Google Cloud Platform Blog: Events

Six essential security sessions at Google Cloud Next 18

2018年6月22日星期五

By Robert Sadowski, Trust and Security Marketing, Google Cloud Google Cloud Next '18Google Cloud Platform 1. How Google Protects Your Data at Rest and in Transithere 2. How Google's Security Infrastructure Design Enabled Rapid, Seamless Response to “Spectre” and “Meltdown”here 3. BeyondCorp Beyond Googlehere 4. Trust Through (Access) Transparencyhere 5. Google Cloud: Data Protection and Regulatory Compliancehere 6. Shield Your Cloud with Verifiable Advanced Platform Securityhereregister for Next today

RailsConf 2017: a round-up

2017年5月25日星期四

By Aja Hammerly, Developer AdvocateRailsConfGoogle Cloud Platformcrap data jokeDHH's"What’s my app *really* doing in production?""Google Cloud <3 Ruby""Syntax Isn't Everything: NLP for Rubyists”Google’s Cloud Natural Language APIcodelabs

Google Cloud Platform: your Next home in the cloud

2017年3月9日星期四

By Brian Stevens, Vice President, Cloud Platforms
— Google Cloud Next ‘17Google Cloud Platform Bring your code to App Engine, we’ll handle the restGoogle App EngineNode.jsRubyJava 8Python 2.7 or 3.5Go 1.8
Cloud Functions public beta at your serviceGoogle Cloud FunctionsGoogle Cloud StorageGoogle Cloud Pub/SubFirebase Growing the Google BigQuery universe: introducing BigQuery Data Transfer Service BigQuery Data Transfer Service Slashing data preparation time with Google Cloud DataprepGoogle Cloud Datapreprepresents about 80% of the work that data scientists doGoogle Cloud Dataflowherehere Hello, (more) world —Google Cloud Platform regions Supercharging our infrastructure . . . run Intel SkylakeGPUs "We are now leveraging the strengths offered by cloud computation stacks to bring our data processing to the next level." — Ashok Belani, Executive Vice President Technology, Schlumberger . . . without supercharging our pricesCommitted Use DiscountsGoogle Compute Engineprices for Compute Engine—Google Cloud Platform Free Tier page

Join us at Next, right now

2017年3月8日星期三

By Alex Barrett, Editor, Google Cloud Platform bloglivestream

200 breakout sessions

enjoy the show

A community view: what’s top of mind at Google Cloud Next '17

2017年3月6日星期一

By Jo Maitland, Blogs and Social Media Lead, Google CloudGoogle Cloud Next '17

Amanda Folson, Develooper Advocate and Community Lead, GitLab

"The market is moving so fast that keeping tabs on it is tough when there’s so much going on. Google popped up overnight and is doing some very innovative work. As far as sessions go, I want to hear what Vint Cerf and Marc Andreessen have to say in their fireside chat on the past and future of enterprise computing. They’ve had a little bit to do with the internet! My company’s focused on orchestration and managing the lifecycle of code, so I’ll be attending sessions on Kubernetes, Docker and anything on DevOps. It’s where everything is headed."

Krish Subramanian, Founder, Rishidot Research

"I’m interested in finding out about enterprise companies adopting Google Cloud as well as the traction Google is seeing for machine learning. I want to see what’s in store to attract more devs to the service. Another trend I’m watching closely is serverless — I’ll be interested to learn how Google Cloud Functions stacks up against AWS Lambda."

David Mytton, Founder and CEO, Server Density

"We’ve been gradually migrating our systems over to GCP from IBM Softlayer. We are big advocates of handing off management of infrastructure to Google’s cloud services instead of wrangling it ourselves. We recently migrated our time series database to Google Cloud Bigtable. I’ll be giving a talk on this migration on March 8. I’m looking forward to meeting other GCP customers and learning about new products. Providing feedback one to one with specific Google teams is also really valuable."

Alex Williams, Founder and Editor-in-chief, The New Stack

"I am looking forward to learning more about how how Google views the next generation of data centers in the context of software development across multiple cloud infrastructures . . . be they customer infrastructures or those offered by competitors. . . We are curious about the evolution of APIs as they become more important for companies as a way to reach more third-party developers. This larger story about APIs is particularly pertinent when considering new "serverless" style architectures. It's in this realm that we see the intersection of machine learning and connected systems evolving. We'll be looking for proof points of this evolution when speaking with Google developers and engineers as well as customers and conference attendees. I am also hoping to get a deeper understanding of the way Google views open source ecosystems."

Simone Brunozzi, CTO, MosaixSoft

"1) Kubernetes vs. everything else2) Machine Learning tools"livestream

Developer Advocates offer up their favorite Google Cloud NEXT 17 sessions

2017年2月17日星期五

By Sam Ramji, Vice President of Product Management, Compute and Developer ServicesGoogle Cloud Next '17

If you’re a developer working in Ruby, you know to turn to Aja Hammerly for all things Ruby/Google Cloud Platform (GCP)-related. Aja’s top pick for Rubyists at Next is Google Cloud Platform < 3 Ruby with Google Developer Program Engineer Remi Taylor, but there are other noteworthy mentions on her personal blog.

Mete Atamel is your go-to DA for all things Windows on GCP. Selfishly, his top Next session is his own about running ASP.NET apps on GCP, but he has plenty more suggestions for you to choose from.

Groovy nut Guillaume Laforge is going to be one busy guy at Next, jumping from between sessions about PaaS, serverless and containers, to name a few. Here’s his full list of his must-see sessions.

If you’re a game developer, let Mark Mandel be your guide. Besides co-presenting with Rob Whitehead, CTO of Improbable, Mark has bookmarked sessions about location-based gaming, using GPUs and game analytics. Mosy on over to his personal blog for the full list.

In the past year, Google Apps Script has opened the door to building amazing customizations for G Suite, our communication and collaboration platform. In this G Suite Developers blog post, Wesley Chun walks you through some of the cool Apps Script sessions, as well as sessions about App Maker and some nifty G Suite APIs.

Want to attend sessions that teach you about our machine learning services? That’s where you’ll find our hands-on ML expert Sara Robinson, who in addition to recommending her favorite Next sessions, also examines her talk from last year’s event using Cloud Natural Language API.

schedulereserve your spot

5 must-see security sessions at Google Cloud Next '17

2017年2月10日星期五

By David B. Cross, Cloud Security Engineering DirectorGoogle Cloud Next '17Google Cloud Platform——Lessons learned from securing both Google and Google Cloud customersHow to create a secure, private environment in the cloud and on-prem with Google Cloud Virtual Private CloudsSecurity first for a mobile first strategyDesigning secure UX into your productsTrends in data security—security bootcampRegister

8 must-see sessions for application developers at Google Cloud Next '17

2017年2月2日星期四

By Chris Sells, Product Manager, Google CloudGoogle Cloud Next ‘17Google Cloud PlatformPower your Java workloads on Google Cloud PlatformAmir RouzrokhCloud Tools for IntelliJTake your ASP.NET apps to the next level with Google CloudGoogle Cloud StorageCloud Pub/SubRunning .NET and containers in Google Cloud PlatformGoogle App EngineKubernetesWindows on GCP bootcampYou can run that on App Engine?Using Apigee Edge to create and publish APIs that developers loveDeveloping made easy on Google Cloud PlatformGoogle Cloud FunctionsBuilding serverless applications with Google Cloud FunctionsGoogle Cloud Functions and Firebasefull session catalogregister

Google Cloud Platform sets a course for new horizons

2016年9月29日星期四

Posted by Brian Stevens, Vice President, Google CloudGoogle Cloud Delivering Google Cloud Regions for allGoogle Cloud PlatformGoogle Cloud Regions——recent expansion in Oregon

Embracing the multi-cloud worldKubernetesreached version 1.4 earlier this weekGoogle Container-VM image (GCI)Philips Lighting Accelerating the move to cloud data warehousing and machine learning—

Google BigQuery, our fully managed data warehouse, has been significantly upgraded to enable widespread adoption of cloud data analytics. BigQuery support for Standard SQL is now generally available, and we’ve added new features that improve compatibility with more data tools than ever and foster deeper collaboration across your organization with simplified query sharing. We also integrated Identity and Access Management (IAM) that allows businesses to fine-tune their security policies. And to make it accessible for any business to use BigQuery, we now offer unlimited flat-rate pricing that pairs unlimited queries with predictable data storage costs.

Cloud Machine Learning is now available to all businesses. Integrated with our data analytics and storage cloud services such as Google BigQuery, Google Cloud Dataflow, and Google Cloud Storage, it helps enable businesses to easily train quality machine learning models on their own data at a faster rate. “Seeing is believing” with machine learning, so we're rolling out dedicated educational and certification programs to help more customers learn about the benefits of machine learning for their organization and give them the tools to put it into use.

Data Lifecycle on GCP paper Introducing a new engagement model for customer support Niantic as they launched Pokémon GO

The Google Cloud GKE/Kubernetes team that supports many of our customers like Niantic

Save the date: GCP talks for July 2016

2016年6月29日星期三

Posted by Alex Barrett, Editor, Google Cloud Platform BlogGoogle Cloud PlatformContainerCon, Tokyo, JapanIan Lewishttp://events.linuxfoundation.org/events/containercon-japan/EuroPython 2016 Bilbao, Spainhttps://ep2016.europython.eu/en/

NodeSummit San Francisco, USASandeep Dineshhttp://nodesummit.com/YouTube

Top 10 GCP sessions from Google I/O 2016

2016年5月31日星期二

Posted by Jo Maitland, Managing Editor, Google Cloud Platform Blogdaydreaming about virtual realityAllo to DuoGoogle Cloud PlatformGoogle I/OOne Lap Around Google Cloud PlatformMandy WaiteBrad AbramsKubernetesContainer RegistryApp Engine Flexible EnvironmentGoogle Container EngineAWS EC2 instanceAja HammerlyStackdriverJust Enough Stackdriver To Sleep Well At NightCarter Morgan'sBest practices for orchestrating the cloud with Kubernetes

Did you know Kubernetes has seen 5,000 commits and over 50% from unique contributors since January 2015?

Making sense of IoT data with the cloudIan LewisSupercharging Firebase with Google Cloud PlatformSandeep DineshBret McGowenFirebase——Creating interactive multiplayer experiences with FirebaseMark MandelFelipe HoffaJordan TiganiGoogle BigQueryElection 2016: The Big Data ShowdownDominic PreussScaling your data from concept to petabytes

Kaz SatoHow to build a smart RasPi bot with Cloud Vision and Speech APIGoogle Cloud Spin: Stopping time with the power of CloudFrancesc Campoy FloresGCP YouTube channelpodcast@GoogleCloud

Cultivating Kubernetes Kollaborators at OSCON 2016

2016年5月25日星期三

Posted by Terrence Ryan, Developer AdvocateOSCONGoogle Cloud PlatformOSCON Contribute

John Mulhausen (standing left) from the Technical Writing team and Jeff Mendoza (standing right) from Developer Programs Engineering roam the tables and help Kubernetes hackers get started.

Frank Restaurantseven pull requests from four new contributors43 pull requests

Getting StartedKubernetes project on GithubHelp Wantedbounties on particular issues

Firebase and Google Cloud: better together

2016年5月18日星期三

Posted by James Tamplin and Francis Ma, Firebase Product LeadsFirebase joined GoogleGoogle Cloud PlatformGoogle I/O 2016Google Cloud StorageGoogle BigQueryour new siteFirebase blogrequesting a feature

Top 5 GCP NEXT breakout sessions on YouTube (so far)

2016年4月21日星期四

Posted by Alex Barrett, Editor, Google Cloud Platform BlogGCP NEXTthirty sessionsData Center 360 videoDay One keynotesDay 2 keynotes

What’s the secret behind Google’s legendary uptime? Three words: site reliability engineers. In “How Google Does Planet-Scale Engineering for Planet-Scale Infrastructure” Google engineering director Melissa Bindle lays out the relationship between SREs and developer teams, and how they ensure uptime for Google.com and Google Cloud Platform users. Even if your organization isn’t operating at quite planetary scale, lessons abound for anyone that cares about building and operating resilient environments.

What exactly is machine learning, and what can it do for you? In “Build smart applications with your new superpower: cloud machine learning” Google Developer Advocate Julia Ferraioli walks through the range of Google’s machine learning options, from TensorFlow, to Google Cloud Machine Learning to the Machine Learning APIs. She’s also joined by David Zuckerman, head of developer experience at Wix.com, who describes how it used Google machine learning to mine customer images with the new Vision API.

Cloud Platform users do the darndest things. In Analyzing 25 billion stock market events in an hour with NoOps on GCP, Fidelity Information Systems CTO Neil Palmer and developer Todd Ricker describe how they “ingest, process and analyze the entire U.S. options and equities market in 4 hours using Google Cloud Dataflow, Google Coud Pub/Sub and Google Cloud Bigtable.” That’s 15 TB of data. On a daily basis. That it then makes available for market reanalysis to the regulators.

Cloud Platform isn’t all about crunching large amounts of data for ginormous financial services firms. It’s also about democratizing access to Google’s amazing capabilities to the world at large, wherever they may be. In “Building iOS Apps with Firebase,” Google Cloud Developer Advocate Sara Robinson walks users through how to develop a native iOS app using Firebase, a mobile back-end as a service, and then ties that app into Google Cloud Vision API to provide face and object recognition.

Rounding out the list of most-watched breakout sessions is Painless container management with GKE & Kubernetes. Brendan Burns, Google’s lead engineer on the Kubernetes project, provides context and backstory; Rich Steenberg, principal engineer at WePay, a Kubernetes shop, describes how they’re using Kubernetes today; and Tim Hockin, a Google software engineer, describes what’s new in Kubernetes 1.2, and what’s on tap.

Google Cloud and Autodesk enable 10x improvement in media rendering efficiency

2016年4月18日星期一

Posted by Todd Prives, Product Manager, Google Cloud PlatformNABGoogle Cloud Platformin the media and entertainment industryAutodesk Maya

Product teams at Google and Autodesk have developed a cloud-optimized version of Autodesk® Maya®, the popular tool for animation, modeling and rendering. Via a Maya plugin, 3D scenes are transferred to Google Compute Engine in the background, while the artist is working. Because Maya is capable of running on the artist’s workstation and also in the cloud on GCP, this allows artists to run massively parallel rendering far more efficiently than before — taking advantage of the scalability, performance, and price benefits of GCP

Compared with the non-optimized version, Maya® customers see up to 10x improvement in file upload efficiency. This allows many rendering jobs to start instantaneously, cutting wait time and accelerating time to finished shot

RenderMan— Cloud Vision API graduates to General AvailabilityCloud Vision APIGoogle Photos

Logo Detection expanded to cover millions of logos

Updated OCR for understanding more granular text like receipts

Cloud CDN graduates to Beta Cloud CDN Betaglobal load balancing Lytro chooses Cloud Platform and The FoundryLytroThe Foundrywatching their videocloud.google.com/solutions/mediazyncrender.com

How Google is bringing cloud computing innovation to the enterprise

2016年3月23日星期三

GCP NEXT 2016Google Cloud Platformmachine learning and big data analyticsGoogle BigQuery—Google Cloud DataflowGoogle Data Studio 360automating IT operations to remove organizational drag Customer momentumBest BuyDomino’s PizzaSpotifyPocket GemsWixAtomic Fiction Data center expansion US Western region in Oregon and East Asia region in Tokyo, Japan Hybrid cloud management and operational efficiencyBMCPivotalRed HatSAPSplunkTenable Network SecurityVeritasAccentureCI&TCloud Technology PartnersPA ConsultingPwC Enterprise feature enhancements —Audit LoggingGoogle App EngineBigQueryDataflowProjectsService AccountsAPI CredentialsStackdriver LoggingGoogle Cloud StorageGoogle Cloud Pub/SubIAM RolesIAM roles— Customer Supplied Encryption Keyscustomer supplied encryption in beta for Compute Enginesecure storage resourcesNetworkingcross-cloud interconnectSubnetworksCloud RouterCloud VPNCloud Load BalancerhereCloud CDNCommitment to openness and running containers at scaleHadoop MapReduceSpannerSoftware-Defined NetworkingKubernetesDataflowTensorFlowOpen Compute ProjectOpenStack FoundationCloud Native Computing FoundationKubernetes 1.2Google Container Engine
The future of cloud is just beginningGCP NEXT Posted by Brian Stevens, VP, Product Management, Google Cloud Platform