cloud-test: Open Source

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

Automated node management, stateful apps and HIPAA compliance come to Google Container Engine

Monday, December 19, 2016

Posted by David Aronchick, Product Manager, Google Container EngineKubernetes 1.5 releaseGoogle Cloud PlatformGoogle Container Engine

Auto-upgrade and auto-repair for nodes simplify on-going management of your clusters

Simplified cross-cloud federation with support for the new "kubefed" tool

Automated scaling for key cluster add-ons, ensuring improved uptime for critical cluster services

StatefulSets (originally called PetSets) in beta, enabling you to run stateful workloads on Container Engine

HIPAA compliance allowing you to run HIPAA regulated workloads in containers (after agreement to Google Cloud’s standard Business Associate Agreement).

GroupBy uses Container Engine to support continuous delivery of new commerce application capabilities for their customers, including retailers such as The Container Store, Urban Outfitters and CVS Health.

“Google Container Engine provides us with the openness, stability and scalability we need to manage and orchestrate our Docker containers. This year, our customers flourished during Black Friday and Cyber Monday with zero outages, downtime or interruptions in service thanks, in part, to Google Container Engine.” - Will Warren, Chief Technology Officer at GroupBy.

MightyTV ported their workloads to Container Engine to power their video recommendation engine, reducing their cost by 33% compared to running on traditional virtual machines. Additionally, they were able to remove a third-party monitoring and logging service and let go of maintaining Kubernetes on their own.

— —kubernetes-users-mailing listkubernetes-users Slackfree trial here

Google joins the Cloud Foundry Foundation

Thursday, December 15, 2016

Posted by Brian Stevens, Vice President, Google CloudGoogle Cloud Platformbuild the most open cloudCloud Foundry Foundation

Building on successBOSH Google CPI releaseCloud Foundry on GCPOpen Service Broker APIintegration with tools like Google Stackdrivercustom service brokers

Google Cloud Vision API

Google Cloud Speech API

Google Cloud Natural Language API

Google Translation API

What’s next

Google Cloud to join .NET Foundation Technical Steering Group

Wednesday, November 16, 2016

Posted by Chris Sells, Product Manager.NET FoundationGoogle Cloud Platform.NETfirst-classWindowsVisual StudioPowerShellcontact us.NET workloads

Introducing Zaius, Google and Rackspace’s open server running IBM POWER9

Friday, October 14, 2016

Posted by John Zipfel, Technical Program Manager and Rob Lippert, Technical Lead, Zaius Program

OpenCAPI ConsortiumZaius P9 ServerOpen Server specificationBarreleye platforms

Block diagram of Zaius

The specificationsOpen BMCframework for whichOCP 2.0 mezzanine slot NIC

Google and Rackspace co-develop open server architecture based on new IBM POWER9 hardware

Wednesday, April 6, 2016

recently joinedOpen Compute Project48V open rack that we're co-designing with FacebookISAGoogle Cloud PlatformPosted by Maire Mahony, Hardware Engineering Manager at Google & Director, OpenPOWER Foundation

Google joins Open Compute Project to drive standards in IT infrastructure

Wednesday, March 9, 2016

Open Compute Projectshared detailsengaging the industryPosted by John Zipfel, Technical Program Manager, Google

Collaborative Mathematics with SageMathCloud and Google Cloud Platform

Monday, September 29, 2014

Cross-posted on the Google for Education blog and Google Research blogWilliam SteinSageMathCloudPythonLaTeXRGoogle Cloud PlatformGoogle Compute Engine

SMC allows users to interactively explore 3D graphics with only a browser

Sagepeer-reviewed codeThe Sage NotebookSageMathCloudCoffeeScriptnode.jsPythonCassandraZFSbupCodeMirrorthree.js

Teaching: any course with a programming or math software component, where you want all your students to be able to use that component without dealing with the installation pain. Also, SMC allows students to easily share files, and even work together in realtime. There are dozens of courses using SMC right now.

Collaborative Research: all co-authors of a paper can work together in an SMC project, both writing the paper there and doing research-level computations.

gcloud-node - a Google Cloud Platform Client Library for Node.js

Tuesday, September 16, 2014

gcloud-nodeCloud DatastoreCloud Storage$ npm install gcloudvar gcloud = require('gcloud');

var dataset = new gcloud.datastore.Dataset({
projectId: 'my-project',
keyFilename: '/path/to/keyfile.json' // Details at
//https://github.com/googlecloudplatform/gcloud-node#README
});

dataset.get(dataset.key('Product', 123), function(err, entity) {
console.log(err, entity);
});Githubcontributors[gcloud-node]http://googlecloudplatform.github.io/gcloud-node/ Node.js is a trademark of Joyent, Inc. and npm is a trademark of npm, Inc.

In case you missed it in August: Google Cloud Platform Live, security that matters, Kubernetes expands and Zync joins Google

Wednesday, September 3, 2014

Google Cloud Platform Live date announcedannouncedGoogle Cloud Platform LiveSecurity that matterspublished ourISO 27001 certificateSOC 2 and SOC 3 Type II audit reportThe most simple explanation of cloud everthe most simple explanation of cloud computing ever.VMware joins the Kubernetes familyto welcome VMwareGoogle Compute Engine updates and improvementsmany new improvementsdisksClick-to-Deploy with Google Compute EngineApache CassandraRabbitMQMongoDB-Express Web Framework-AngularJS-NodeJS (MEAN) stackSSH from the Developers Consoleon the blogThe GDELT Event Database comes to Google BigQueryannounced the availability of the entire quarter-billion-record GDELT Event Database in Google BigQueryrevisited the GDELT Event DatabaseWelcome Zync RenderZync Render

Click to Deploy GitLab Community Edition on Google Compute Engine

Wednesday, August 27, 2014

Editor's update February 22, 2016: Click to Deploy for the GitLab Community Server is no longer available, but you can launch GitLab on Google Cloud Platform here within Cloud Launcher.GitLab Community Server

Nginx, a fast, minimal web server

Unicorn, Ruby on Rails hosting server

Redis, scalable caching service

PostgreSQL, popular SQL database

https://developers.google.com/cloud/gitlabGitLab is a registered trademark of GitLab B.V.. All other trademarks cited here are the property of their respective owners.

Containers, VMs, Kubernetes and VMware

Monday, August 25, 2014

announced Kubernetes

Machines: virtual machines on which containers run

Network: the physical or virtualized connectivity between containers in the cluster

Storage: reliable, cluster level distributed storage outside of a container’s lifecycle

AndromedaOpen Virtual Switch (OVS)Persistent Disk (PD)Virtual-SAN

Mesosphere collaborates with Kubernetes and Google Cloud Platform

Monday, August 18, 2014

Today’s guest post is by Florian Leibert, Mesosphere Co-Founder & CEO. Prior to Mesosphere, he was an engineering lead at Twitter where he helped introduced Mesos to Twitter where it now runs every new service. He then went on to help build the analytics stack at Airbnb on Mesos. He is the main author of Chronos, an Apache Mesos framework for managing and scheduling ETL systems. MarathonChronosHadoopSparknew web app

Kubernetes into Mesos

MarathonChronosHadoopSparkKubernetesMesosphere for Google Cloud Platform

Click to Deploy MEAN Development Stack on Google Compute Engine

Thursday, August 14, 2014

Editor's update February 22, 2016: Click to Deploy MEAN is no longer available, but you can launch the MEAN solution on Google Cloud Platform here within Cloud Launcher.MEAN Google Compute EngineMEAN

MongoDB, a leading NoSQL database

Express Web Framework, a minimal and flexible node.js web application framework

AngularJS, an extensible Javascript framework for responsive applications

NodeJS, a platform built on Chrome’s JavaScript runtime for server-side Javascript

https://developers.google.com/cloud/meanMEAN.io, is a registered trademark of Linnovate Technologies Ltd, Inc. All other trademarks cited here are the property of their respective owners.

In case you missed in July: The Kubernetes community grows, Cloud Platform goes to the World Cup, and a whole lot more

Friday, August 1, 2014

Expanding the Kubernetes communityjoining the Kubernetes communityopen source container management solutionCloud Platform predicts the World CupGoogle BigQueryafter the round of 16after the quarterfinalsbefore the finalA great new way to learn about App Enginelaunched a new courseDeveloping Scalable Apps with Google App EngineUrs talking about what makes App Engine uniquehistory of the data centerMore container news: Red Hat Enterprise Atomic Host comes to Compute EngineRed Hat Enterprise Linux Atomic Host coming to Google Compute EngineMore great customersWebydoUS Cellularwrote on our blogwrote on our blogGoogle App EngineGoogle Cloud DatastoreBrightcove and FastlyMore product newsGoogle Cloud Monitoring Read APIclick-to-deploy Apache Cassandradedicated Apache Cassandra clusterThe roadshows kicked offClick here to register

Reducing ranking latency from one hour to five seconds using Cloud Datastore

Thursday, July 31, 2014

We recently published a case study, Fast and Reliable Ranking in Datastore, that describes how we helped one of our Google App Engine customers shorten their ranking latency from one hour to five seconds. They applied unique design patterns such as job aggregation to achieve over 300 updates per second with strong consistency on Cloud Datastore. The following are highlights from the article.The problem of rankingApplibot

Tomoaki Suzuki, App Engine lead engineer at Applibot, Inc. and their game Legend of Criptids (#1 ranked game in the Apple App Store North America gaming category in October 2012)

Your game has hundreds of thousands (or more!) players.

Whenever a player fights enemies (or performs other activities), their score changes.

You want to show the latest ranking for the player on a web portal page.

SELECT count(key) FROM Players WHERE Score > YourScore

The easiest way: scan all players

MemcacheLooking for an O(log n) Algorithmplatinum support contracttree algorithmsGoogle Code Jam Ranking Library

Getting the rank of a score in a tertiary tree with google Code Jam Ranking Library

Concurrent Updates Limit Scalabilityentity groupBalancing Strong and Eventual Consistency with Google Cloud Datastoreone transaction per secondDatastore Team's Solution: Job AggregationMegastoreVoltDbRedisProposed Solution Runs at 300 Updates per Second Sustainedpull queueTask Queue

Performance graph of the solution

one hour to five secondsNotes

Click to Deploy Apache Cassandra on Google Compute Engine

Monday, July 14, 2014

Cassandra hitting 1 million writes per second on Google Compute Engine,virtual machine typespersistent disksGoogle Compute EngineApache Cassandradedicated Apache Cassandra cluster

Configured with the GoogleCloudSnitch for Google Cloud Platform awareness

Writes tuned for Google Persistent Disk

JVM tuned to perform on Google Compute Engine instances

Click to Deploy help pagehttps://developers.google.com/cloud/cassandraCassandra, is registered trademarks of Apache, Inc. All other trademarks cited here are the property of their respective owners.

Red Hat Enterprise Linux Atomic Host expands to Google Compute Engine

Thursday, July 10, 2014

Today’s guest blog comes from Jim Totton, Vice President and General Manager, Platform Business Unit at Red HatRed Hat Enterprise Linux 7 Atomic special interest groupannounced our visionEarlier today on our blog
Red Hat is embracing the Google Kubernetes project and plans to work to enable it with container management capabilities in our products and offerings. This will enable Red Hat customers to take advantage of cluster management capabilities in Kubernetes, to orchestrate Docker containers across multiple hosts, running on-premise, on Google Cloud Platform or in other public or private clouds. As part of this collaboration, Red Hat will become core committers to the Kubernetes project. This supports Red Hat’s open hybrid cloud strategy that uses open source to enable application portability across on-premise datacenters, private clouds and public cloud environments. chain of trustlaunched in March 2014Red Hat Enterprise Linux Blog

Welcome Microsoft, RedHat, IBM, Docker and more to the Kubernetes community

Thursday, July 10, 2014

Kubernetes

Microsoft is working to ensure that Kubernetes works great in Linux environments in Azure VMs. Scott Guthrie, Executive Vice President of the Cloud and Enterprise group at Microsoft told us, “Microsoft will help contribute code to Kubernetes to enable customers to easily manage containers that can run anywhere. This will make it easier to build multi-cloud solutions including targeting Microsoft Azure.”

Red Hat is working to bring Kubernetes to the open hybrid cloud. Paul Cormier, President, Products and Technologies at Red Hat, told us, “Red Hat has a rich history of contributing to and maturing innovative, open source projects. Through this collaboration with Google on Kubernetes, we are contributing to the evolution of cloud computing and helping deliver the promises that container technologies offer to the open hybrid cloud.”

IBM is contributing code to Kubernetes and the broader Docker ecosystem to ensure that containers are enterprise-grade, and is working with the community to create an open governance model around the project.

Docker is delivering the full container stack that Kubernetes schedules into, and is looking to move critical capabilities upstream and align the Kubernetes framework with Libswarm.

CoreOS is working to ensure that Kubernetes can work seamlessly with the suite of CoreOS technologies that support cloud-native application development on any cloud.

Mesosphere is actively integrating Kubernetes with Mesos, making the advanced scheduling and management capabilities available to Kubernetes customers.

SaltStack is working to make Kubernetes a portable container automation framework that is designed for the reality of the platform-agnostic, multi-cloud world.

Go source and documentation for Kubernetes on GitHub

In case you missed it in June: Big news about Containers, Big Data, Mobile, Disks, and more

Tuesday, July 1, 2014

May was busyDocker Containers in App Engine and Kubernetesefforts to make Containers first class citizensManaged VMsThe source and documentation for Kubernetes are hosted on GitHubSSD Persistent Disks and global load balancingSSD persistent disksglobal HTTP load balancingDiscussing the evolution of computing at Googleevolution of computing at GoogleOne-Click Rabbit MQ and MongoDBRabbit MQMongoDBcommand-line tool in the Google Cloud SDKImporting data to Google Cloud Storage is faster than everCloud Storage Online Cloud ImportCloud Platform documentation is better than everdevelopers.google.com/cloudGoogle I/Oseveral new products & features at Google I/Oyou can watch here

Cloud Trace and Cloud Debugger for Diagnosing Systems in Production: Cloud Trace and Cloud Debugger allow you to understand, diagnose, and improve systems in production. If you want to see Cloud Debugger in action, you can check out our demo during the I/O Keynote beginning at the 2 hour mark, or read more about it on our blog.

Analyze Huge Datasets with Cloud Dataflow: We demonstrated Cloud Dataflow, a managed service for creating data pipelines that ingest, transform and analyze data in both batch and streaming modes. You can see us analyze World Cup results using Dataflow. We also released a preview of Cloud Pub/Sub, helping you connect apps and devices that send data into processing pipelines.

Mobile Developers: Save User Data to the Cloud without Backend Code: We introduced a number of new features that make it easier to build mobile applications, including a new version of Google Cloud Save, which gives you a simple API for saving, retrieving, and synchronizing user data to the cloud and across devices without the need for backend code. We also put new tooling in Android Studio that simplifies the process of adding an App Engine backend to your mobile app. You can read more about these new features here.

Rising Star on ABC, Secret, and Coca-Colawith real-time, interactive voting powered by Cloud PlatformI/O keynoteCI&TGoogle Cloud Platform-powered Coca-Cola “Happiness Flag,”Connect with our team in a city near youNorth American Cloud Platform Developers roadshow

Google Cloud Platform Blog

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

Automated node management, stateful apps and HIPAA compliance come to Google Container Engine

Google joins the Cloud Foundry Foundation

Google Cloud to join .NET Foundation Technical Steering Group

Introducing Zaius, Google and Rackspace’s open server running IBM POWER9

Google and Rackspace co-develop open server architecture based on new IBM POWER9 hardware

Google joins Open Compute Project to drive standards in IT infrastructure

Collaborative Mathematics with SageMathCloud and Google Cloud Platform

gcloud-node - a Google Cloud Platform Client Library for Node.js

In case you missed it in August: Google Cloud Platform Live, security that matters, Kubernetes expands and Zync joins Google

Click to Deploy GitLab Community Edition on Google Compute Engine

Containers, VMs, Kubernetes and VMware

Mesosphere collaborates with Kubernetes and Google Cloud Platform

Click to Deploy MEAN Development Stack on Google Compute Engine

In case you missed in July: The Kubernetes community grows, Cloud Platform goes to the World Cup, and a whole lot more

Reducing ranking latency from one hour to five seconds using Cloud Datastore

Click to Deploy Apache Cassandra on Google Compute Engine

Red Hat Enterprise Linux Atomic Host expands to Google Compute Engine

Welcome Microsoft, RedHat, IBM, Docker and more to the Kubernetes community

In case you missed it in June: Big news about Containers, Big Data, Mobile, Disks, and more

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