1 of my webinar series on Kubernetes, I introduced Kubernetes at a high level with hands-on demos aiming to answer the question, "What is Kubernetes?" After polling our audience, we found that most of the webinar attendees had never used Kubernetes before, or had only been expos...

Read more
  • Cloud Computing
  • Kubernetes
Avatar
Scott Huntington
— March 25, 2019

How Does Cloud Computing Work?

Whether you're looking to become a cloud engineer or you're a manager wanting to gain more knowledge, learn the basics of how cloud computing works. Are you wondering about how cloud computing actually works? We can help explain the basic principles behind this technology. Cloud comput...

Read more
  • Cloud Computing
Avatar
Guy Hummel
— March 4, 2019

What is Ansible?

What is Ansible? Ansible is an open-source IT automation engine, which can remove drudgery from your work life, and will also dramatically improve the scalability, consistency, and reliability of your IT environment. We'll start to explore how to automate repetitive system administratio...

Read more
  • Ansible
  • Cloud Computing
Avatar
Cloud Academy Team
— February 11, 2019

What is Puppet? Get Started With Our Course

When it comes to building and configuring IT infrastructure, especially across dozens or even thousands of servers, developers need tools that automate and streamline this process. Enter Puppet, one of the leading DevOps tools for automating delivery and operation of software no matter ...

Read more
  • Cloud Computing
  • Puppet
Avatar
Andrew Larkin
— January 15, 2019

2018 Was a Big Year for Content at Cloud Academy

As Head of Content at Cloud Academy I work closely with our customers and my domain leads to prioritize quarterly content plans that will achieve the best outcomes for our customers. We started 2018 with two content objectives: To show customer teams how to use Cloud Services to solv...

Read more
  • AWS
  • Azure
  • Cloud Computing
  • Google Cloud Platform
Avatar
Cloud Academy Team
— December 21, 2018

2019 Cloud Computing Predictions

2018 was a banner year in cloud computing, with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) all continuing to launch new and innovative services. We also saw growth among enterprises in the adoption of methodologies supporting the move toward cloud-native...

Read more
  • Cloud Computing
  • Cloud Predictions
Albert Qian
Albert Qian
— August 28, 2018

Introducing Assessment Cycles

Today, cloud technology platforms and best practices around them move faster than ever, resulting in a paradigm shift for how organizations onboard and train their employees. While assessing employee skills on an annual basis might have sufficed a decade ago, the reality is that organiz...

Read more
  • Cloud Computing
  • Product Feature
  • Skill Profiles