cloud-test: 2017

GPUs are now available for Google Compute Engine and Cloud Machine Learning

Tuesday, February 21, 2017

By John Barrus, Product Manager

Google Cloud PlatformGPUsgcloud

NVIDIA K80 GPU Accelerator Board

Google Compute Engine

Google Cloud supports as many as 8 GPUs attached to custom VMs, allowing you to optimize the performance of your applications.

Pricing

Supercharge machine learningGoogle Cloud Machine LearningTensorFlowGoogle Cloud DataflowGoogle BigQueryGoogle Cloud StorageGoogle Cloud DatalabQuickstart guidethis document
Next stepsCloud NEXTCloudML BootcampSupercharge performance using GPUs in the cloud gcloud command-linewebsite

Developer Advocates offer up their favorite Google Cloud NEXT 17 sessions

Friday, February 17, 2017

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

Guest post: Multi-Cloud continuous delivery using Spinnaker at Waze

Thursday, February 16, 2017

By Tom Feiner, Systems Operations Engineer, Katriel Traum, Systems Operations Engineer, Nir Tarcic, Site Reliability Engineer, Waze and Matt Duftler, Software Engineer, SpinnakerWazeoutsmarting traffic, together— Google Cloud Platform— — continuous deliverySpinnaker
Spinnaker and continuous delivery FTWimmutable infrastructureJenkinsbakesblue/green

*Jenkins icon from Jenkins project.

Multi-Cloud blue/green deployment using Spinnaker

notification

Spinnaker

Waze: migrating a multi million user app to Google Cloud Platform

Best practices for Continuous Delivery on Google Cloud Platform

Why we migrated Orbitera to managed Kubernetes on Google Cloud Platform

Wednesday, February 15, 2017

By Eyal Manor, Vice President of Engineering, Google CloudOrbiteraGoogle Container Enginemost popularPokemon Go—Google Compute EngineGoogle App EngineGoogle Cloud PlatformCloud SQLGoogle StackdriverSlack channel

Introducing Cloud Spanner: a global database service for mission-critical applications

Tuesday, February 14, 2017

By Deepti Srivastava, Product Manager for Cloud SpannerCloud SpannerACID
“Cloud Spanner presents tremendous value for our customers who are retailers, manufacturers and wholesale distributors around the world. With its ease of provisioning and scalability, it will accelerate our ability to bring cloud-based omni-channel supply chain solutions to our users around the world,” — John Sarvari, Group Vice President of Technology, JDAGoogle Cloud Platform

Focus on your application logic instead of spending valuable time managing hardware and software

Scale out your RDBMS solutions without complex sharding or clustering

Gain horizontal scaling without migration from relational to NoSQL databases

Maintain high availability and protect against disaster without needing to engineer a complex replication and failover infrastructure

Gain integrated security with data-layer encryption, identity and access management and audit logging

pricing model
More Cloud Spanner customers share feedback—
“Based on our experience and performance testing, Cloud Spanner is the most compelling option we’ve seen to power a high-scale relational query workload. It has the performance and scalability of a NoSQL database, but can execute SQL so it’s a viable alternative to sharded MySQL. It’s an impressive technology and could dramatically simplify how we manage our databases.” — Peter Bakkum, Platform Lead, Quizlet
The history of Spanner Spanner research paper

(click to enlarge)

CAP Theoremread this postAdWordsCloud Spanner

Inside Cloud Spanner and the CAP Theorem

Tuesday, February 14, 2017

By Eric Brewer, Vice President of Infrastructure, Google CloudCAP theorem

C: consistency, which implies a single value for shared data

A: 100% availability, for both reads and updates

P: tolerance to network partitions

Spanner joins Google CloudCloud SpannerGoogle Cloud Platform5Inside Spanner Google controls the entire network and thus can ensure redundancy of hardware and pathsNext stepswhite paper Google Cloud Next ‘17

Google Cloud Endpoints now generally available: a fast, scalable API gateway

Monday, February 13, 2017

By Dan Ciruli, Product ManagerExtensible Service ProxyGoogle Cloud Platform

FirebaseAuth0 —Google Cloud ConsoleStackdriver LoggingGoogle App Engine flexible environmentGoogle Container EngineApp Engine standard environment
“When migrating our workloads to Google Cloud Platform, we needed to securely communicate between multiple data centres. Traditional methods like firewalls and ad hoc authentication were unsustainable, quickly leading to a jumbled mess of ACLs. Endpoints, on the other hand, gives us a standardised authentication system, backed by Google's security pedigree.” — Laurie Clark-Michalek, Infrastructure Engineer at Qubit
FrameworksPython FlaskJava Jersey
Pricingstandard rateread the documentationflexible environmentContainer EngineCompute EngineGoogle Cloud Endpoints Google GroupApigee EdgeGoogle Cloud Next '17

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

Friday, February 10, 2017

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

Fuzzing PCI express: security in plaintext

Thursday, February 9, 2017

By Julia Hansbrough, Software Engineer

GPUsGoogle Cloud PlatformhereFuzzing to the rescueactually quite common
Let's check out those memory mappings tooGoogle Compute Engine
Conclusionslikely the biggest source of major outages in production environments

Windows and .NET Codelabs: an overview

Monday, February 6, 2017

By Mete Atamel, Developer Advocate

Google Developers CodelabsGoogle Cloud Platformsectiondedicated page

Install and use Cloud Tools for Visual StudioDeploy Windows Server with ASP.NET Framework to Compute EngineBuild and launch an ASP.NET Core app from Google Cloud ShellDeploy an ASP.NET Core app to App EngineDeploy ASP.NET Core app to Kubernetes on Container EngineInstall and use Cloud Tools for PowerShellWindows and .NET

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

Thursday, February 2, 2017

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

Delivering a better platform for your SQL Server Enterprise workloads

Wednesday, February 1, 2017

By Amruta Gulanikar, Product Manager, Google Cloud PlatformGoogle Cloud Platformbuilding an ASP.NET applicationVisual StudioPowerShelllatest version of Windows ServerGoogle Compute EngineSQL Server EnterpriseWindows Server Coreenabled
SQL Server Enterprise Edition images on GCEpay by the minutebring their own licensespre-configured images

SQL Server Enterprise 2016

SQL Server Enterprise 2014

SQL Server Enterprise 2012

Supported SQL Server images available on Compute Engine (click to enlarge)

SQL Server Enterprise

In-memory tables and indexes

Row-level security and encryption for data at rest or in motion

Multiple read-only replicas for integrated HA/DR and read scale-out

Business intelligence and rich visualizations on all platforms, including mobile

In-database advanced analytics with R

price-to-performancecustomizable VM sizes automatic sustained use discountslearn how to create SQL Server instances easily on Google Compute Engine
High-availability and disaster recovery for SQL Server VMsinstructions

A highly available SQL Server reference architecture using Windows Server Failover Clustering and SQL Server AlwaysOn Availability Groups (click to enlarge)

Better backups with VSS-integrated persistent disk snapshots for Windows VMs— Snapshots

(click to enlarge)

instructions
Looking aheadwe expanded our list of pre-configured images.NET developer solutions.NET client librarycloud.google.com/windowscloud.google.com/sql-serverGCP NEXT ‘17 Windows Bootcampcontact ushear your feedback

SLOs, SLIs, SLAs, oh my - CRE life lessons

Tuesday, January 31, 2017

By AJ Ross and Adrian Hilton, Customer Reliability Engineers, and Dave Rensin, Director of Customer Reliability EngineeringLast weekCRE life lessons
Why have an SLO at all?aforementioned Shakespeare service
The SLO you run at becomes the SLO everyone expects———SRE Book—
Your SLA is not your SLOreally—
Conclusion

If you want to have a reliable service, you must first define “reliability.” In most cases that actually translates to availability.

If you want to know how reliable your service is, you must be able to measure the rates of successful and unsuccessful queries; these will form the basis of your SLIs.

The more reliable the service, the more it costs to operate. Define the lowest level of reliability that you can get away with, and state that as your Service Level Objective (SLO).

Without an SLO, your team and your stakeholders cannot make principled judgements about whether your service needs to be made more reliable (increasing cost and slowing development) or less reliable (allowing greater velocity of development).

If you’re charging your customers money you'll probably need an SLA, and it should be a little bit looser than your SLO.

worse than worthlessN. B. Google Cloud Next '17 is fewer than seven weeks away. Register now to join Google Cloud SVP Diane Greene, Google CEO Sundar Pichai, and other luminaries for three days of keynotes, code labs, certification programs, and over 200 technical sessions. And for the first time ever, Next '17 will have a dedicated space for attendees to interact with Google experts in Site Reliability Engineering and Developer Operations.

Guest post: building IoT applications with MQTT and Google Cloud Pub/Sub

Monday, January 30, 2017

By Rick Erickson, Co-founder and EVP and Paul Lundberg, CTO, Agosto[Editor’s note: Today we hear from Agosto, a Google Cloud Premier Partner that has been building products and delivering services on Google Cloud Platform (GCP) since 2012, including Internet of Things applications. Read on to learn about Agosto’s work to build an MQTT service broker for Google Cloud Pub/Sub, and how you can incorporate it into your own IoT applications.]Google Cloud Pub/Sub——RabbitMQhttps://github.com/Agosto/gcp-iot-adapterour offerings

Expanding our IDE support with a new Eclipse plugin for App Engine

Friday, January 27, 2017

By Amir Rouzrokh, Product Manager

EclipseCloud Tools for EclipseGoogle Cloud PlatformGoogle Cloud SDKApp Engine standard environmentWeb Tools PlatformGoogle Plugin for EclipseMaveninstalled through the Eclipse Update ManagerGitHubinstall the Cloud Tools for Eclipse pluginCloud ConsoleFree TrialCreate a project

Home

File > New > Project

Finish

Run As > App EngineDeploy to App Engine StandardAccount

DeployInstancesGitHubJava developers portalsee here

Google Cloud Platform Blog

GPUs are now available for Google Compute Engine and Cloud Machine Learning

Developer Advocates offer up their favorite Google Cloud NEXT 17 sessions

Guest post: Multi-Cloud continuous delivery using Spinnaker at Waze

Why we migrated Orbitera to managed Kubernetes on Google Cloud Platform

Introducing Cloud Spanner: a global database service for mission-critical applications

Inside Cloud Spanner and the CAP Theorem

Google Cloud Endpoints now generally available: a fast, scalable API gateway

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

Fuzzing PCI express: security in plaintext

Windows and .NET Codelabs: an overview

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

Delivering a better platform for your SQL Server Enterprise workloads

SLOs, SLIs, SLAs, oh my - CRE life lessons

Guest post: building IoT applications with MQTT and Google Cloud Pub/Sub

Expanding our IDE support with a new Eclipse plugin for App Engine

Don't Miss Next '17

Free Trial

GCP Blogs

Labels

Archive

Feed

Subscribe by email

Company-wide

Products

Developers